#How To Become A Data Scientist After 12th

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To become a data scientist after the 12th grade, pursue a bachelor's degree in computer science, mathematics, or a related field. Focus on acquiring skills in programming (Python, R), statistics, and machine learning. Engage in online courses and certifications for additional expertise. Participate in internships and projects to gain practical experience.

[vlruso]

How to Become a Data Scientist After the 12th Standard?

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Everything You Should Know Before Applying for a BSc in Computer Science

A BSc in Computer Science is one of the most sought-after undergraduate programs in today’s tech-driven world. Whether your goal is to become a software engineer, data scientist, or cybersecurity analyst, this degree can provide the foundation you need. If you are preparing to apply, here is a comprehensive guide to help you navigate the admission process and make informed decisions.

Why a BSc in Computer Science Matters

A BSc in Computer Science is more than just coding. It covers:

Core programming languages like Java, C++, and Python

Understanding of data structures, algorithms, and software design

Database systems and computer networks

Topics in operating systems and computer architecture

Foundations in mathematics, statistics, and logic

The course equips you with problem-solving skills, computational thinking, and analytical ability. These are needed in nearly every industry—from finance and healthcare to education and entertainment.

What to Check Before You Apply

Entry Requirements

Most colleges ask for a 12th-grade qualification with a strong background in mathematics and science. Marks of 50 to 60 percent, along with passing English, are commonly accepted. Some institutes may have entrance tests, while others go by merit list.

Entrance Exams

If your college requires an entrance exam, you should prepare for:

Questions on mathematics and basic logic

Short programming problems or pseudocode

Analytical reasoning and general English

Practice previous year papers and time-bound quizzes. Also, build your conceptual clarity by revising algebra, calculus, probability, and logical reasoning.

Application Timeline

Keep track of deadlines. Most applications open between December and March. Entrance exams are typically held in February or March. Merit lists or admission offers may come by April or May.

Supporting Documents

You usually need:

School leaving certificate or mark sheet of the 12th exam

Proof of identity and residency

Passport-size photographs

Entrance exam scorecard (if applicable)

Letters of recommendation or statement of purpose (varies by college)

Application Fees

Most colleges charge application fees ranging from INR 500 to INR 2,000. Make sure to pay these on time through the correct channels.

Choosing Among Colleges in Pune

If you are planning to study in Pune, consider these factors:

Curriculum and Syllabus

Choose colleges that offer courses in programming, database management, machine learning, web development, and cybersecurity. Exposure to project-based learning and open-source contributions adds real value.

Faculty Expertise

Look for lecturers and professors with experience in software development, research, or industry projects. Their mentoring can help you understand not just theory but its practical applications in real-world scenarios.

Infrastructure and Labs

Ensure the college has modern computer labs, licensed software, cloud access, and hardware systems for networking and database practice. A supportive infrastructure enhances your learning experience.

Internship and Industry Ties

Real-world exposure is essential. Look for institutes with industry partnerships that offer internships, placement support, tech fests, coding workshops, hackathons, and career guidance.

Placement Record

Find out about the average package and companies that visit the campus. Reliable placement statistics are an indicator of how well alumni are performing in the industry.

Spotting a Good Fit: Case of DES Pune University

Among the top colleges in Pune, DES Pune University is known for its BSc Computer Science program. Its curriculum covers modern technology topics such as data structures, object-oriented programming, database systems, artificial intelligence, and web development.

The program focuses on building strong mathematical foundations along with practical programming skills. Students have access to high-end computer labs, licensed software, and cloud platforms. The faculty includes professionals with industry and academic experience.

DES Pune University fosters real-world exposure via workshops, guest lectures, hackathons, and internships with local software companies. The career cell supports students with placement preparation, resume building, and interview coaching.

Steps to Apply for BSc Computer Science

Research colleges based on your interests and academic profile

Check eligibility criteria, including courses, mark requirements, and entrance tests

Register early on university portals to stay ahead

Prepare for entrance exams by revising math, logic, and programming fundamentals

Submit your application with complete documents before the deadlines

Follow-up on admit cards, test dates, interviews, or counseling sessions

Confirm your admission once selected, paying required fees to secure your seat

Why Attention to Detail Matters

Your admission depends on both academic preparation and planning. A focused study schedule, organized documentation, and awareness of dates give you confidence and reduce stress. These steps also demonstrate your commitment and discipline to future professors and employers.

Final Thoughts

Applying for a BSc in Computer Science involves more than just grades. It is about finding a program that balances theory and practice, ensuring you have the infrastructure, mentorship, and opportunities to grow. Institutions like DES Pune University deliver on all these fronts by offering a thoughtfully structured curriculum, hands-on experience, and strong support systems. With proper planning and dedication, you can set yourself up for a successful career in tech.

[eduleem]

Best AI Course in Bangalore | Eduleem

Are you interested in Artificial Intelligence (AI)? Do you want to build a future in the world of AI and machine learning? If yes, then this blog is for you. Today, we will talk about the best AI course in Bangalore, offered by Eduleem a trusted name for career-focused learning.

Why Choose Eduleem for AI Course in Bangalore?

There are many institutes offering AI training, but Eduleem is different. It is not just a classroom course. It is a complete learning experience designed to prepare you for real jobs in the AI industry. Whether you are a beginner, a student, or someone already working in the IT field, this course is perfect for you.

Here’s why Eduleem is the best choice:

1. Hands-on Practical Training

At Eduleem, you will not just read about AI, you will actually work on it. The course includes live projects, lab sessions, and real-time case studies. You will learn by doing, which is the best way to understand AI deeply.

2. 100% Job Assistance

Eduleem offers 100% guaranteed job support. That means the team will help you with your resume, guide you for interviews, and connect you with job opportunities. Their goal is to make sure you get hired.

3. Expert Trainers

The trainers at Eduleem are not just teachers, they are industry professionals with years of experience. They know how to teach AI in a simple way. They use real examples so that even complex topics become easy to understand.

4. Full AI Syllabus

This AI course covers all the important topics, such as:

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Python for AI

Data Science Basics

Each module is taught step-by-step, so you never feel lost.

