#Best MICROSOFT DYNAMIC interview Questions

[dynamicscommunity101]

How Can You Effectively Prepare for Microsoft Dynamics 365 Interview Questions?

It takes strategy to prepare for a Microsoft Dynamics 365-focused interview, particularly for positions involving Finance and Operations (D365FO) or AXE 2012. Dynamics 365 is a potent customer relationship management (CRM) and enterprise resource planning (ERP) system that blends clever apps with essential business features. Interviewers frequently assess candidates' theoretical comprehension as well as their platform-specific practical knowledge. What is the best way to properly prepare for Microsoft Dynamics 365 interview questions?

Recognise the Position for Which You Are Applying

First and foremost, find out if the role is focused on project management, technical development, system administration, or functional consulting. Every position has distinct requirements and calls for a particular understanding of Dynamics 365 modules, including:

Operations and Finance (D365FO)

Engagement with Customers (Sales, Service, Marketing)

Management of the Supply Chain

Integration of Power Platforms

Adapt your research to the situation.

Examine the Fundamental Ideas and Architecture

Before attending any Dynamics 365 interview, you should be well-versed in:

D365 architecture (on-premises versus cloud)

Data Management Framework and Data Entities

AOS (Application Object Server) and batch jobs

Integration between DevOps and Lifecycle Services (LCS)

Overlapping and Extensions

Programming in X++ (for technical positions)

Review these fundamentals to answer technical or functional Microsoft Dynamics 365 interview questions with assurance.

Rehearse standard interview questions

Knowing the answers to frequently asked questions is crucial. These could consist of:

What makes D365FO different from AXE 2012?

How is X++ code debugged?

How does D365FO's Data Entity framework operate?

In D365, what distinguishes a package from a model?

In D365, how do processes work?

You can browse this useful site for an extensive list of well selected questions and answers.

Gain Practical Experience

While theory is important, real-world experience makes you stand out. Try the following using a D365 sandbox environment or Microsoft's Learn platform:

Personalising reports, tables, and formats

Making and implementing extensions

Controlling security roles and users

Setting up processes and financial aspects

This real-world knowledge adds nuance to your responses and increases the interviewer's trust in your abilities.

Keep Up with the Most Recent Features

Dynamics 365 is often updated by Microsoft with new features and modifications. Keep up to date by:

Getting the release wave documentation from Microsoft

Keeping up with the Dynamics 365 blog

Participating in LinkedIn groups and community forums

It shows well in interviews to be aware of current changes such as the One Version policy, improved reporting with Power BI, and Finance insights capabilities.

Examine Questions Based on Scenarios

Employers frequently evaluate your ability to apply your knowledge in practical situations. Get ready to respond to enquiries such as:

How might a new module be implemented without interfering with ongoing operations?

How is performance optimisation in processing vast amounts of data handled?

How do you handle security jobs in multi-company settings?

Practice by outlining your reasoning in detail.

Apply the STAR Method

Use the STAR approach to organise your responses while responding to behavioural questions:

Situation: A synopsis

Task: What was to be completed

Action: Your actions

The result

This method demonstrates not just your knowledge but also your application of it.

Make Use of Local Resources

Peer assistance and a wealth of knowledge are provided by online groups. Dynamics Community 101 is one such community that provides carefully selected Microsoft Dynamics 365 interview questions. Make use of tools such as these to assess your understanding and gain perspectives from seasoned experts.

Concluding remarks

It takes a combination of theoretical study, practical experience, and knowledge with the most recent changes to prepare for Microsoft Dynamics 365 interview questions. You may confidently demonstrate your knowledge and acquire the position you want by using materials that are specifically tailored to the job role and adjusting your preparation accordingly.

[thebusinesschannel]

The Fight for AI Market Dominance | CNBC Marathon

The Fight for AI Market Dominance | CNBC Marathon - https://www.thebusinesschannel.org/the-fight-for-ai-market-dominance-cnbc-marathon/ The Fight for AI Market Dominance | CNBC Marathon CNBC Marathon explores how different big tech companies are fighting for AI market dominance. A little-known AI lab out of China has ignited panic throughout Silicon Valley after releasing AI models that can outperform America’s best despite being built more cheaply and with less-powerful chips. DeepSeek, as the lab is called, unveiled a free, open-source large-language model in late December that it says took only two months and less than $6 million to build. The new developments have raised alarms on whether America’s global lead in artificial intelligence is shrinking and called into question big tech’s massive spend on building AI models and data centers. In a set of third-party benchmark tests, DeepSeek’s model outperformed Meta’s Llama 3.1, OpenAI’s GPT-4o and Anthropic’s Claude Sonnet 3.5 in accuracy ranging from complex problem-solving to math and coding. CNBC’s Deirdre Bosa has the story. This video also includes Bosa’s full interview with Perplexity CEO Aravind Srinivas. Humanoid robots are catching the attention, and billions of investment dollars, from big tech companies like Amazon, Google, Nvidia and Microsoft. Elon Musk is betting the future of Tesla on these machines, predicting its robot, Optimus, could propel it to a $25 trillion market cap. Powered by artificial intelligence, these bots have seen quantum leaps in what they’re capable of in just the past few years. CNBC’s Kate Rooney speaks with Agility Robotics, Apptronik, Sanctuary AI and others to explore the rise of these AI-driven humanoids, if they’re a cure-all for our global workforce problems, or if this is yet another tech bubble. Microsoft, Google and Amazon, along with other tech companies, have been getting creative in how they’re poaching talent from top artificial intelligence startups. Earlier this month, Google inked an unusual deal with Character.ai to hire away its prominent founder, Noam Shazeer, along with more than one-fifth of its workforce while also licensing its technology. It looked like an acquisition, but the deal was structured so that it wasn’t. Google wasn’t the first to take this approach. In March, Microsoft signed a deal with Inflection that allowed Microsoft to use Inflection’s models and to hire most of the startup’s staff. Amazon followed in June with a faux acquisition of Adept where it hired top talent from the AI startup and licensed its technology. It’s a playbook that skirts regulators and their crackdown on Big Tech dominance, provides an exit for AI startups struggling to make money, and allows megacaps to pick up the talent needed in the AI arms race. But while tech giants might think they’re outsmarting antitrust enforcers, they could be playing with fire. CNBC’s Deirdre Bosa has the story. Chapters: 00:00 Introduction 01:17 How China’s New AI Model DeepSeek Is Threatening U.S. Dominance (Published Jan 2025) 41:40 Why Nvidia, Tesla, Amazon And More Are Betting Big On AI-Powered Humanoid Robots (Published August 2024) 58:48 How Google, Microsoft And Amazon Are Raiding AI Startups For Talent (Published July 2024) Anchor: Deirdre Bosa Produced by: Andrew Evers. Jasmine Wu, Laura Batchelor, Drew Troast Reporter: Kate Rooney Edited by: Matt Soto, Field Producer: Kevin Schmidt Senior Director: Jeniece Pettitt Additional Camera: Katie Tarasov, Lisa Setyon Additional Footage: Getty Images, Character.ai, Agility Robotics, Sanctuary AI, Apptronik, Tesla, Figure AI, Boston Dynamics, Nvidia Credit to : CNBC The Business Channel

[skilltestautomation]

The Most Common Types of Pre-Employment Assessment Testing: What You Need to Know

Pre-employment assessment testing has become a standard step in modern recruitment processes. These tests help employers evaluate candidates beyond resumes and interviews by assessing skills, personality traits, and overall job fit. Understanding the types of assessments used can help both employers choose the right tools and job seekers better prepare for the hiring process.

In this blog, we’ll explore the most common types of pre-employment assessments, their purpose, and how they benefit both parties in the recruitment process.

1. Cognitive Ability Tests

Cognitive ability tests measure a candidate’s general mental capacity. They assess logical reasoning, problem-solving, verbal ability, numerical skills, and attention to detail. These tests are especially useful for roles that require critical thinking and decision-making.

Examples: Wonderlic Test, Criteria Cognitive Aptitude Test (CCAT)

Why it matters: Helps predict job performance and learning ability.

Pro Tip: Practice sample logic and math questions online to improve speed and accuracy.

2. Personality Tests

Personality tests evaluate a candidate’s behavioral traits and how well they might fit within a company’s culture. They are not about right or wrong answers but about understanding how someone typically thinks, reacts, and interacts with others.

Examples: The Big Five Personality Test, Myers-Briggs Type Indicator (MBTI)

Why it matters: Useful for roles where team dynamics and emotional intelligence are key.

Employers benefit by identifying candidates who align with their company values, while candidates gain insight into their own strengths and preferences.

3. Skills Assessment Tests

These tests measure specific job-related skills such as typing speed, software proficiency, or language ability. Employers use these tests to confirm that applicants have the technical competencies required for the job.

Examples: Microsoft Excel tests, coding challenges, writing samples

Why it matters: Ensures candidates meet the practical requirements of the role.

Pro Tip: Brush up on relevant tools or software before applying to roles that list them as requirements.

4. Situational Judgment Tests (SJTs)

Situational Judgment Tests assess how candidates respond to hypothetical, job-related scenarios. These tests measure decision-making, problem-solving, and interpersonal skills.

Why it matters: Great for roles in customer service, management, or leadership where real-time decision-making is critical.

Example Scenario: “A customer is angry about a delay in service. How would you respond?”

Tip: Choose the answer that best reflects professionalism, empathy, and problem-solving.

5. Integrity Tests

Integrity tests are designed to evaluate a candidate’s honesty, reliability, and ethical judgment. Employers use them to reduce the risk of theft, fraud, or workplace misconduct.

Why it matters: Particularly useful in industries like retail, finance, or security.

These tests often include: Questions about past behavior, attitudes toward rules, or hypothetical situations.

6. Emotional Intelligence (EQ) Tests

Emotional Intelligence tests assess how well a candidate can understand, manage, and use emotions in the workplace. High EQ is linked to better teamwork, leadership, and communication.

Why it matters: Crucial for roles that require collaboration, leadership, and conflict resolution.

Tip: Be authentic in your answers. EQ tests assess emotional awareness, not perfection.

Why Pre-Employment Assessments Matter

For employers, these tests help make data-driven hiring decisions, reduce turnover, and improve employee performance. For candidates, they offer an opportunity to showcase strengths that may not be obvious from a resume alone.

How to Prepare as a Job Seeker

Practice aptitude tests online to build confidence.

Be honest on personality and integrity assessments.

Understand the job description to anticipate the type of testing involved.

Get familiar with common platforms like SHL, HireVue, or TestGorilla.

Conclusion

Pre-employment assessments play a critical role in today’s hiring landscape. From measuring skills and cognitive ability to identifying personality traits and decision-making styles, these tests offer a more complete picture of a candidate's potential. Whether you're hiring or applying, understanding these tools is key to successful outcomes.

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ePortfolio References

Arruda, W. (2025). Define Your Differentiation To Answer The ‘What Makes You Unique’ Question. Forbes. https://www.forbes.com/sites/williamarruda/2025/02/23/define-your-differentiation-to-answer-the-what-makes-you-unique-question/ 

Bernieri, J. F. (2000). The importance of first impressions in a job interview. Midwestern Psychological Association, 5-20. https://www.researchgate.net/publication/313878823_The_importance_of_first_impressions_in_a_job_interview 

Blomquist, S. (2013). The Role Of Motivation In A Successful Internship. University Of Applied Sciences, 12-128. https://urn.fi/URN:NBN:fi:amk-2013060512973 

Chen-Fu, C. (2014). The Influences of University Interns’ Job Characteristics, Work Value, and Job Performance. Revista de Cercetare si Interventie Sociala, 47, 204-219. https://www.researchgate.net/publication/287166866_The_Influences_of_University_Interns'_Job_Characteristics_Work_Value_and_Job_Performance 

Cote, C. (2024). Personal Branding: What It Is & Why It Matters. Harvard Business School Online. https://online.hbs.edu/blog/post/personal-branding-at-work 

Crosby, O. (2009). Resumes, Applications, and Cover Letters. Occupational Outlook Quarterly, 53(2), 18-29. https://eric.ed.gov/?id=EJ875437 

He, G. (2025). Organizational Culture: Definition, Examples, & Best Practices. teambuilding.com. https://teambuilding.com/blog/organizational-culture 

Kühn, S. (2019). Application Guidliness. Hochschule Zwickau - University of Applied Sciences, 4-26. Microsoft Word - Bewerbungsleitfaden_10.05.2019.docx

Majka, M. (2024). Understanding Unique Value Proposition. Novomatic Technology Poland. https://www.researchgate.net/publication/381917183_Understanding_Unique_Value_Proposition?enrichId=rgreq-6921f2c34201bfa303d2fb39edcba9c9-XXX&enrichSource=Y292ZXJQYWdlOzM4MTkxNzE4MztBUzoxMTQzMTI4MTI1ODAyMzY2NUAxNzE5OTQ0ODE0OTg1&el=1_x_2&_esc=publicationCoverPdf 

Missman, K. (2023). What is an internship? Everything you should know. Forbes. https://www.forbes.com/advisor/education/career-resources/what-is-an-internship/ 

Moore, A. (2023). Personal Branding: What is it, Examples & Strategies For 2023. Personal Branding Blog. https://personalbrandingblog.com/personal-branding-what-is-it-examples-strategies/ 

Nanayakkara, K., Wilkinson, S., Halvitigala, D. (2022). Influences of dynamic changes of workplace on organisational culture. Journal of Management & Organization, 27(6), 1003-1020. http://dx.doi.org/10.1017/jmo.2021.69 

Odor, O. H. (2018). Organisational Culture and Dynamics. Global Journals, 18(1), 23-29. http://dx.doi.org/10.18535/ijsrm/v6i1.em05 

O’Higgins, N., & Caro-Pinedo, L. (2021). Chapter 3: What makes for a ‘good’ internship?. Edward Elgar, 35-54. https://doi.org/10.4337/9781800885042.00011 

Rozental, L., Meitar, D., & Miller-Karnieli, O. (2020). Medical students’ experiences and needs from written reflective journal feedback. ASME, 55(4), 505-517. https://doi.org/10.1111/medu.14406 

Sutton, M. T., Zeiber, A. R., & Frimpong, A. E. (2006). Developing an Effective Resume or Curriculum Vitae. American Fisheries Society, 1-24. http://dx.doi.org/10.13140/2.1.3738.8161 

[mano-amiga-integrated-services]

How to Ace Your IT Job Interview: Tips and Qualities Recruiters Seek

In the fast-paced world of IT, landing your dream job requires more than just technical know-how. Recruiters are looking for well-rounded candidates who can bring both hard and soft skills to the table. Here’s a comprehensive guide to help you prepare for your IT job interview and understand what qualities recruiters are looking for.

1. Research the Company and Role

Before stepping into an interview, it’s crucial to have a solid understanding of the company and the specific role you’re applying for. This shows your genuine interest and helps you tailor your responses to align with the company’s goals and culture.

Company Background: Learn about the company’s history, mission, values, and recent achievements.

Job Description: Understand the key responsibilities and required skills for the role. Be ready to discuss how your experience aligns with these requirements.

2. Brush Up on Technical Skills

Technical proficiency is a given in the IT industry. Make sure your skills are up-to-date and relevant to the job you’re applying for.

Core Competencies: Review the fundamental skills listed in the job description. Practice coding, system design, or any other relevant technical tasks.

Certifications: Highlight any certifications you have that are pertinent to the role, such as AWS, Cisco, or Microsoft certifications.

3. Prepare for Common Interview Questions

While every interview is unique, certain questions are commonly asked in IT interviews. Prepare thoughtful answers to these questions:

Technical Questions: Be ready to solve problems on the spot. Practice coding challenges and system design questions.

Behavioral Questions: Reflect on past experiences where you demonstrated key skills like problem-solving, teamwork, and adaptability.

4. Showcase Your Soft Skills

In addition to technical expertise, recruiters value soft skills that contribute to a positive work environment and effective collaboration.

Communication: Demonstrate your ability to explain complex technical concepts in simple terms.

Teamwork: Share examples of how you’ve successfully worked in teams to achieve common goals.

Problem-Solving: Highlight instances where you’ve tackled challenging problems and found effective solutions.

5. Ask Insightful Questions

An interview is a two-way street. Asking insightful questions shows your interest in the role and helps you determine if the company is the right fit for you.

Company Culture: Inquire about the team dynamics, work environment, and company values.

Growth Opportunities: Ask about opportunities for professional development and career advancement.

6. Follow Up After the Interview

A thoughtful follow-up can leave a lasting impression on the recruiter. Send a thank-you email within 24 hours of the interview, expressing your appreciation for the opportunity and reiterating your interest in the role.

Qualities Recruiters Look For

Technical Proficiency: Strong technical skills relevant to the job.

Adaptability: Ability to quickly learn new technologies and adapt to changing environments.

Problem-Solving Skills: Innovative thinking and effective problem-solving abilities.

Communication Skills: Clear and concise communication, both verbal and written.

Team Player: Collaborative mindset and ability to work well in a team.

Cultural Fit: Alignment with the company’s values and culture.

By preparing thoroughly and showcasing both your technical and soft skills, you can make a strong impression on recruiters and increase your chances of landing your desired IT job. You can also check out the best recruitment agency in Hyderabad. Happy sourcing!🌟

[dynamicscommunity101]

Essential AX 2012 Interview Questions

Introduction

Many businesses utilize Microsoft Dynamics AX 2012, a powerful enterprise resource planning (ERP) tool, to optimize their company processes. Companies are looking for qualified candidates to manage, optimize, and deploy their AX 2012 systems, so being prepared for the kinds of questions you might be asked during an interview can greatly increase your chances of getting the job. This post examines important interview questions about ax 2012 interview questions and provides advice on how to be well-prepared.

Typical Interview Questions for AX 2012

Could you describe the main features and modules of Dynamics AX 2012?

Provide an explanation of the primary modules, including project management, sales and marketing, supply chain management, human resources, and financial management. Emphasize the features of every module, including inventory control, sales order processing, and financial reporting handling, as well as personnel administration.

How do you manage AX 2012 customizations?

Answer Tip: Talk about how to create customizations using AX 2012 using the programming language X++. Describe the changes you make to forms, the fields you add, and the features you add to standard modules. Stress how crucial it is to strike a balance between custom features and default features in order to sustain system upgrades and maintainability.

What does AX 2012's Application Object Tree (AOT) serve as?

Answer Tip: In order to manage and arrange the application's objects, including tables, forms, reports, and classes, the Application Object Tree (AOT) is an essential part of AX 2012. Tell us about your development, customisation, and debugging processes using the AOT.

Could you explain the AX 2012 data migrating process?

Respond Advice: Describe the processes that go into data migration, such as loading, extracting, and transforming data (ETL). Talk about techniques for guaranteeing data correctness and integrity during the migration process, as well as technologies like the Data Import Export Framework (DIXF).

In AX 2012, how are security roles and permissions implemented?

Solution Tip: Describe how security roles, responsibilities, and privileges are defined and managed in AX 2012. Describe the process you use to manage user rights and assign roles to ensure that the right people have access to the right areas of the system while also adhering to security regulations.

What are Batch Jobs in AX 2012 and how do you use them?

Answer Tip: In AX 2012, batch jobs are used to plan and carry out background operations, like reporting and data processing, without requiring user input intervention. Explain the process of creating, setting up, and keeping an eye on batch jobs in order to automate tedious work and boost system performance.

How can performance problems in AX 2012 be resolved?

Answer Tip: Talk about how you use tools like SQL Profiler and the Dynamics AX Trace Parser to diagnose performance issues, as well as how you analyze SQL Server performance and examine system logs. Stress how crucial it is to optimize system parameters and queries in order to achieve better performance.

How does Dynamics 365 Finance and Operations vary from AX 2012?

Answer Tip: Emphasize the main distinctions, such as the shift from on-premises to cloud-based solutions, modifications to the functionality and user experience, and the advancement of features and integrations. Talk about the advantages and restrictions of each version.

Could you elaborate on the idea of the AX 2012 Data Entity?

Answer Tip: In AX 2012, data import and export procedures are made easier by the usage of data entities. Describe how they differ from tables and views and how they help to simplify data administration and integration with external systems.

In AX 2012, how is data integrity and correctness ensured?