5. Great for All Levels

Don’t worry if you are new to AI. The course is made for everyone from freshers to experienced IT professionals. You can join even if you are from a different background but want to switch to AI.

6. ISO & Government-Recognized Certification

After completing the course, you get a certification that is recognized by ISO, MSME, Skill India, and Startup India. This makes your resume stronger and helps you get better job offers.

7. Real Internship & Projects

Eduleem gives you the chance to work on real AI projects. You will get internship opportunities where you can apply what you have learned. These projects help build your portfolio and give you work experience.

8. Resume & Interview Support

As part of the course, Eduleem gives personal support for resume building and mock interviews. The trainers help you improve your communication and technical skills. This makes you job-ready and confident.

9. Learn Latest Tools & Technologies

During the AI course, you will learn tools like Python, TensorFlow, Keras, NumPy, and more. These tools are used in the industry, so your training will match real job requirements.

10. Become Job-Ready for AI Roles

After completing this course, you will be ready to apply for job roles like:

AI Engineer

Machine Learning Developer

Data Scientist

AI Analyst

Research Assistant in AI Labs

The goal of this course is not just to give you knowledge, but to prepare you for your first or next job in Artificial Intelligence.

Who Can Join This Course?

This AI course in Bangalore by Eduleem is perfect for:

Students after 12th or graduation

IT professionals who want to upskill

Freshers looking for jobs in AI

Career switchers from non-technical fields

Anyone interested in learning AI from scratch

No coding experience? No problem. The course starts with basics and goes up step-by-step.

Course Duration & Timings

The course is designed to be flexible. You can choose from weekend or weekday batches, depending on your schedule. The duration is around 5 to 6 months, including projects and internships.

You can also attend demo classes before joining to understand how it works.

Why Bangalore?

Bangalore is the tech hub of India. Most AI companies, startups, and MNCs are based here. If you learn AI in Bangalore, you get better job opportunities, more networking, and higher salaries. Eduleem’s center is located in a prime area, making it easy for students and working professionals to attend.

Final Thoughts

If you are serious about building a career in Artificial Intelligence, then Eduleem’s AI course in Bangalore is the best option. With expert training, hands-on projects, job support, and certification you get everything you need to start your AI journey.

Learning AI is the future. And the future starts with one step. Take that step with Eduleem today!

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Right path of a Career after 12th in Pune at Suryadatta Group of Institute

Choosing the right career path after 12th can feel overwhelming — I’ve been there with thousands of students in Pune, helping them navigate this pivotal stage of life. As a senior faculty member with decades of experience in higher education, I understand the hopes, confusion, and pressure that come with this transition. But trust me — you are not alone, and you have more choices than ever before.

In this guide, I will walk you through the options, myths, and emerging trends to help you make an informed decision about your career after Class 12. Whether you're a science, commerce, or arts student, there’s something valuable in this blog for you.

Why Choosing the Right Career Path Matters

At 17 or 18, it's normal to feel unsure about what’s next. However, your decisions today can influence not just your job but your happiness, lifestyle, and long-term fulfillment. According to a 2023 LinkedIn India survey, more than 35% of professionals regretted their first career choice, mostly due to lack of guidance and peer pressure.

This is where informed decision-making becomes powerful.

In Pune — a city blessed with top-tier educational institutions, industry exposure, and innovation — you have access to the perfect ecosystem to launch your career journey. But first, let’s explore what your options are

Career Options After 12th – Stream-Wise Breakdown

For Science Students:

1. Engineering (B.Tech/BE) One of the most common choices after PCM. Pune is home to some top engineering colleges and offers specializations ranging from computer science to artificial intelligence and mechanical engineering.

2. Medicine (MBBS, BDS, BAMS, BHMS) If you had Biology, the medical field opens up numerous doors. Apart from MBBS, students are also pursuing BAMS (Ayurveda) and BDS (Dental), all of which are well-respected in Pune’s healthcare sector.

3. Pure Sciences (B.Sc in Physics, Chemistry, Biology, etc.) For those interested in research, higher education, or becoming a scientist, a B.Sc followed by MSc or Ph.D. is a valuable path. Institutes like IISER Pune offer world-class programs.

4. Emerging Fields

Data Science

Robotics

Biotechnology

Environmental Sciences These are future-ready domains that combine technology with societal needs.

For Commerce Students

1. B.Com / BBA / BBM Core commerce programs that serve as stepping stones to professional careers in business, finance, or marketing. Pune, with its robust startup culture and MBA institutions, offers great industry exposure.

2. Chartered Accountancy (CA) / CS / CMA These are professional certifications that can begin right after 12th. CA, in particular, continues to be a gold standard in accounting and finance.

3. B.A. in Economics / Statistics For those inclined towards analytics and policy-making, this can lead to roles in government, private sector, or think tanks.

4. Digital Marketing / E-commerce With India’s digital boom, many students are exploring digital careers even during graduation. Pune offers top-tier short-term courses and internships in this field.

For Arts/Humanities Students

1. B.A. in Psychology, Sociology, Political Science, etc. These degrees open doors in counseling, civil services, research, and education. With the rising awareness of mental health, Psychology has gained immense popularity.

2. Law (BA LLB / BBA LLB) Many students opt for integrated law programs after 12th. Pune’s law colleges like ILS Law College are highly reputed.

3. Hotel Management / Culinary Arts The hospitality industry is booming again post-COVID, and Pune’s proximity to tourist hubs makes it a good place to train.

4. Journalism & Mass Communication Ideal for students with a creative flair and communication skills. You can explore roles in media, PR, or even content creation

How to Choose the Right Path: A Professor’s Checklist

As a teacher, here’s what I tell every student and parent who walks into my office:

1. Know Your Strengths and Interests

Don't choose a path just because your friends are doing it. Use tools like aptitude tests (like Psychometric Assessments offered by Career Guide or MINDLER) to understand your core skills.

2. Research the Industry Scope

Is the industry growing or declining? According to NASSCOM, India’s data science and AI sector alone will need 1.5 million professionals by 2026. Such trends matter when planning your future.