Answer Tip: Talk about the best ways to keep data accurate and consistent, including putting validation rules into place, doing routine data reconciliations, and keeping an eye on data quality with system reports. Mention particular instruments and methods employed to guarantee accurate data.

Summary

It's important to prepare for a Dynamics AX 2012 interview by familiarizing yourself with the system's main modules, customization choices, and data management procedures. By becoming knowledgeable about important subjects like the Applying your knowledge and problem-solving abilities to Application Object Tree, data migration procedures, security roles, and performance debugging, you can effectively showcase your abilities. Knowing the distinctions between AX 2012 and more recent options, such as Dynamics 365 Finance and Operations, can also demonstrate your flexibility and knowledge of current developments in ERP systems. Your career in Dynamics AX 2012 can be advanced and you will be in a position to impress prospective employers with your extensive preparation and understanding of these key principles.

[innovativesjobs]

Top Companies Hiring for Senior Software Engineer Jobs in 2024

Crack the Code: Top Companies Hiring Senior Software Engineers in 2024

The demand at Senior Software Engineers jobs is at an all-time high. With countless companies across industries vying for top talent, it can be overwhelming to identify the best opportunities. Fear not! We've curated a list of top companies actively seeking experienced engineers to join their ranks.

Tech Titans Leading the Charge

These industry behemoths are synonymous with innovation and offer unparalleled career growth opportunities:

FAANG (Facebook, Amazon, Apple, Netflix, Google): The holy grail of software engineer jobs, these companies offer competitive salaries, cutting-edge projects, and a chance to work with the brightest minds in the industry.

Microsoft: A pioneer in software development, Microsoft continues to be a top choice for Senior Software Engineers jobs holders, offering a blend of stability and innovation.

Beyond the Big Tech: Promising Companies to Watch

While the FAANG companies are undoubtedly attractive, there are plenty of other exciting opportunities out there:

Unicorn Startups: Companies like Uber, Airbnb, and Stripe offer dynamic work environments and the chance to be part of something groundbreaking.

Fintech Giants: With the rise of digital banking and financial technology, companies like Stripe, PayPal, and Square are actively hiring Senior Software Engineers to drive innovation.

Healthcare Tech: As healthcare becomes increasingly digitized, companies focused on healthtech, such as Epic Systems, Cerner, and Athenahealth, are seeking top talent.

E-commerce Powerhouses: Amazon, Walmart, and other e-commerce giants require robust software infrastructure to manage their operations, creating ample opportunities for Senior Software Engineers.

Industry-Specific Opportunities

If you have a particular interest in a specific industry, consider these companies:

Automotive: Tesla, Ford, and GM are investing heavily in autonomous vehicles and electric vehicles, requiring skilled engineers.

Cybersecurity: Companies like Palo Alto Networks, Fortinet, and CrowdStrike are at the forefront of cybersecurity, offering exciting roles for engineers with a focus on security.

Aerospace and Defense: Companies like Lockheed Martin, Boeing, and Raytheon Technologies are involved in complex software development projects, requiring highly skilled engineers.

Tips for Landing Your Dream Job

Build a Strong Portfolio: Showcase your projects and contributions to highlight your skills and experience.

Network Effectively: Connect with professionals in your desired industry to learn about job opportunities and gain insights.

Master the Interview Process: Prepare for technical interviews by practicing coding challenges and system design questions.

Continuous Learning: Stay updated with the latest technologies and industry trends to remain competitive.

Remember: The job market is dynamic, and new opportunities emerge regularly. Utilize job boards, company websites, and professional networking platforms to stay informed about the latest openings.

By understanding the landscape and tailoring your job search accordingly, you can increase your chances of landing a fulfilling Senior Software Engineer role at a company that aligns with your career goals.

[getfreecourses-uk]

The Complete Data Structures and Algorithms in Python Udemy Free Course

Welcome to the Complete Data Structures and Algorithms in Python Bootcamp, the most modern, and the most complete Data Structures and Algorithms in Python course on the internet. At 40+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see 100+ Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams! Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.

Data Structures and Algorithms in Python

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer. After finishing this course, you will be able to: Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges. Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Data Structures and Algorithms in Python

Why this course is so special and different from any other resource available online? The Complete Data Structures and Algorithms Course in Python will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms! You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course. You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft. I cover everything you need to know about technical interview process! So whether you are interested in learning the top programming language in the world in-depth And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you! And this is what you get by signing up today: Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want Friendly and fast support in the course Q&A whenever you have questions or get stuck FULL money back guarantee for 30 days! Who is this course for? Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structures and Algorithms and begin interviewing in tech positions! As well as students currently studying computer science and want supplementary material on Data Structures and Algorithms and interview preparation for after graduation! As well as professional programmers who need practice for upcoming coding interviews. And finally anybody interested in learning more about data structures and algorithms or the technical interview process! This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you! The topics that are covered in this course. Section 1 – Introduction - What are Data Structures? - What is an algorithm? - Why are Data Structures and Algorithms important? - Types of Data Structures - Types of Algorithms Section 2 – Recursion - What is Recursion? - Why do we need recursion? - How Recursion works? - Recursive vs Iterative Solutions - When to use/avoid Recursion? - How to write Recursion in 3 steps? - How to find Fibonacci numbers using Recursion? Section 3 – Cracking Recursion Interview Questions - Question 1 – Sum of Digits - Question 2 – Power - Question 3 – Greatest Common Divisor - Question 4 – Decimal To Binary Section 4 – Bonus CHALLENGING Recursion Problems (Exercises) - power - factorial - productofArray - recursiveRange - fib - reverse - isPalindrome - someRecursive - flatten - captalizeFirst - nestedEvenSum - capitalizeWords - stringifyNumbers - collectStrings Section 5 – Big O Notation - Analogy and Time Complexity - Big O, Big Theta and Big Omega - Time complexity examples - Space Complexity - Drop the Constants and the non dominant terms - Add vs Multiply - How to measure the codes using Big O? - How to find time complexity for Recursive calls? - How to measure Recursive Algorithms that make multiple calls? Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft) - Product and Sum - Print Pairs - Print Unordered Pairs - Print Unordered Pairs 2 Arrays - Print Unordered Pairs 2 Arrays 100000 Units - Reverse - O(N)  Equivalents - Factorial Complexity - Fibonacci Complexity - Powers of 2 Section 7 – Arrays - What is an Array? - Types of Array - Arrays in Memory - Create an Array - Insertion Operation - Traversal Operation - Accessing an element of Array - Searching for an element in Array - Deleting an element from Array - Time and Space complexity of One Dimensional Array - One Dimensional Array Practice - Create Two Dimensional Array - Insertion – Two Dimensional Array - Accessing an element of Two Dimensional Array - Traversal – Two Dimensional Array - Searching for an element in Two Dimensional Array - Deletion – Two Dimensional Array - Time and Space complexity of Two Dimensional Array - When to use/avoid array Section 8 – Python Lists - What is a List? How to create it? - Accessing/Traversing a list - Update/Insert a List - Slice/ from a List - Searching for an element in a List - List Operations/Functions - Lists and strings - Common List pitfalls and ways to avoid them - Lists vs Arrays - Time and Space Complexity of List - List Interview Questions Section 9 – Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Question 1 – Missing Number - Question 2 – Pairs - Question 3 – Finding a number in an Array - Question 4 – Max product of two int - Question 5 – Is Unique - Question 6 – Permutation - Question 7 – Rotate Matrix Section 10 – CHALLENGING Array/List Problems (Exercises) - Middle Function - 2D Lists - Best Score - Missing Number - Duplicate Number - Pairs Section 11 – Dictionaries - What is a Dictionary? - Create a Dictionary - Dictionaries in memory - Insert /Update an element in a Dictionary - Traverse through a Dictionary - Search for an element in a Dictionary - Delete / Remove an element from a Dictionary - Dictionary Methods - Dictionary operations/ built in functions - Dictionary vs List - Time and Space Complexity of a Dictionary - Dictionary Interview Questions Section 12 – Tuples - What is a Tuple? How to create it? - Tuples in Memory / Accessing an element of Tuple - Traversing a Tuple - Search for an element in Tuple - Tuple Operations/Functions - Tuple vs List - Time and Space complexity of Tuples - Tuple Questions Section 13 – Linked List - What is a Linked List? - Linked List vs Arrays - Types of Linked List - Linked List in the Memory - Creation of Singly Linked List - Insertion in Singly Linked List in Memory - Insertion in Singly Linked List Algorithm - Insertion Method in Singly Linked List - Traversal of Singly Linked List - Search for a value in Single Linked List - Deletion of node from Singly Linked List - Deletion Method in Singly Linked List - Deletion of entire Singly Linked List - Time and Space Complexity of Singly Linked List Section 14 – Circular Singly Linked List - Creation of Circular Singly Linked List - Insertion in Circular Singly Linked List - Insertion Algorithm in Circular Singly Linked List - Insertion method in Circular Singly Linked List - Traversal of Circular Singly Linked List - Searching a node in Circular Singly Linked List - Deletion of a node from Circular Singly Linked List - Deletion Algorithm in Circular Singly Linked List - Method in Circular Singly Linked List - Deletion of entire Circular Singly Linked List - Time and Space Complexity of Circular Singly Linked List Section 15 – Doubly Linked List - Creation of Doubly Linked List - Insertion in Doubly Linked List - Insertion Algorithm in Doubly Linked List - Insertion Method in Doubly Linked List - Traversal of Doubly Linked List - Reverse Traversal of Doubly Linked List - Searching for a node in Doubly Linked List - Deletion of a node in Doubly Linked List - Deletion Algorithm in Doubly Linked List - Deletion Method in Doubly Linked List - Deletion of entire Doubly Linked List - Time and Space Complexity of Doubly Linked List Section 16 – Circular Doubly Linked List - Creation of Circular Doubly Linked List - Insertion in Circular Doubly Linked List - Insertion Algorithm in Circular Doubly Linked List - Insertion Method in Circular Doubly Linked List - Traversal of Circular Doubly Linked List - Reverse Traversal of Circular Doubly Linked List - Search for a node in Circular Doubly Linked List - Delete a node from Circular Doubly Linked List - Deletion Algorithm in Circular Doubly Linked List - Deletion Method in Circular Doubly Linked List - Entire Circular Doubly Linked List - Time and Space Complexity of Circular Doubly Linked List - Time Complexity of Linked List vs Arrays Section 17 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Linked List Class - Question 1 – Remove Dups - Question 2 – Return Kth to Last - Question 3 – Partition - Question 4 – Sum Linked Lists - Question 5 – Intersection Section 18 – Stack - What is a Stack? - Stack Operations - Create Stack using List without size limit - Operations on Stack using List (push, pop, peek, isEmpty, ) - Create Stack with limit (pop, push, peek, isFull, isEmpty, ) - Create Stack using Linked List - Operation on Stack using Linked List (pop, push, peek, isEmpty, ) - Time and Space Complexity of Stack using Linked List - When to use/avoid Stack - Stack Quiz Section 19 – Queue - What is Queue? - Queue using Python List – no size limit - Queue using Python List – no size limit , operations (enqueue, dequeue, peek) - Circular Queue – Python List - Circular Queue – Python List, Operations (enqueue, dequeue, peek, ) - Queue – Linked List - Queue – Linked List, Operations (Create, Enqueue) - Queue – Linked List, Operations (Dequeue(), isEmpty, Peek) - Time and Space complexity of Queue using Linked List - List vs Linked List Implementation - Collections Module - Queue Module - Multiprocessing module Section 20 – Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft) - Question 1 – Three in One - Question 2 – Stack Minimum - Question 3 – Stack of Plates - Question 4 – Queue via Stacks - Question 5 – Animal Shelter Section 21 – Tree / Binary Tree - What is a Tree? - Why Tree? - Tree Terminology - How to create a basic tree in Python? - Binary Tree in The Complete Data Structures and Algorithms Course in Python - Types of Binary Tree - Binary Tree Representation - Create Binary Tree (Linked List) - PreOrder Traversal Binary Tree (Linked List) - InOrder Traversal Binary Tree (Linked List) - PostOrder Traversal Binary Tree (Linked List) - LevelOrder Traversal Binary Tree (Linked List) - Searching for a node in Binary Tree (Linked List) - Inserting a node in Binary Tree (Linked List) - Delete a node from Binary Tree (Linked List) - Delete entire Binary Tree (Linked List) - Create Binary Tree (Python List) - Insert a value Binary Tree (Python List) - Search for a node in Binary Tree (Python List) - PreOrder Traversal Binary Tree (Python List) - InOrder Traversal Binary Tree (Python List) - PostOrder Traversal Binary Tree (Python List) - Level Order Traversal Binary Tree (Python List) - Delete a node from Binary Tree (Python List) - Entire Binary Tree (Python List) - Linked List vs Python List Binary Tree Section 22 – Binary Search Tree - What is a Binary Search Tree? Why do we need it? - Create a Binary Search Tree - Insert a node to BST - Traverse BST - Search in BST - Delete a node from BST - Delete entire BST - Time and Space complexity of BST Section 23 – AVL Tree - What is an AVL Tree? - Why AVL Tree? - Common Operations on AVL Trees - Insert a node in AVL (Left Left Condition) - Insert a node in AVL (Left Right Condition) - Insert a node in AVL (Right Right Condition) - Insert a node in AVL (Right Left Condition) - Insert a node in AVL (all together) - Insert a node in AVL (method) - Delete a node from AVL (LL, LR, RR, RL) - Delete a node from AVL (all together) - Delete a node from AVL (method) - Delete entire AVL - Time and Space complexity of AVL Tree Section 24 – Binary Heap - What is Binary Heap? Why do we need it? - Common operations (Creation, Peek, sizeofheap) on Binary Heap - Insert a node in Binary Heap - Extract a node from Binary Heap - Delete entire Binary Heap - Time and space complexity of Binary Heap Section 25 – Trie - What is a Trie? Why do we need it? - Common Operations on Trie (Creation) - Insert a string in Trie - Search for a string in Trie - Delete a string from Trie - Practical use of Trie Section 26 – Hashing - What is Hashing? Why do we need it? - Hashing Terminology - Hash Functions - Types of Collision Resolution Techniques - Hash Table is Full - Pros and Cons of Resolution Techniques - Practical Use of Hashing - Hashing vs Other Data structures Section 27 – Sort Algorithms - What is Sorting? - Types of Sorting - Sorting Terminologies - Bubble Sort - Selection Sort - Insertion Sort - Bucket Sort - Merge Sort - Quick Sort - Heap Sort - Comparison of Sorting Algorithms Section 28 – Searching Algorithms - Introduction to Searching Algorithms - Linear Search - Linear Search in Python - Binary Search - Binary Search in Python - Time Complexity of Binary Search Section 29 – Graph Algorithms - What is a Graph? Why Graph? - Graph Terminology - Types of Graph - Graph Representation - Create a graph using Python - Graph traversal – BFS - BFS Traversal in Python - Graph Traversal – DFS - DFS Traversal in Python - BFS Traversal vs DFS Traversal - Topological Sort in The Complete Data Structures and Algorithms Course in Python - Topological Sort Algorithm - Topological Sort in Python - Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) in Python - Why does BFS not work with weighted Graphs? - Why does DFS not work for SSSP? - Dijkstra’s Algorithm for SSSP - Dijkstra’s Algorithm in Python - Dijkstra Algorithm with negative cycle - Bellman Ford Algorithm - Bellman Ford Algorithm with negative cycle - Why does Bellman Ford run V-1 times? - Bellman Ford in Python - BFS vs Dijkstra vs Bellman Ford - All pairs shortest path problem - Dry run for All pair shortest path - Floyd Warshall Algorithm - Why Floyd Warshall? - Floyd Warshall with negative cycle, - Floyd Warshall in Python, - BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall, - Minimum Spanning Tree, - Disjoint Set, - Disjoint Set in Python, - Kruskal Algorithm, - Kruskal Algorithm in Python, - Prim’s Algorithm, - Prim’s Algorithm in Python, - Prim’s vs Kruskal Section 30 – Greedy Algorithms - What is Greedy Algorithm? - Well known Greedy Algorithms - Activity Selection Problem - Activity Selection Problem in Python - Coin Change Problem - Coin Change Problem in Python - Fractional Knapsack Problem - Fractional Knapsack Problem in Python Section 31 – Divide and Conquer Algorithms - What is a Divide and Conquer Algorithm? - Common Divide and Conquer algorithms - How to solve Fibonacci series using Divide and Conquer approach? Read the full article

[reasoningdaily]

Position Available: Associate Producer, Rickey Smiley Morning Show Overview:

Syndicated Network targeting the African-American community is seeking an Associate Producer for the Rickey Smiley Morning Show.

Candidate will assist the Executive Producer with managing day to day operations including technical and administrative responsibilities as well as creating informative and entertaining material for on-air broadcast.

Position is based in Dallas, TX.

Primary Responsibilities:

Assists with generating and researching ideas, topics and guest(s) for studio and on- location broadcasts. Assist with writing material for scripts, show rundowns, call list and/ or interview questions, including timely breaking news or topics. Contribute to and making use of archives and audio resources which can be used for “Best Of” and / or “Emergency” shows. Book and pre-interview on-air guests as needed, including appropriate and timely newsmakers. Maintain compliance with local, state and federal (FCC) rules and regulations. Ensure all technical connections are secured and functional prior to broadcast. Maintain online guest booking calendar as needed. Produce content for various outside correspondents, talent/programming segments, rejoins, demos, etc. Coordinate and brainstorms creative ideas with Executive Producer, show host, staff and programming management as directed. Coordinate talent studio/broadcast needs when broadcasting from offsite location. Produce and script daily promo. Refresh/Create new imaging and drops on a consistent basis. Verify and sign studio traffic logs per REACH Media Policy, as needed. Post program content to Program’s various Social Media platforms as directed. Co-ordinate with Executive Producer/Program Director on a weekly planning calendar for show to include, but not limited to, booking guests, promotions, campaigns, interactive, programming content, and other characteristics of Talent’s Show. Provide back-up services including board operations, phone screener and/or production responsibilities for Reach Media syndicated programming as directed. Step in as backup when the Executive Producer is not available. Perform various other tasks as assigned by management. Requirements: Extremely organized and able to effectively prioritize tasks while being attentive to details. Excellent communication & interpersonal skills to work in a diverse environment. Creative problem solving to make spontaneous decisions under time constraints. High level of creativity and ability to develop show concepts. Strong knowledge of current FCC rules & regulations. Strong computer skills including Internet website navigation, competency in Microsoft Office Suite and broadcast related programs. Proficient with the use and operation of on-air broadcasting equipment and various digital editing software including Pro-Tools and Adobe audition. Flexibility to adjust work schedule as needed in order to support Reach Media syndicated show(s) demands. Flexibility to travel as requested. Experience/Education:

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Position Availability: As soon as possible Candidates possessing the required professional experience, who display high energy and want to work in a dynamic and vibrant work environment should submit their resume along with salary requirements and references via email:

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[jayparkar218]

7 steps to improve your data structure and algorithm skills

You may overhear people saying, “ It’s important to master Data Structures and Algorithms.” But have you ever allowed about why you should have a good command of Data Structures and Algorithms?

Data Structures and Algorithms help us break real- world problems. For illustration, while developing a website, you might have to use a double tree to get the scale of your web runners.

Due to its utmost significance in companies, engineering council grads and working professionals ca n’t skip DSA.

Luckily, scholars get further reality checks from their seniors or platforms like LinkedIn. Indeed before entering the real world of job- stalking or the plant. Nearly every tech- titans like Amazon, Google, Microsoft, and Adobe conduct multiple interviews to estimate aspirants’ problem- working chops and knowledge of data structures and algorithms.

After knowing its significance, you might seek the stylish way to learn data structures and algorithms.

Do n’t worry; moment’s composition will clear all the confusion and companion you to the stylish way to learn data structures and algorithms.

Let’s progeny started with a strategic plan to make your literacy more effective and accessible.

1. Look Out For Best Resources:

In this period of the internet, you can find innumerous coffers similar as paid or overdue videotape lectures, tutorials, papers, books etc. Yet, it's quite a daunting task to find applicable material.