3. Talk to Professionals and Alumni

Attend career fairs, seminars, and open houses. Pune has a thriving academic community — use it to your advantage. You’ll get insights that textbooks can’t give.

4. Consider Cost vs. ROI

A career path must also be financially sustainable. Evaluate fees, duration, and future salary potential. Scholarships and financial aid are also available at reputed institutes.

Why Pune is the Ideal Education Hub

Having taught in Pune for years, I can confidently say this city is uniquely positioned to support young learners. Here's why:

Diverse Academic Institutions: From engineering to fashion design, Pune covers every stream.

Safe and Student-Friendly: With an affordable cost of living and high safety index, students can focus on their studies.

Industry Interface: IT hubs, startups, and manufacturing units offer internships and exposure.

Cultural Balance: A blend of tradition and modernity that enriches overall growth.

Future-Ready Career Trends to Watch in 2025 and Beyond

As we move into a tech-driven world, the nature of jobs is evolving. According to World Economic Forum’s Future of Jobs Report 2023, 44% of core skills will change in the next 5 years.

Some emerging domains to consider:

AI & Machine Learning

UX/UI Design

Green Technology

Cybersecurity

Healthcare Management

FinTech

Incorporating these trends into your learning journey—through electives, certifications, or internships—can give you a strong competitive edge

Suryadatta Group of Institutes: Your Pathway to Purposeful Learning

When students ask me where they can find a balance of academics, real-world exposure, and values, I often recommend the Suryadatta Group of Institutes in Pune. With over two decades of academic excellence, Suryadatta offers:

AICTE, UGC, and Government Recognized Courses

Programs across streams like Management, Commerce, IT, Fashion, Interior Design, Animation, and more

Industry-aligned curriculum and global collaborations

Strong placement records with top companies

Emphasis on holistic development — soft skills, ethics, and emotional intelligence

If you're looking for a nurturing, forward-thinking institution, contact Suryadatta Group of Institute which is an excellent choice.

Conclusion: Your Journey Starts Now

Your career after 12th isn’t just about what course you pick — it’s about discovering your potential, aligning your goals, and preparing yourself for a dynamic world. You’re standing at a fork in the road, and every choice you make from here on will shape your future. But the good news? With awareness, guidance, and the right mentors, you can’t go wrong.

As someone who’s guided hundreds of students just like you, I say this with confidence — trust the process, trust your potential, and stay curious.

Wishing you all the best for your future. Pune is proud of young minds like you.

[globalinstituteoftechnology]

Achieve Excellence with a B.Tech in CS at Global Institute of Technology

In today’s fast-paced digital world, pursuing a B.Tech in Computer Science and Engineering is your gateway to endless opportunities. At Global Institute of Technology (GIT) in Jaipur, we pride ourselves on providing world-class education that empowers students to excel in the field of technology.

Why Choose GIT for Your B.Tech in Computer Science and Engineering?

At GIT, we understand the evolving needs of the tech industry. Our B.Tech in CS program is meticulously designed to equip students with the knowledge and skills required to thrive in the digital era.

1. Comprehensive Curriculum

The curriculum at GIT is a perfect blend of theoretical knowledge and practical application. It covers essential topics such as programming languages, artificial intelligence, machine learning, cloud computing, and cybersecurity, ensuring a strong foundation in B.Tech from Computer Science.

2. State-of-the-Art Infrastructure

Our advanced computer labs, high-speed internet facilities, and modern classrooms provide an ideal environment for learning and innovation.

3. Expert Faculty

GIT boasts a team of experienced professors and industry experts who are committed to guiding students in their academic and professional journeys.

4. Industry-Oriented Learning

With partnerships with leading tech companies and regular industry exposure, students gain insights into real-world challenges and solutions, making our B.Tech in CS program highly relevant.

Career Prospects After B.Tech in Computer Science

A B.Tech in Computer Science and Engineering opens the doors to diverse career paths. Some of the most sought-after roles include:

Software Engineer: Develop and maintain cutting-edge software applications.

Data Scientist: Analyze and interpret complex data to provide actionable insights.

AI Specialist: Design intelligent systems that revolutionize industries.

Cybersecurity Analyst: Safeguard digital assets and prevent cyber threats.

Cloud Engineer: Build and manage cloud-based infrastructure for businesses.

Additionally, students can explore opportunities in academia, research, and entrepreneurship, leveraging the skills gained from a B.Tech from Computer Science.

Benefits of Studying B.Tech in CS at GIT

Holistic Development: At GIT, we focus not just on academics but also on nurturing soft skills, critical thinking, and leadership abilities.

Placement Support: Our dedicated placement cell has a proven track record of placing students in top multinational companies, ensuring a bright future for every graduate.

Global Exposure: Regular workshops, seminars, and webinars by international experts give students a global perspective.

Why Jaipur?

Studying in Jaipur, also known as the Pink City, adds a cultural and historic charm to your academic journey. The city is rapidly emerging as a hub for education and technology, making it an ideal location for pursuing a B.Tech in CS.

Admission Process

Getting started with your B.Tech in Computer Science and Engineering at GIT is simple. Here’s how:

Eligibility: Students who have completed their 12th-grade education with a strong foundation in science and mathematics can apply.

Application: Visit our official website to fill out the application form.

Counseling: Attend our counseling sessions to understand your potential career paths.

Enrollment: Secure your spot in one of India’s best B.Tech in CS programs.

Join the Leaders in Technology Education

At Global Institute of Technology, we believe in shaping the innovators of tomorrow. Our B.Tech from Computer Science program is not just about earning a degree—it’s about becoming a tech-savvy professional ready to make a difference in the world.

[juliebowie]

How to Become a Data Scientist after 10th: A Roadmap

Summary: Learn the essential steps and skills required to become a Data Scientist after 10th grade, including subject selection, additional courses, higher education paths, and gaining practical experience.

Introduction 

Data Science is revolutionising industries with its ability to analyse vast amounts of data for actionable insights. Pursuing a career in Data Science is highly beneficial due to the increasing demand for skilled professionals and the lucrative opportunities available. 