Due to lack of guidance, scholars frequently encounter shy literacy coffers that don't make them complete in Data Structures and Algorithms. Rather, they kill their interest and curiosity in the subject.

Thus, scholars should choose a dependable platform where they can watch videotape lectures to begin learning data structures and algorithms and take their skill assessments within frequent intervals.

You might be allowing about buying books, but these books may not be the stylish way to learn data structures and algorithms.

The further we write law, the further we learn. Although, if you're looking for some good reference books, check out five books to brush up on your generalities on DSA.

Understand the fundamentals properly

What if someone asked you to write a speech in Japanese, but you do n’t know Japanese. Will you be suitable to write? Obviously Not.

Similar is the case then. To start working on problems, you have to grasp the knowledge of Abecedarian generalities.

So, after collecting the applicable coffers, start with the basics.

·         Learn how to use each data structure and apply them by hand using any programming language of your choice.

·         Having dubieties about which programming language to choose, watch this.

·         Make a strong foundation by acquiring a deep understanding of how each data structure works.

·         Learn how to restructure any data structure according to multiple use cases.

·         Understand the conception of Time and Space complexity.

·         Get into the habit of writing law with pen and paper. It'll help in the long run-along with the interviews.

The following is an ordered list of data structures and algorithms you need to master

·         Array

·         Strings

·         Tuple and Sets

·         Lists and Two Dimensional Lists

·         HashMap and HashTable

·         Linked Lists

·         Mound and Queues

·         Recursion

·         Trees

·         Priority Ranges

·         Graphs

·         Dynamic Programming

·         Trie

3. Increase your Problem- Solving Capability

After chancing applicable coffers, you have learnt DSA. What about the number of problems that we need to break before we can say we're good with Data structures.

One can generally have questions like “ How numerous questions do I need to exercise? How important time should I invest in working a problem?”

Well, we've one line for all those floundering learners “ Focus on Quality over Quantity”. First, choose a data structure and break 15 easy problems, also 10 medium- position problems and at least five delicate problems.

There are no limitations on the number of questions, but levelling up from easy to hard problems will help you strengthen your generalities. Once you start working problems, some days you'll break them in one go while getting stuck on other days.

It’s alright. Try that problem utmost for two hours using pen and paper.

“ Great job,” if you getit.However, try it again, If not. Still not; please do n’t lose stopgap. It’s normal and happens with everyone eager to learn. Now watch the result, dry- run it, examine what points you were missing and law it.

Remember to bookmark the problems that you couldn't break in one go. Also, come back after 15-20 days and try to break the same problem again.

4. Spaced Repetition

“ I ’ve answered a lot of problems but still ca n’t break them when someone asks me suddenly or a week latterly. How am I going to remember them?”

Actually, by cramming up the canons, all you're doing is making the situation worse and losing everything you have learned so far.

The key to working any problem is practice and spaced reiteration. Spaced reiteration is a memory system that involves reviewing and recalling generalities at ideal distance intervals until it's completely learnt.

The stylish way is to break the problem after four days. Also in 10 days, also in a month. It'll ultimately come a habit for you to revise the generalities at ideal distance intervals.

5. Practice More and More

Till now, we've formerly learnt DSA. To move from being good to being among the stylish. Practice is the key.

So now, after one to two months of regular literacy to law, you should start exercising — a lot! Try to break further questions on different websites to reach the advanced position.

Numerous interactive websites concentrate heavily on your practice by furnishing you with innumerous questions and rendering contests.

Rendering contests are the most dependable way to upgrade yourself. They're like a sports field where you challenge yourself and get the better of others.

Confused about how to get started with rendering competitions? Read this blog.

6. Notice the patterns

Once you break plenitude of problems, you'll begin to notice patterns.

Yes, you read that rightly.

You have formerly answered enough problems for nearly all the motifs. Working new problems would be a subset or combination of formerly learnt generalities. You'll realise that utmost of the sense and law is common among them and can be reused depending on use cases.

The smart move you can take then's to insulate your common law and exercise it more frequently. You may wonder why we need this.

But the benefits of segregating ways that are reused are

You'll be suitable to decode it in one go, which shows you have a good hold on enforcing data structures.

You can decode it without giving any collecting or runtime crimes.

You can restructure the law to new problems snappily.

7. It’s time for Interview Problems

A council pupil’s ultimate thing is to get a job by the end of their final time.

Every other company, either presto- growing startups or product- grounded companies like Google, Microsoft, Amazon, Facebook, will really test your knowledge and problem- working chops.

Do n’t worry! If you have followed the path as stated over, we can really say that you ’ve learned data structures because:

·         You know the fundamentals of data structures and algorithms.

·         You know the core perpetration of each data structure along with its perpetration and all the system calls.

·         You would have rehearsed around 300 to 400 problems with varying difficulty situations.

·         You would have tutored the habit of revising the generalities after an ideal interval of time.

·         You know the common canons which can be reused depending on the use cases.

Now, All you have to do is skim through the core set and practice standard questions company-wise on different motifs.

Why choose Logicmojo?

Well, you must be wondering what‘s so special about Logicmojo? Logicmojo courses are an investment for upskilling yourself!

We urge you to explore the courses on our platform Logicmojo and there will be no turning back.

After completing the course, Logicmojo provides Internships and Job opportunities in various companies.

In short, Logicmojo will be for sure the best way to learn data structures and algorithms. It has hassle-free, adaptive and excelling online courses, mentors support, blogs, Interview-Experiences and everything you need to become the perfect candidate for your dream company!

Therefore, if you are interested in any of the courses provided by Logicmojo, don’t think much. Just go for it and trust me- you won’t regret your decision!

[courseforfree]

Data Structures and Algorithms from Zero to Hero and Crack Top Companies 100+ Interview questions (Java Coding)

What you’ll learn

Java Data Structures and Algorithms Masterclass

Learn, implement, and use different Data Structures

Learn, implement and use different Algorithms

Become a better developer by mastering computer science fundamentals

Learn everything you need to ace difficult coding interviews

Cracking the Coding Interview with 100+ questions with explanations

Time and Space Complexity of Data Structures and Algorithms

Recursion

Big O

Dynamic Programming

Divide and Conquer Algorithms

Graph Algorithms

Greedy Algorithms

Requirements

Basic Java Programming skills

Description

Welcome to the Java Data Structures and Algorithms Masterclass, the most modern, and the most complete Data Structures and Algorithms in Java course on the internet.

At 44+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Java. You will see 100+ Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft and how-to face Interviews with comprehensive visual explanatory video materials which will bring you closer to landing the tech job of your dreams!

Learning Java is one of the fastest ways to improve your career prospects as it is one of the most in-demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high-level programming languages.

We’ll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.

After finishing this course, you will be able to:

Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges.

Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications

Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets

Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.

Why this course is so special and different from any other resource available online?

This course will take you from the very beginning to very complex and advanced topics in understanding Data Structures and Algorithms!

You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.

You will also see Interview Questions done at the top technology companies such as Apple, Amazon, Google, and Microsoft.

I cover everything you need to know about the technical interview process!

So whether you are interested in learning the top programming language in the world in-depth and interested in learning the fundamental Algorithms, Data Structures, and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!

And this is what you get by signing up today:

Lifetime access to 44+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want

Friendly and fast support in the course Q&A whenever you have questions or get stuck

FULL money-back guarantee for 30 days!

This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms, increase your earning potential, or just want a job with more freedom, this is the right course for you!

The topics that are covered in this course.

Section 1 – Introduction

What are Data Structures?

What is an algorithm?

Why are Data Structures And Algorithms important?

Types of Data Structures

Types of Algorithms

Section 2 – Recursion

What is Recursion?

Why do we need recursion?

How does Recursion work?

Recursive vs Iterative Solutions

When to use/avoid Recursion?

How to write Recursion in 3 steps?

How to find Fibonacci numbers using Recursion?

Section 3 – Cracking Recursion Interview Questions

Question 1 – Sum of Digits

Question 2 – Power

Question 3 – Greatest Common Divisor

Question 4 – Decimal To Binary

Section 4 – Bonus CHALLENGING Recursion Problems (Exercises)

power

factorial

products array

recursiveRange

fib

reverse

palindrome

some recursive

flatten

capitalize first

nestedEvenSum

capitalize words

stringifyNumbers

collects things

Section 5 – Big O Notation

Analogy and Time Complexity

Big O, Big Theta, and Big Omega

Time complexity examples

Space Complexity

Drop the Constants and the nondominant terms

Add vs Multiply

How to measure the codes using Big O?

How to find time complexity for Recursive calls?

How to measure Recursive Algorithms that make multiple calls?

Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Product and Sum

Print Pairs

Print Unordered Pairs

Print Unordered Pairs 2 Arrays

Print Unordered Pairs 2 Arrays 100000 Units

Reverse

O(N)  Equivalents

Factorial Complexity

Fibonacci Complexity

Powers of 2

Section 7 – Arrays

What is an Array?

Types of Array

Arrays in Memory

Create an Array

Insertion Operation

Traversal Operation

Accessing an element of Array

Searching for an element in Array

Deleting an element from Array

Time and Space complexity of One Dimensional Array

One Dimensional Array Practice

Create Two Dimensional Array

Insertion – Two Dimensional Array

Accessing an element of Two Dimensional Array

Traversal – Two Dimensional Array

Searching for an element in Two Dimensional Array

Deletion – Two Dimensional Array

Time and Space complexity of Two Dimensional Array

When to use/avoid array

Section 8 – Cracking Array Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Question 1 – Missing Number

Question 2 – Pairs

Question 3 – Finding a number in an Array

Question 4 – Max product of two int

Question 5 – Is Unique

Question 6 – Permutation

Question 7 – Rotate Matrix

Section 9 – CHALLENGING Array Problems (Exercises)

Middle Function

2D Lists

Best Score

Missing Number

Duplicate Number

Pairs

Section 10 – Linked List

What is a Linked List?

Linked List vs Arrays

Types of Linked List

Linked List in the Memory

Creation of Singly Linked List

Insertion in Singly Linked List in Memory

Insertion in Singly Linked List Algorithm

Insertion Method in Singly Linked List

Traversal of Singly Linked List

Search for a value in Single Linked List

Deletion of a node from Singly Linked List

Deletion Method in Singly Linked List

Deletion of entire Singly Linked List

Time and Space Complexity of Singly Linked List

Section 11 – Circular Singly Linked List

Creation of Circular Singly Linked List

Insertion in Circular Singly Linked List

Insertion Algorithm in Circular Singly Linked List

Insertion method in Circular Singly Linked List

Traversal of Circular Singly Linked List

Searching a node in Circular Singly Linked List

Deletion of a node from Circular Singly Linked List

Deletion Algorithm in Circular Singly Linked List

A method in Circular Singly Linked List

Deletion of entire Circular Singly Linked List

Time and Space Complexity of Circular Singly Linked List

Section 12 – Doubly Linked List

Creation of Doubly Linked List

Insertion in Doubly Linked List

Insertion Algorithm in Doubly Linked List

Insertion Method in Doubly Linked List

Traversal of Doubly Linked List

Reverse Traversal of Doubly Linked List

Searching for a node in Doubly Linked List

Deletion of a node in Doubly Linked List

Deletion Algorithm in Doubly Linked List

Deletion Method in Doubly Linked List

Deletion of entire Doubly Linked List

Time and Space Complexity of Doubly Linked List

Section 13 – Circular Doubly Linked List

Creation of Circular Doubly Linked List

Insertion in Circular Doubly Linked List

Insertion Algorithm in Circular Doubly Linked List

Insertion Method in Circular Doubly Linked List

Traversal of Circular Doubly Linked List

Reverse Traversal of Circular Doubly Linked List

Search for a node in Circular Doubly Linked List

Delete a node from Circular Doubly Linked List

Deletion Algorithm in Circular Doubly Linked List

Deletion Method in Circular Doubly Linked List

Entire Circular Doubly Linked List

Time and Space Complexity of Circular Doubly Linked List

Time Complexity of Linked List vs Arrays

Section 14 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple, and Microsoft)

Linked List Class

Question 1 – Remove Dups

Question 2 – Return Kth to Last

Question 3 – Partition

Question 4 – Sum Linked Lists

Question 5 – Intersection

Section 15 – Stack

What is a Stack?

What and Why of Stack?

Stack Operations

Stack using Array vs Linked List

Stack Operations using Array (Create, isEmpty, isFull)

Stack Operations using Array (Push, Pop, Peek, Delete)

Time and Space Complexity of Stack using Array

Stack Operations using Linked List

Stack methods – Push, Pop, Peek, Delete, and isEmpty using Linked List

Time and Space Complexity of Stack using Linked List

When to Use/Avoid Stack

Stack Quiz

Section 16 – Queue

What is a Queue?

Linear Queue Operations using Array

Create, isFull, isEmpty, and enQueue methods using Linear Queue Array

Dequeue, Peek and Delete Methods using Linear Queue Array

Time and Space Complexity of Linear Queue using Array

Why Circular Queue?

Circular Queue Operations using Array

Create, Enqueue, isFull and isEmpty Methods in Circular Queue using Array

Dequeue, Peek and Delete Methods in Circular Queue using Array

Time and Space Complexity of Circular Queue using Array

Queue Operations using Linked List

Create, Enqueue and isEmpty Methods in Queue using Linked List

Dequeue, Peek and Delete Methods in Queue using Linked List

Time and Space Complexity of Queue using Linked List

Array vs Linked List Implementation

When to Use/Avoid Queue?

Section 17 – Cracking Stack and Queue Interview Questions (Amazon, Facebook, Apple, Microsoft)

Question 1 – Three in One

Question 2 – Stack Minimum

Question 3 – Stack of Plates

Question 4 – Queue via Stacks

Question 5 – Animal Shelter

Section 18 – Tree / Binary Tree

What is a Tree?

Why Tree?

Tree Terminology

How to create a basic tree in Java?

Binary Tree

Types of Binary Tree

Binary Tree Representation

Create Binary Tree (Linked List)

PreOrder Traversal Binary Tree (Linked List)

InOrder Traversal Binary Tree (Linked List)

PostOrder Traversal Binary Tree (Linked List)

LevelOrder Traversal Binary Tree (Linked List)

Searching for a node in Binary Tree (Linked List)

Inserting a node in Binary Tree (Linked List)

Delete a node from Binary Tree (Linked List)

Delete entire Binary Tree (Linked List)

Create Binary Tree (Array)

Insert a value Binary Tree (Array)

Search for a node in Binary Tree (Array)

PreOrder Traversal Binary Tree (Array)

InOrder Traversal Binary Tree (Array)

PostOrder Traversal Binary Tree (Array)

Level Order Traversal Binary Tree (Array)

Delete a node from Binary Tree (Array)

Entire Binary Tree (Array)

Linked List vs Python List Binary Tree

Section 19 – Binary Search Tree

What is a Binary Search Tree? Why do we need it?

Create a Binary Search Tree

Insert a node to BST

Traverse BST

Search in BST

Delete a node from BST

Delete entire BST

Time and Space complexity of BST

Section 20 – AVL Tree

What is an AVL Tree?

Why AVL Tree?

Common Operations on AVL Trees

Insert a node in AVL (Left Left Condition)

Insert a node in AVL (Left-Right Condition)

Insert a node in AVL (Right Right Condition)

Insert a node in AVL (Right Left Condition)

Insert a node in AVL (all together)

Insert a node in AVL (method)

Delete a node from AVL (LL, LR, RR, RL)

Delete a node from AVL (all together)

Delete a node from AVL (method)

Delete entire AVL

Time and Space complexity of AVL Tree

Section 21 – Binary Heap

What is Binary Heap? Why do we need it?

Common operations (Creation, Peek, sizeofheap) on Binary Heap

Insert a node in Binary Heap

Extract a node from Binary Heap

Delete entire Binary Heap

Time and space complexity of Binary Heap

Section 22 – Trie

What is a Trie? Why do we need it?

Common Operations on Trie (Creation)

Insert a string in Trie

Search for a string in Trie

Delete a string from Trie

Practical use of Trie

Section 23 – Hashing

What is Hashing? Why do we need it?

Hashing Terminology

Hash Functions

Types of Collision Resolution Techniques

Hash Table is Full

Pros and Cons of Resolution Techniques

Practical Use of Hashing

Hashing vs Other Data structures

Section 24 – Sort Algorithms

What is Sorting?

Types of Sorting

Sorting Terminologies

Bubble Sort

Selection Sort

Insertion Sort

Bucket Sort

Merge Sort

Quick Sort

Heap Sort

Comparison of Sorting Algorithms

Section 25 – Searching Algorithms

Introduction to Searching Algorithms

Linear Search

Linear Search in Python

Binary Search

Binary Search in Python

Time Complexity of Binary Search

Section 26 – Graph Algorithms

What is a Graph? Why Graph?

Graph Terminology

Types of Graph

Graph Representation

The graph in Java using Adjacency Matrix

The graph in Java using Adjacency List

Section 27 – Graph Traversal

Breadth-First Search Algorithm (BFS)

Breadth-First Search Algorithm (BFS) in Java – Adjacency Matrix

Breadth-First Search Algorithm (BFS) in Java – Adjacency List

Time Complexity of Breadth-First Search (BFS) Algorithm

Depth First Search (DFS) Algorithm

Depth First Search (DFS) Algorithm in Java – Adjacency List

Depth First Search (DFS) Algorithm in Java – Adjacency Matrix

Time Complexity of Depth First Search (DFS) Algorithm

BFS Traversal vs DFS Traversal

Section 28 – Topological Sort

What is Topological Sort?

Topological Sort Algorithm

Topological Sort using Adjacency List

Topological Sort using Adjacency Matrix

Time and Space Complexity of Topological Sort

Section 29 – Single Source Shortest Path Problem

what is Single Source Shortest Path Problem?

Breadth-First Search (BFS) for Single Source Shortest Path Problem (SSSPP)

BFS for SSSPP in Java using Adjacency List

BFS for SSSPP in Java using Adjacency Matrix

Time and Space Complexity of BFS for SSSPP

Why does BFS not work with Weighted Graph?

Why does DFS not work for SSSP?

Section 30 – Dijkstra’s Algorithm

Dijkstra’s Algorithm for SSSPP

Dijkstra’s Algorithm in Java – 1

Dijkstra’s Algorithm in Java – 2

Dijkstra’s Algorithm with Negative Cycle

Section 31 – Bellman-Ford Algorithm

Bellman-Ford Algorithm

Bellman-Ford Algorithm with negative cycle

Why does Bellman-Ford run V-1 times?

Bellman-Ford in Python

BFS vs Dijkstra vs Bellman Ford

Section 32 – All Pairs Shortest Path Problem

All pairs shortest path problem

Dry run for All pair shortest path

Section 33 – Floyd Warshall

Floyd Warshall Algorithm

Why Floyd Warshall?

Floyd Warshall with negative cycle,

Floyd Warshall in Java,

BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall,

Section 34 – Minimum Spanning Tree

Minimum Spanning Tree,

Disjoint Set,

Disjoint Set in Java,

Section 35 – Kruskal’s and Prim’s Algorithms

Kruskal Algorithm,

Kruskal Algorithm in Python,

Prim’s Algorithm,

Prim’s Algorithm in Python,

Prim’s vs Kruskal

Section 36 – Cracking Graph and Tree Interview Questions (Amazon, Facebook, Apple, Microsoft)

Section 37 – Greedy Algorithms

What is a Greedy Algorithm?

Well known Greedy Algorithms

Activity Selection Problem

Activity Selection Problem in Python

Coin Change Problem

Coin Change Problem in Python

Fractional Knapsack Problem

Fractional Knapsack Problem in Python

Section 38 – Divide and Conquer Algorithms

What is a Divide and Conquer Algorithm?

Common Divide and Conquer algorithms

How to solve the Fibonacci series using the Divide and Conquer approach?

Number Factor

Number Factor in Java

House Robber

House Robber Problem in Java

Convert one string to another

Convert One String to another in Java

Zero One Knapsack problem

Zero One Knapsack problem in Java

Longest Common Sequence Problem

Longest Common Subsequence in Java

Longest Palindromic Subsequence Problem

Longest Palindromic Subsequence in Java

Minimum cost to reach the Last cell problem

Minimum Cost to reach the Last Cell in 2D array using Java

Number of Ways to reach the Last Cell with given Cost

Number of Ways to reach the Last Cell with given Cost in Java

Section 39 – Dynamic Programming

What is Dynamic Programming? (Overlapping property)

Where does the name of DC come from?