This article aims to guide students who have completed their 10th grade on how to become Data Scientists after 10th grade. It provides a clear roadmap highlighting essential steps, skills, and educational paths necessary to embark on this exciting career journey, ensuring students are well-prepared for future success in the dynamic field of Data Science.

Understanding Data Science

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It encompasses various techniques and tools for understanding and interpreting complex data sets. 

The scope of Data Science extends beyond mere data analysis; it includes data collection, data cleaning, data visualisation, and predictive modelling. Data Science turns raw data into actionable insights, driving decision-making across various industries.

Key Components and Skills Required in Data Science

To excel in Data Science, one must master several key components and skills. Firstly, a solid understanding of statistics is crucial. Statistics provides the foundation for making inferences about data and testing hypotheses. 

Secondly, proficiency in programming is essential. Languages like Python and R are widely used for data manipulation and analysis. Additionally, familiarity with SQL is vital for querying databases.

Furthermore, data analysis skills are necessary for exploring and interpreting data sets. This involves using statistical methods to identify patterns, correlations, and trends. Machine learning is another critical component, enabling Data Scientists to build predictive models and automate decision-making processes.

Lastly, data visualisation skills are essential for clearly presenting findings and compellingly using tools like Tableau and Power BI.

Different Roles and Career Paths Within Data Science

Data Science offers diverse career paths, each with distinct roles and responsibilities. A data analyst interprets data and generates reports to support business decisions. They often use large data sets to identify trends and provide actionable insights.

A data engineer builds and maintains the data generation, storage, and processing infrastructure. They ensure that data pipelines are robust and scalable, enabling efficient data flow within the organisation.

A machine learning engineer designs and deploys machine learning models. They work on developing algorithms that can learn from data and make predictions or decisions without explicit programming.

Other roles include data architects, who design data frameworks, and business intelligence analysts, who leverage data to drive business strategies. With such a broad array of opportunities, Data Science professionals can tailor their careers to their interests and strengths, making it a dynamic and rewarding field.

Roadmap to Becoming a Data Scientist after 10th

By following this roadmap and leveraging resources like Pickl.AI’s comprehensive Data Science courses and practical learning opportunities, you can set yourself on a successful path to becoming a Data Scientist.

Choosing the Right Subjects in 11th and 12th

Becoming a Data Scientist begins with the subjects you choose in your 11th and 12th grades. Mathematics forms the backbone of Data Science, providing the essential tools for statistical analysis, algorithm development, and problem-solving. Concepts such as calculus, linear algebra, and probability are fundamental to understanding Data Science methodologies.

Computer Science is another crucial subject. It introduces you to programming languages, data structures, and algorithms integral to data manipulation and analysis. Understanding how computers process data will give you a solid foundation for more advanced Data Science topics.

In addition, subjects like physics and economics can be beneficial. They help develop analytical thinking and an understanding of data science's real-world applications.

Recommendations for Additional Courses or Certifications during School

To further bolster your knowledge and skills, consider enrolling in additional courses or certifications related to Data Science. Online platforms offer courses specifically designed for high school students. Pickl.AI, for instance, provides some of India's best Data Science courses for beginners and professionals.

At Pickl.AI, you can benefit from:

Monthly Offline Interactions: Engage in face-to-face sessions with industry experts to clarify doubts and gain deeper insights.

Real Projects: Work on actual Data Science projects that provide hands-on experience and enhance your practical skills.

Doubt Clearing Sessions: Regular sessions address your queries and ensure you understand the concepts thoroughly.

Consider taking courses such as:

Data Science Bootcamp

Job Preparation Program

Data Science Course for Kids

Python for Data Science

Data Analytics Certification Course

ML 101 – Introduction to Machine Learning

ChatGPT Course

These courses offer a range of learning formats, from free one-hour sessions to comprehensive bootcamps with 100+ hours of expert-led lectures, placement support, and flexible learning options. 

Pursuing Relevant Higher Education

After completing 12th grade, the next step is pursuing an undergraduate degree in a relevant field. Degrees like B.Sc in Data Science, Computer Science, Statistics, or Mathematics are highly recommended. These programs provide a structured curriculum covering essential Data Science theories and practices.

However, there are other paths to becoming a Data Scientist than traditional degrees. Diplomas and online courses can also be practical, especially for those who prefer a more flexible learning schedule. Many online platforms offer industry-recognised specialised Data Science courses that provide useful knowledge. Pickl.AI’s offerings, for instance, include:

Data Science Tools: Learn to use cutting-edge tech tools trusted by thousands of companies.

Free Anytime Learning: Flexible courses that you can start anytime.

Gaining Practical Experience

To excel in Data Science, you need more than just theory. Practical experience is crucial. Internships, projects, and practical training allow you to apply your knowledge in real-world scenarios. 

Look for internships at companies that have strong Data Science teams. During internships, you will learn how to handle actual data, use Data Science tools, and work in a professional environment.

Participating in Data Science competitions and hackathons can significantly enhance your skills. Platforms like Kaggle host competitions that challenge you to solve complex data problems. These competitions provide an excellent opportunity to test your skills, learn from others, and gain recognition in the Data Science community.

Developing Key Skills

Proficiency in programming languages is a must for any aspiring Data Scientist. Start with Python, as it is widely used in the industry due to its simplicity and extensive libraries for data analysis. R is another valuable language, particularly for statistical analysis and data visualisation.

Beyond programming, you should also gain knowledge in databases, data visualisation, and machine learning. Understanding SQL and NoSQL databases is essential for managing and querying large datasets. 

Tableau and Power BI are crucial for visualising data and deriving insights. Machine learning, the core of Data Science, involves algorithms and models that can predict outcomes and identify patterns in data.

Building a Strong Portfolio

A strong portfolio showcases your skills and projects to potential employers. It is evidence of your practical experience and ability to apply Data Science concepts effectively. Include a variety of projects that demonstrate your expertise in different areas of Data Science, such as data cleaning, visualisation, machine learning, and statistical analysis.

To make your portfolio stand out, ensure each project is well-documented. Explain the problem you tackled, the approach you took, the tools and techniques you used, and the results you achieved. 