Top-Down with Memoization

Bottom-Up with Tabulation

Top-Down vs Bottom Up

Is Merge Sort Dynamic Programming?

Number Factor Problem using Dynamic Programming

Number Factor: Top-Down and Bottom-Up

House Robber Problem using Dynamic Programming

House Robber: Top-Down and Bottom-Up

Convert one string to another using Dynamic Programming

Convert String using Bottom Up

Zero One Knapsack using Dynamic Programming

Zero One Knapsack – Top Down

Zero One Knapsack – Bottom Up

Section 40 – CHALLENGING Dynamic Programming Problems

Longest repeated Subsequence Length problem

Longest Common Subsequence Length problem

Longest Common Subsequence  problem

Diff Utility

Shortest Common Subsequence  problem

Length of Longest Palindromic Subsequence

Subset Sum Problem

Egg Dropping Puzzle

Maximum Length Chain of Pairs

Section 41 – A Recipe for Problem Solving

Introduction

Step 1 – Understand the problem

Step 2 – Examples

Step 3 – Break it Down

Step 4 – Solve or Simplify

Step 5 – Look Back and Refactor

Section 41 – Wild West

Download

To download more paid courses for free visit course catalog where  1000+ paid courses available for free. You can get the full course into your device with just a single click. Follow the link above to download this course for free. 

[generaldreampatrol]

SNIT Training Institute CCNA,MCSE,IT Networking,Azure.

Windows (MCSE):

SNIT Windows Administration COURSE DESCRIPTION

Welcome to the Windows Administration! In this course, you will learn the updated technologies that keep the world as you know today connected and running with the network. We train the updated syllabus. This Windows MCSE course is for 30 Days and will train the entire needed subject to be successful. The trained Students shall acquire the knowledge and practice and execute the lab in this course to make it transferable to the real world use, as a Windows Administration. Students also shall be supported for placements from SNIT after completion of the course 

Students Requirements for Windows Administration MCSE Course

·        This course is for you if anybody is new to the Windows Administration!

·        The students all need is the basic knowledge of how to operate a computer and browse the Internet; that’s it!

·        Basic understanding of computers networks.

·        Interest to learn Digital Marketing.

·        Computer / Laptop for practicing

You shall also get trained on:

·        Interview Questions & Answers 

·        Resume writing  

·        Mock Interviews

Who are the target audience?

·         Anyone wants to learn Windows MCSE and start a career in Windows Administration.

·         Students who want to get certified and start a career in the Windows Administration field.

·         Desktop Engineer and system administrator who are interested in careers such as network engineers, network professionals, system administrators, or solutions architects.

·         This course shall help you to start your career in these Computer networking fields.

Networking CCNA:

Welcome to the Cisco CCNA Networking Course! In this course, you will learn the updated technologies that keep the world as you know today connected and running with the network. We train the topics of the new Course CCNA 200-301 exams. With us CCNA course is for 30 Days of duration and will train the entire needed subject to be successful in passing the CCNA 200-301 new Exam, The trained Students shall acquire the knowledge and practice and execute the lab in this course to make it transferable to the real world use, as a Cisco Network IT Professional. You can Chose for attending online classes or Offline Class Room Training at SNIT Training Institute. Students also shall be supported for placements from SNIT Training institute after successfully   completion of the Cisco CCNA course Requirements for Cisco CCNA Course for students

This course is for you if anybody is new to the networking!

1.     The students all need is the basic knowledge of how to operate a computer and browse the Internet; that’s it!

2.     Basic understanding of computers networks.

3.     Interest to learn Digital Marketing

4.     Computer / Laptop for practicing

You shall also get trained on:

·        Interview Questions & Answers 

·        Resume writing  

·        Mock Interviews

Who are the target audience?

·        Anyone wants to learn networking and start a career in IT Networking can be from any education background of Technical and Non-technical.

·        Who want to get certified from Cisco the CCNA 200-301 exam and start a career in the IT networking field.

·        IT Technical Support engineers who are interested in careers such as network engineers, network professionals, system administrators, or Network solutions architects.

·        This course shall help you to start your career in these networking fields.

Digital Marketing:

Digital Marketing COURSE DESCRIPTION

The course is highly interactive with projects & actionable lectures built into every section. Learn bit by bit how to market a business online from the bottom up to across all the major Digital marketing channels. We will Cover Vital online marketing topics and comprising 50+ hours of clear lectures & practical activities with placement Support after completing the course:

Market Research

·        wordpress

·        Email Marketing

·        Copywriting

·        SEO (Search Engine Optimisation)

·        YouTube Marketing

·        Social Media Marketing 

·        Linkedin Marketing

·        App Marketing

·        Google Adwords

·        Facebook Ads

·        Google Analytics

By the completion of the course, you get confident to implement marketing strategies across the major online marketing channels.

You shall also get trained on:

·        Interview Questions & Answers 

·        Resume writing  

·        Mock Interviews

Students Requirements

·        Interest to learn Digital Marketing

·        Computer / Laptop for practicing

What is the target audience?

·        Digital marketing can learn by  anyone  interested to be master Digital Marketing

·        Working Professionals who are looking to change their career in to technical 

·        start-up companies who want to promote their brand 

·        Freelancers who want to work with multiple projects

·        Marketing Managers

·        Entrepreneurs

·        People who are looking to get Internatinaly Certified from google 

Students Benefits from SNIT 

Training by Industry Experts on Real time scenarios with live Hands on Internship Placement Support to start the Career in Digital Marketing filed. You can Chose for attending online classes or Offline Class Room Training at SNIT Training Institute.

The steps to get placed 

1. Complete the Course 

2. Resume preparation 

3. Mock Interviews 

4. Attend Interviews 

5. Get Selection & Appointment letter

 Students also shall be supported for placements from SNIT Training institute after successfully completion of the Digital marketing course.

AZURE:

Microsoft Azure Administrator-104.

Want to Become a part of the Microsoft Cloud revolution with our Microsoft Azure Administrator Certified Associate training course. in Hyderabad with the latest version of   Exam AZ-104 Microsoft Azure Administrator, this course is best for professionals willing to be successful as an Azure Administrator.

What Is Microsoft Azure Administrator Certification?

Microsoft Azure certification to implement, manage and monitor identity, Az-resources, storage, compute, and virtual networks in a cloud environment AZ-104 Certification is relevant. The Administrator will provide, size, monitor, and adjust resources as appropriate.

Why Azure?

It presents your technical skills like storage, virtual networking, compute, security, and other Cloud operations. Highly paid info-tech certification in the world. Global recognition for your knowledge is provided with it and also skills and experience. The organization view for those who know Oracle Cloud, AWS, Azure, etc. To get more opportunities to start a career in the cloud Administration. Who is the target audience to learn? Those who want to learn the cloud Administrator certification. Those who want to write the Microsoft exam AZ-104 Senior technical people with exposure to Cloud Administration. Operations team who want to learn more about implement on cloud solutions.

Requirements:

Subscription to Microsoft Account.

·        Basic knowledge of IT architecture.

·        Basics of Cloud Computing.

·        Basic Knowledge of the network and server Administration shall make for see understanding 

·        Have to Understand resilience and disaster recovery, backup and restore operations.

·        Have to Understand network configuration, also TCP/IP, Domain Name System (DNS), virtual private networks (VPNs), firewalls, encryption technologies, and Virtual Machines 

You shall also get trained on:

·        Interview Questions & Answers

·        Resume writing

·        Mock Interviews

After completion of the course, students get the support of Vacancies to attend the interviews to start their career in IT support.

Amazon Web Services (AWS):

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. In simple words AWS allows you to do the following things- Running web and application servers in the cloud to host dynamic websites. Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security and enterprise applications. These services help organizations move faster, lower IT costs, and scale. If there any Doubts.

Please Contact: 9640005999

Mail:

www.snitsolution.in

[metaverseproductions]

Chapter 1.5 (Bill Gates and the road to Implanted Humans)

Down the Rabbit Hole we go. 

Back on June 1st of 2015, the reputable IEEE published an article titled “Medical Microbots Take a Fantastic Voyage Into Reality”. This was the year after I had read about the Max Planck “micro scallops” and wondered what it would take to get critical mass implanted with these micro robots (and future nano bots). 

In referencing the article’s approach of having a Doctor implant hundreds or  thousands of “micro grippers” (developed by Johns Hopkins) into the human body to perform a biopsy, the natural progression of questioning its capabilities led me to ask if they can also be used to implant micro or nano chips into the body”?

What would be the purpose of this on the grand scale of humanity? Beyond medical applications of implanted technology (such as heart monitors) that can already be hacked, what if the ultimate goal was behavior modification of the masses? We know that this is possible based on previous lab tests on mice, but could it work on humans? 

I often wonder if US Patent #US6754472B1 filed by Microsoft was designed for more than just systems integration between wearable and implantable IoT technologies. (Source: https://patents.google.com/patent/US6754472B1/en)

"...a body of a living creature for coupling the first device to the second device and for conducting the electrical signal from the first device to the second device and the initialization information from the second device to the first device, wherein the first and second devices establish a master and a slave relationship there between."  Makes one think of the #Matrix and  #HumanBatteries 

On April 10th 2020, China’s CCTV went live with Bill Gates and made the following comment:

“You are being attacked in the U.S., they say the #CoronaVirus originated from the process of vaccine development under your supervision. What is your take on this Bill Gates conspiracy”?  

His response begins with: “I say it’s ironic, if you take somebody that is doing their best to get the world ready...”

I will tell you what is TRULY IRONIC! How about that “Event 201″ that took place on October 2019, TWO MONTHS before the COVID19 Pandemic began and was hosted  by the Bill & Melinda Gates Foundation.  Source: https://www.centerforhealthsecurity.org/event201/about

About the Event 201 exercise

Event 201 was a 3.5-hour pandemic tabletop exercise that simulated a series of dramatic, scenario-based facilitated discussions, confronting difficult, true-to-life dilemmas associated with response to a hypothetical, but scientifically plausible, pandemic. 15 global business, government, and public health leaders were players in the simulation exercise that highlighted unresolved real-world policy and economic issues that could be solved with sufficient political will, financial investment, and attention now and in the future.