Use platforms like GitHub to host your projects and make them easily accessible to others. Regularly update your portfolio with new projects and improvements to showcase your continuous learning and growth in the field.

Frequently Asked Questions

How can students pursue Data Science after 10th grade?

After 10th grade, students should choose Mathematics and Computer Science in 11th and 12th grades, take relevant online courses, gain practical experience through projects, and pursue higher education in Data Science.

What skills are essential for becoming a Data Scientist after 10th grade?

Essential skills include proficiency in statistics, programming (Python, R), data analysis, machine learning, and data visualisation. Students should also develop problem-solving and analytical thinking skills.

What higher education paths should students follow to become Data Scientists?

Students can pursue Data Science, Computer Science, Statistics, or Mathematics degrees. Online courses, diplomas, and practical training through internships and projects are also beneficial.

Conclusion

Becoming a Data Scientist after 10th grade involves strategic planning and dedication. By choosing the proper subjects, gaining relevant skills, pursuing higher education, and acquiring practical experience, students can build a strong foundation for a successful career in Data Science. 

With continuous learning and hands-on practice, the journey to becoming a proficient Data Scientist is achievable and rewarding.

[careerbossinstitute]

Top 10 Best Short-Term Courses After 12th 

Choosing the right course after completion of class 12th depends on your interests, goals regarding your career, and your academic background. Short-term courses are a very good means of gaining particular skills for raising your career prospects in less duration. 

Here are the 10 popular short-term courses including an Online Fullstack Development Course that anyone can try after passing class 12th. 

After 12th, Best Short Term Course

1. Web Development

A course in Web Development provides you a well-rounded knowledge in this expertise, starting with the basics of HTML and CSS that is used to create static Web Pages. The course proceeds through JavaScript for interactive and dynamic content and explains modern frameworks/libraries, such as React. 

Students leave this course equipped and empowered to begin a career in Web Development, with the ability to develop, update, and maintain professional websites and applications.

Duration: 3-6 months

Career Prospects: Web Developer, Front-end Developer, Back-end Developer, Full-stack Developer.

2. Digital Marketing

Digital marketing is designed to teach you the core techniques of promoting any product or service in the online marketplace. You'll learn about SEO(Search Engine Optimization) techniques, how to increase the visibility of the website, and SEM(Search Engine Marketing) that drives targeted traffic using paid ads. 

Social media marketing curriculum covers how to effectively use platforms like Facebook, Instagram, and Twitter to engage with audiences. This holistic approach will help students in a variety of roles within the umbrella of the digital marketing industry.

Duration: 3-6 months

Career Prospects: Digital Marketer, SEO Specialist, Social Media Manager, Content Creator.

3. Graphic Design

A graphic design course is all about artistic and technical skills needed to create visually appealing designs. You will be able to understand the basics of design principles, colour theory, typography, and laying out designs. 

Practical training in industry-standard software is also important in such a vibrant skill. After having this course, you may work on a number of projects. You can work on designing logos to designing marketing materials. After the course, you can pursue a career in the field of graphic design, advertising, and digital media. The course is also called by the name image editing. You can search “Image editing Course near me”, to find reputed institutes in your city. You may also take up online classes from anywhere. 

Duration: 3-6 months

Career Prospects: Graphic Designer, Creative Director, Visual Designer, UI/UX Designer.

4. Data Analytics

This course covers the basics of data analytics, with a focus on techniques for analysis and interpretation of data. Starting from Excel for basic data manipulation, moving through SQL for database querying, students learn basic programming languages like Python and R for statistical analysis and data manipulation purposes. 

The course curriculum covers real case studies and projects, giving hands-on experience to apply the acquired skills toward data-driven decision-making and analytical thinking. 

Duration: 3-6 months

Career Prospects: Data Analyst, Business Analyst, Data Scientist, Market Analyst.

5. Cybersecurity

A course in cybersecurity lets you know how to protect the systems and associated networks from cyber threats. The course covers network security principles, ethical hacking techniques, and cryptography to secure data. 

Students get hands-on engaging practical labs and simulations to turn out good at the detection of vulnerabilities and implementation of safety measures against cyber-attacks. After 12th students can take up this course to become prepared for a career in the ever-evolving field of cybersecurity.

Duration: 3-6 months

Career Prospects: Cybersecurity Analyst, Ethical Hacker, Information Security Manager, Security Consultant.

6. Project Management

Project management is a very useful course for students aiming for HR-related jobs in the future. They will learn the basics about how to plan a project: determine the scope of a project, set objectives, and allocate resources. 

Risk management techniques are usually taught as well to identify and minimize the potential risks that a project involves. Through real-world projects and simulation, students acquire the ability to lead and manage projects to deliver on time and to success, which goes on to prove why students would be an invaluable asset in any organization.

Duration: 2-3 months

Career Prospects: Project Manager, Operations Manager, Scrum Master, Project Coordinator.

7. Financial Modelling

This course covers the essential skills for building and analysing financial models. You will learn how to prepare comprehensive statements of finance and run ratio analysis. The techniques covered in this course also include projections of future financial performance by various forecasting techniques and valuation techniques. 

It adds discounted cash flow and comparable company analysis. Students learn how to build robust financial models through practical exercises and case studies that help drive investment decisions, business planning, and strategic analysis. This course is an absolute necessity for someone interested in finance as a career.

Duration: 2-3 months

Career Prospects: Financial Analyst, Investment Banker, Corporate Finance Professional, Equity Research Analyst.

8. Event Management

The course is designed for students interested in fundamentals of event planning based on setting objectives, budgeting, and scheduling. Marketing ideas for the promotion and attraction of prospective attendees to come to the events are also taught in the course. 

Duration: 3-6 months

Career Prospects: Event Planner, Wedding Planner, Event Coordinator, Conference Organizer.

9. Content Writing

A course in content writing helps you to learn the principles of effective copywriting, including how to craft compelling headlines and persuasive calls to action. Creative writing modules improve your storytelling abilities, and research techniques ensure accuracy and credibility. 

By the end of this class, you will be equipped to create engaging content for websites, blogs, social media, and other digital platforms.

Duration: 2-3 months

Career Prospects: Content Writer, Copywriter, Editor, Blogger.

10. Photography

A good photography course impart artistic and technical skills needed in taking photographs. From the operations of the camera to learning different settings on your camera, students are trained to take good pictures. 

It includes techniques, such as lighting and composition, and exposure. Students are given training in photo editing software like Adobe Lightroom and Photoshop to enhance or manipulate images. The course also covers image editing. Search “Image editing Course near me” to find any reliable course on photography and image editing.

By the end of the course, you will have a strong portfolio of work and the skills needed to pursue various careers in photography. If you are passionate about photography it is highly advised to start building a niche portfolio of your style early. 

Duration: 3-6 months

Career Prospects: Photographer, Photojournalist, Freelance Photographer, Commercial Photographer.

Conclusion

These courses provide hands-on training for fresh job entry or an upgrade in any particular field. When you make a decision, consider your interests, strengths, and career goals to choose a course that can place you on the right path to follow up with your dreams. If you need help regarding choosing the right short term course, or looking for an Online Fullstack Development Course, contact Career Boss Institute. 

[newsstoryhub]

How to become a data scientist after 12th?

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To become a data scientist after 12th grade, pursue a bachelor's degree in Computer Science, Statistics, or Mathematics. Focus on learning programming languages like Python and R, and develop strong analytical and problem-solving skills. Gain knowledge in machine learning, data analysis, and data visualization. Participate in internships and projects to gain practical experience.

[analyticstraininghub]

Yes, You Can Become A Data Scientist After BBA And MBA | Analytics Training Hub

Data Science is a branch of applied mathematics and statistics that uses mathematical techniques to extract insights from data. In this blog post, we will give you the steps you need to take in order to become a Data Scientist after your BBA and MBA.

What is Data Science?

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

A data scientist is a professional responsible for collecting, analyzing, and interpreting large amounts of data to identify trends and patterns. They use their findings to help organizations make better business decisions.

Data science is a relatively new field that is constantly evolving. As such, there is no one-size-fits-all definition of what a data scientist does. However, there are some skills that are essential for all data scientists. These include:

– Strong analytical and mathematical skills – The ability to think abstractly and solve complex problems

– Strong programming skills – The ability to write code that can analyze large datasets

– A keen eye for detail – The ability to spot trends and patterns in data

– The ability to communicate effectively – Data scientists need to be able to explain their findings to non-technical staff.

Why MBA and BBA Graduates Can Become Data Scientists

MBA and BBA graduates have a perfect skill set to become data scientists. They are analytical, they can think strategically, and they have strong problem-solving skills.

Data science is a relatively new field, and there is a lot of demand for qualified data scientists. MBA and BBA graduates are in a great position to take advantage of this demand.

There are many Best online courses to become data scientists and programs that MBA and BBA graduates can use to learn the skills they need to become data scientists. With some dedication and hard work, anyone can become a data scientist.

How to Get Started with a Career in Data Science

There is no one-size-fits-all answer to this question, as the best way to get started with a career in data science may vary depending on your background and experience. However, there are a few things that everyone should keep in mind when embarking on a data science career.

First and foremost, it is important to have a strong foundation in mathematics and statistics. This will be essential for understanding and working with the large amounts of data that are commonplace in the field of data science. In addition, computer programming skills will also be very useful, as many data science tasks require coding.

If you do not have a background in mathematics or computer programming, there are still ways to get started in data science. Many online courses exist that can teach you the basics of these subjects. In addition, there are now many boot camps that offer intensive training in data science. The Analytics Training Hub can be an excellent way to gain the skills and knowledge necessary to start a career in data science.

Once you have the requisite skills, it is important to start building up your experience by working on projects. There are many online platforms that allow users to share their data science projects with others. This can be an excellent way to get feedback and learn from more experienced practitioners. Additionally, participating in online forums and attending meetups can help you network with other professionals in the field.

Data science is a rapidly growing field with immense potential. By following these tips,

Data Scientist Skills, Soft Skills, Technical Skills

A data scientist is a professional who has the ability to analyze data and draw insights from it. Data scientists typically have a strong background in mathematics and computer science, and they use their skills to solve business problems.

There are three main types of skills that a data scientist needs: soft skills, technical skills, and domain knowledge.

Soft skills are those related to personality and communication. A data scientist needs to be able to work well with others, communicate effectively, and manage their time efficiently.

Technical skills are those related to the tools and techniques used to analyze data. A data scientist needs to be proficient in statistical analysis, programming languages, and database management systems.

Domain knowledge is the specific knowledge of an industry or subject matter. A data scientist needs to have a deep understanding of the business problem they are trying to solve. They also need to be familiar with the data sets that are relevant to their problem.

Career Paths, Jobs Related to Data Science

There are many different career paths and jobs related to data science. Some of these include data analyst, business intelligence analyst, and big data engineer. Data scientists typically have a background in computer science, mathematics, and statistics. They use their skills to analyze data and help organizations make better decisions.

Data analysts collect and analyze data to help businesses make better decisions. They use statistical techniques to identify trends and patterns in data. Business intelligence analysts use data to create reports and dashboards that help businesses track their performance. Big data engineers design and build systems that can store and process large amounts of data.

Data scientists typically have a bachelor’s degree in computer science, mathematics, or statistics. Many also have a master’s degree or higher. Data science is a growing field with many opportunities for career growth.

Some useful Links are Below:

To Know more about our Data Analytics Advanced to Beginner level Certification Course

Must visit our Official youtube channel - Youtube

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Courses for Data Scientist

Become the leading light for businesses. Explore the Eligibility, Courses, Top Colleges & Job Prospect in Data Science. Apply now for Easy Admissions.

https://bangalorestudy.com/blog/how-to-become-a-data-scientist

Courses for Data Scientist

[sciencespies]

Genetic Study Maps When and How Polynesians Settled the Pacific Islands

https://sciencespies.com/nature/genetic-study-maps-when-and-how-polynesians-settled-the-pacific-islands/

Genetic Study Maps When and How Polynesians Settled the Pacific Islands

Moai statues at the Rano Raraku site on Easter Island Weller / ullstein bild via Getty Images

Gazing across the sea for days on end Polynesian navigators often didn’t look for land, which was hundreds of miles away in any direction. Instead, they watched the stars, clouds, birds, waves and other features of the environment from their open canoes, using them to navigate from one unseen island to the next, repeatedly finding green specks of land in a blue sea that covers one-third of the planet. Eventually these great explorers populated the habitable islands of the vast Pacific and left future generations to wonder exactly how it happened.