The exercise consisted of pre-recorded news broadcasts, live “staff” briefings, and moderated discussions on specific topics. These issues were carefully designed in a compelling narrative that educated the participants and the audience.

The Johns Hopkins Center for Health Security, World Economic Forum, and Bill & Melinda Gates Foundation jointly propose these recommendations.

Purpose

In recent years, the world has seen a growing number of epidemic events, amounting to approximately 200 events annually. These events are increasing, and they are disruptive to health, economies, and society. Managing these events already strains global capacity, even absent a pandemic threat. Experts agree that it is only a matter of time before one of these epidemics becomes global—a pandemic with potentially catastrophic consequences. A severe pandemic, which becomes “Event 201,” would require reliable cooperation among several industries, national governments, and key international institutions.

Recent economic studies show that pandemics will be the cause of an average annual economic loss of 0.7% of global GDP—or $570 billion. The players’ responses to the scenario illuminated the need for cooperation among industry, national governments, key international institutions, and civil society, to avoid the catastrophic consequences that could arise from a large-scale pandemic.

Similar to the Center’s 3 previous exercises—Clade X, Dark Winter, and Atlantic Storm—Event 201 aimed to educate senior leaders at the highest level of US and international governments and leaders in global industries.

It is also a tool to inform members of the policy and preparedness communities and the general public. This is distinct from many other forms of simulation exercises that test protocols or technical policies of a specific organization. Exercises similar to Event 201 are a particularly effective way to help policymakers gain a fuller understanding of the urgent challenges they could face in a dynamic, real-world crisis.

Recommendations

The next severe pandemic will not only cause great illness and loss of life but could also trigger major cascading economic and societal consequences that could contribute greatly to global impact and suffering. The Event 201 pandemic exercise, conducted on October 18, 2019, vividly demonstrated a number of these important gaps in pandemic preparedness as well as some of the elements of the solutions between the public and private sectors that will be needed to fill them. The Johns Hopkins Center for Health Security, World Economic Forum, and Bill & Melinda Gates Foundation jointly propose these recommendations.

When/where

Friday, October 18, 2019 8:45 a.m. – 12:30 p.m. The Pierre hotel New York, NY

Audience

An invitation-only audience of nearly 130 people attended the exercises, and a livestream of the event was available to everyone. Video coverage is available here.

Exercise team

Eric Toner, MD, is the exercise team lead from the Johns Hopkins Center for Health Security. Crystal Watson, DrPH, MPH and Tara Kirk Sell, PhD, MA are co-leads from the Johns Hopkins Center for Health Security. Ryan Morhard, JD, is the exercise lead from the World Economic Forum, and Jeffrey French is the exercise lead for the Bill and Melinda Gates Foundation.

Exercise team members are Tom Inglesby, MD; Anita Cicero, JD; Randy Larsen, USAF (retired); Caitlin Rivers, PhD, MPH; Diane Meyer, RN, MPH; Matthew Shearer, MPH; Matthew Watson; Richard Bruns, PhD; Jackie Fox; Andrea Lapp; Margaret Miller; Carol Miller; and Julia Cizek.

Event 201 was supported by funding from the Open Philanthropy Project.

###

Then five months later (March 2020), in the midst of the CoronaVirus epidemic being declared a global pandemic, this news breaks from LinkedIn (Source: https://www.cnbc.com/2020/03/13/bill-gates-leaves-microsoft-board.html):

“Microsoft announced on Friday that Bill Gates is leaving the board, effective Friday. “I have made the decision to step down from both of the public boards on which I serve – Microsoft and Berkshire Hathaway – to dedicate more time to philanthropic priorities including global health and development, education, and my increasing engagement in tackling climate change”.

Basically, the “pandemic scenario” of Event 201 became a reality. Bill Gates leaves Microsoft to focus full time on his Foundation, which coincidentially had been funding coronavirus research and has now been revealed to be the second largest funder to the World Health Organization (WHO), coincidentally, (yet again) in charge of coming up with the vaccine for COVID19. Who profits from the pandemic under this scenario? Bingo! Just look at the history of Microsoft and how Bill Gates became a billionaire. It was not by playing nice and more like a chapter from of the Art of War.

Yet the disbelief doesn't stop there. How about that #ID2020 and what Bill Gates calls for in a "national tracking system similar to South Korea, saying that "in Seattle, the [University of Washington] is providing thousands of tests per day but no one is connected to a national tracking system" and that "Whenever there is a positive test it should be seen to understand where the disease is and whether we need to strengthen the social distancing." (Source: https://www.forbes.com/sites/mattperez/2020/03/18/bill-gates-calls-for-national-tracking-system-for-coronavirus-during-reddit-ama/#36c92b5e6a72)

Could this ID2020 be implanted? Would that benefit Microsoft’s U.S. patent #US6754472B1?

The United Nations seems to think there are significant risks associated with a digital identity roll-out, such as: “Digital identity carries significant risk if not thoughtfully designed and carefully implemented. We do not underestimate the risks of data misuse and abuse, particularly when digital identity systems are designed as large, centralized databases”. (Source: https://id2020.org/manifesto)

All in all, I would say that the sense of irony expressed by Bill Gates on the #CCTV interview, is a two-way street as #WeThePeople of the United States have more time to research in self isolation and petition the White House to investigate Bill Gates.

Who gets to play God in this time? Event 201 was a game of playing God to develop depopulation strategies for a Human Disruption. While the intent might have found a root cause in the question of how to survive Climate Change, why is the survival and evolution of the human species primarily in the hands of Bill Gates?

If human overpopulation is such an issue, why isn’t Euthanasia legal for humans everywhere? Think about it, how many people suffering from old age, disease, poverty, and extreme suffering would opt for dying quickly and peacefully. Why choose for others and take away someone’s power over their own body and existence? 

My advice: find out what magnets are needed to remove grippers, buy them and start developing methods for removing micro and nano bots from the body.  Also help to promote active voluntuary euthanasia around the world before pushing for legislation to place technology into the bodies of millions of people against their will.

[mr-entj]

Are there any resources you can point me to in order to improve my consulting math? Management consulting is a route I want to take after university but the biggest thing standing in my way is the lack of math skills I have (I study Law and Political Science).

Combined with the following ask:

Mr. ENTJ, I’m extremely artistically inclined but somewhat incompetent in mathematics. Yet I’ll be studying Commerce at the most prestigious university in my country in the Fall of 2018 for undergrad. To what degree do I need mathematical knowledge to be successful in business and how can I improve my grasp on mathematical concepts? I lack interest in numbers and symbols so I’m wondering if there’s a more creative/artistic way of looking at it.

Hi Mr-entj. How much math did you have to learn to be good at business? I’m horrible at it but looking for ways to improve and quickly before I graduate.

It depends on what kind of business you’re looking to do but generally the math concepts in college are much more complex than anything you’ll use in the real world. Unless you’re an analyst for a think tank in Washington D.C. weaving complicated macroeconomic models, consulting/business math is straightforward. Don’t be intimidated.

Business Math Concepts

Master:

Division

Percentages

Decimals

Probability

Statistics

Conversions (units of measurement)

Algebra (especially finding unknowns)

Basic Finance (especially interest, compound interest, risk)

For mental math (important in the case interview), the expectation is you can do problems like these in your head:

25% of $10 million = ?

$32,000 x 4 = ?

$1 million increased by 50% = ?

15,000 decreased by 30% = ?

The majority of business math will come in the form of word problems because the real world isn’t going to come up to you and ask: “Hey, my company is failing and I need to figure out what’s wrong, what’s 200x+3= 50,000? Solve for x, thanks.”

They’ll ask you questions like these instead:

“Hey, my company is failing and I need to figure out what’s wrong. Can you identify which department is underperforming the most, quantify by how much, and recommend solutions?”

“I feel like we’ve increased our financial performance this year, can you show me which specialization brings in the most revenue with the lowest overhead?”

“Our community clinic needs to save money to stay open, can you find a way to identify the least utilized services and the highest utilized services? Can you measure the impact to our patients if we change any of these services?”

“Hey, we put in that solution a month ago and we want to know how well it’s working. Can you figure out if we solved our problem and by how much?”

The key takeaway is you have to understand what’s going on, what message the data is telling you, and the cause and effect of your actions. Questions that might come up include:

What the hell is going on here?*

How are we measuring success? Is it making more money? Is it losing less money? Is it higher output? Is it better quality scores? Is it fewer errors? What’s the metric for success?

How do I know we’re successful? How do we quantify and measure it?

If I want to increase variable A, what do I need to change/move/increase/decrease/close/open to make it happen?

If I increase variable A, what impact (if any) will it have on variable B?

The data says that C has decreased, how much impact did D or E have on that change (if at all)?

*critical question to answer in any business environment.

Business Math Tools

Learn:

Data visualization. All data and insights gleaned from calculations need to be translated into a data visual (graph). People will run for the hills if you hit them with a giant wall of text summarizing week to week revenue reports; that’s not a stimulating read so use graphs. Learn histograms, line charts, pie charts, waterfall charts, etc. Know how to read them, how to use them, and when to use them.

Microsoft Excel like the back of your hand. This program will be used to run numbers and process data. Learn VLOOKUPs, pivot tables, shortcuts, and all the goodies.

Tableau is a powerful data visualization software that’s very popular. It’s used to produce dynamic charts and graphs that automatically update based on fresh data.

SQL if you’re a glutton for punishment. SQL is used to query for data, knowing SQL makes you infinitely more attractive in the job market.

Resources

Math: Consulting Math, Math 2, Math 3, Math 4, Business Math concepts, GMAT books are also useful

Graphs: 44 Types of Graphs and How to Use Them, Working with charts, graphs, and tables, Data Visualization 101, Types of Graphs

Excel: Excel Formulas, Formulas 2, Formulas 3, Excel Shortcuts, Shortcuts 2

Tableau: Tableau 101, Tableau Community Forums, Hot Keys & Keyboard Shortcuts

SQL: SQL Tutorial, SQL Tutorial 2, 18+ Best Online Resources for Learning SQL and Database Concepts (2018 revision)