The ancient voyagers left behind only faint traces for scientists to reconstruct some of humankind’s most adventurous journeys. Those things include clearly related languages on widely scattered island groups, sweet potatoes, stone tools and even, in a few places, towering human figures. Those stone monoliths have stoically stood for centuries, bearing witness to the skill of their sculptors but offering few clues to who those ancient islanders were, or how they got there. 

But in recent years it has become clear that the Polynesians left something else behind—their genes. Searching the genomes of humans on widely scattered islands and tracking changes has allowed scientists to map their epic journeys in time and space. Now, new research published today in Nature makes the intriguing suggestion that the Polynesians who erected those mysterious stone figures on islands thousands of miles apart were actually descended from the same group of explorers. “The fact that we find genetic connections between very different islands, but the factor that they have in common is the presence of this culture of megalithic statues, I think is a pretty surprising thing that genetics is helping us to discover,” says Andres Moreno-Estrada, with the National Laboratory of Genomics for Biodiversity in Mexico, an author of the new study.

Some of the same facts that made settlement of the Pacific such a challenge also created an unusual genetic history that has proven ideal for recreating Polynesian ancestries, and thus charting their voyages generally eastward across the ocean. Pacific islands are so widely scattered that humans lived on them in genetic isolation, and travel between islands by canoe was necessarily undertaken by small groups of perhaps 30 to 200 individuals, who formed a very small founding population on each new island that they reached.

Moreno-Estrada and colleagues tracked Polynesian ancestry by gathering genome wide data from 430 modern individuals in 21 key Pacific island populations from Samoa to Easter Island. Then they used computational analyses on these large numbers of modern genomes to track genetic variants down through the generations. Most rare genetic variants found in each settled island’s population weren’t carried by any of the individuals who made trips to future islands, and thus don’t appear in the genome of the new island’s population. Scientists can track the loss of these variants. And occasionally a few rare variations did move along to each new island, by chance, with an individual in that small founding population. Once on the new island those previously rare variants were soon acquired by all descendants of the small founding population and became extremely common, providing another genetic marker.

Tracking these key ancestral signals allowed the team to map human movement across the Pacific islands, and produce date estimates for settlement journeys by calculating the number of generations between genetic divergences.

“The genetic method used takes advantage of the serial bottlenecks that population experienced while settling subsequent Eastern Polynesian islands,” says Cosimo Posth, an expert in archaeogenetics at the University of Tübingen who wasn’t involved in the research. “This provides very good evidence for the order of the expansion.”

Modern genetic influences from Europeans, Africans and others exist on some islands but the team was able to use machine learning techniques to mask these pieces of the genome and compare only the Polynesian parts of the ancestry evidenced in the genetic code.

And on islands for which ancient DNA samples exist, the team compared them to modern genomes and learned that individuals living on those islands remain most closely related to ancient samples from the same island, confirming that the original population hasn’t been largely replaced by some later migration of different groups.

The findings chart a Polynesian settlement of the vast Pacific that began in the western Pacific, in Samoa. With their distinctive double canoes Polynesians then reached the Cook Islands (Rarotonga) in the ninth century, the Society Islands (Tōtaiete mā) by the 11th century and the western Austral (Tuha’a Pae) Islands and Tuāmotu Archipelago in the 12th century.

Illustrated above are distinctive monolithic sculptures crafted by the inhabitants of the Marquesas Islands (top), Mangareva (center), Raivavae (bottom left) and Rapa Nui (bottom right)

Zaira Zamudio López

Patrick Kirch, a historical anthropologist at the University of Hawai’i, Manoa, says the study is a good example of how evidence from linguistics, archaeological dating of habitation sites and artifacts and genetics are converging to paint a similar picture of Polynesian settlement. “They’re giving pretty precise estimates of colonization dates and in general those are fitting quite nicely with our new radiocarbon dating [of habitation sites] of the last 10 or 15 years,” says Kirch, who wasn’t affiliated with the research.

Most intriguingly, the authors suggest that the Tuāmotu Archipelago, a group of low-lying, sandy atolls that hasn’t yielded much in the way of archaeological sites, may have been home to populations of long-distance seafarers who went on to settle the Marquesas Islands (Te Henua ‘Enana) in the north, Raivavae in the south and Easter Island (Rapa Nui) by about 1200 A.D. On each of these extremely distant islands someone, settlers who shared the same ancestors according to the study, left behind a similar culture of remarkable stone monoliths. Those human images have stoically and mutely stood as testament to the humans who erected them—and perplexed later visitors searching for their origin.

Co-author Alexander Ioannidis, who studies genomics and population genetics at Stanford University, wasn’t even aware that Raivavae had stone figures like those on Easter Island. “We found the genetic connection first,” he says. “I was really shocked that this island we had found was genetically connected, but isn’t really well known, [and] also turns out to also have these huge statues.”

Patrick Kirch says the theory that one group of closely related Polynesians took monolith culture with them to far-flung islands over several centuries, will likely prove more controversial. Only a handful of islands host large stone monoliths but many others, like Hawaii, feature similar human images carved in wood, he notes.

“In my view it’s more a matter of carving human images, for various religious purposes or ancestor worship. So it’s a widespread cultural practice in East Polynesia, and just because some of them are in stone I don’t think we should necessarily make too much of that.”

Previous genetic research by the study’s authors concluded that Polynesians and Native Americans first met around the year 1200 in the remote South Marquesas, and the new research suggests that voyagers from the Tuāmotu Archipelago were the ones who settled those same islands during that same era.

It’s not known whether Native Americans ventured into East Polynesia, where the two groups met, or whether the settlers of South Marquesas already carried Native American genes circa 1200 because they’d first reached that distant continent. That raises the interesting possibility that Polynesians extended their eastward travels from Tuāmotu to the very end of the ocean.

The tale of Polynesian voyaging isn’t a simple linear progression in which settlers advanced across the Pacific from one island to the next. For example, they likely passed by Raivavae on their general eastward migration, and settled it some three centuries later by heading back to the west from Mangareva.

Polynesians also didn’t immediately give up long distance seafaring just because they had found and settled plentiful new islands. The study of language evolution suggests that there was considerable inter-island contact during the era when Eastern Polynesia was settled.

And some more concrete facts have also emerged as archaeologists have developed new techniques. X-ray fluorescence traces the stone tools found on numerous islands to specific query sources in the Marquesas and Austral Islands, showing that adzes and other tools were taken to far flung islands on long canoe voyages. “The archaeological evidence for inter-island contact now is very strong and people were moving around between these islands after they were settled,” Kirch says.

The question is how much those post-settlement voyages might have contributed to the genetic makeup of the individuals living on the islands today, and thus impacted the study conclusions inferred from their DNA.

The authors acknowledge that subsequent voyages between the islands occurred, but believe that in most cases they didn’t have significant impacts on genetics because of exponential population growth. When small groups of 30 to 200 individuals reached new islands stocked with nesting seabird colonies and unfished reefs, their populations likely boomed to thousands of closely related individuals sharing similar genetics. When a few double canoes later occasionally traveled thousands of ocean miles, carrying perhaps a few dozen individuals, they would likely have had little impact on the genetic frequencies of islands where they landed.

The picture drawn by Polynesian genetics doesn’t always agree perfectly with archaeological evidence. Estimates for the settlement of Marquesas, for example, are a few hundred years later than the earliest radiocarbon dating evidence of charcoal samples found at habitations in the Northern Marquesas.

For the most part, however independent lines of genetic, linguistic and archaeological evidence are generally converging to tell a similar story of what’s called the ‘short chronology’ of Eastern Polynesia. And there are more chapters to write. The Pacific is vast, and even genetic exploration of its islands and their settlers takes a lot of time and effort.

Moreno-Estrada’s team is next turning their attention to a group of islands with a high profile. “Who were the first settlers of Hawaii and where did those people come from,” he wonders. “That’s an open question we are going to explore.”

Explorers

Genetics

Indigenous Peoples

Pacific Ocean

Ships

#Nature

[geetauniversity]

6 Most Promising BCA Career Options in 2023 – Geeta University

The world is changing quickly, therefore in order to keep up, students must be well-informed throughout the entire process of creating their careers. Given the fierce competition that exists in the sector, students should be very analytical and aware of current trends when choosing their educational path. Many students are choosing BCA as one of the most popular and sought-after UG programmes in India in 2022.

The breadth and career prospects of the bachelor’s degree they wish to follow, as well as the institution they take admission at, are the two main factors that students must consider before picking any UG course after completing their class 12th. Students who want to study BCA as their undergraduate degree programme should pick a reputable university that provides a high-quality BCA curriculum and solid employment prospects. One of the top BCA institutions in Delhi is SAITM, or St. Andrews Institute of Technology & Management, which offers top-notch instruction to pupils. The BCA programme at SAITM is extremely thorough and features a challenging curriculum. The BCA programme at SAITM includes both theoretical and practical information to assist students gain as much exposure to industry as possible.

Next, students should be aware of the breadth and depth of job options available to them after completing the BCA programme in 2022. Knowing the finest career choices after your BCA will help you advance your career, whether you want to enroll in a BCA course, are already pursuing one, or have already finished one. In this blog, we’ll go over the range of options and the finest job paths following the BCA in 2022.

Best Career Opportunities After BCA in 2022

1. Data Scientist:

Data Science is one of the industries that is expanding the quickest, and there is a huge need for data science specialists right now. Since data scientist is one of the highest paying jobs in India, data science is a viable career option for BCA grads. Although programming languages and the study of cutting-edge technologies are topics covered in the BCA curriculum, we advise students to enrol in a Data Science certification programme to develop knowledge in the field. Data mining, data analysis, and visualisation of data are all part of a data scientist’s job description.

Data scientist starting compensation package average: 8 LPA

2. Web Developer:

Web developer positions are available at numerous reputable private IT organizations for BCA grads. Since BCA students are taught how to design and implement numerous computer programmes and software using different programming languages during their BCA education, web development is one of the most suited careers for them. Additionally, given the growing trend of digitization in the industry, web development has a lot of potential. Students majoring in BCA can accelerate the growth of the web development industry by honing their abilities and obtaining experience. The creation, deployment, and upkeep of websites or web applications are all part of a web developer’s job description.

Web developer beginning pay is between $3 and $6 LPA on average.

3. Cyber Security Expert:

The cyber danger has significantly expanded over the past ten years as a result of social media’s expanding popularity, increased internet usage, and the move of everything online. Due to this, there is a great need in the business for Cyber Security Experts, and the BCA programme equips students to fill this position. The BCA programme at SAITM is created in accordance with industry standards and aids students in developing the skills and knowledge needed for common career jobs in the sector. To prepare students to become successful cyber security professionals, SAITM hosts a variety of workshops. Utilizing a variety of security techniques, methods, and software, the job function involves application, networking, and data security via the internet.

A Cyber Security Expert’s initial compensation ranges from 4 to 10 LPA.

4. Technical Analyst:

BCA students can readily take on the function of a Technical Analyst because they are well-versed in networking and computer applications. A technical analyst’s duties include analysing business processes and needs and making recommendations for the best applications, tools, and technologies to use in order to increase organizational productivity and cut expenses. A technical analyst oversees the organization’s IT systems and instructs new hires in IT practises. After earning a BCA, one professional path one might choose is that of a Technical Analyst.

A technical analyst’s beginning compensation ranges from 4 to 7 LPA.

5. Software Developer

Software developer is one of the most popular and growing career paths for BCA graduates. Many prominent BCA colleges, including SAITM, offer college placements for students, enabling them to land software developer jobs as soon as they graduate. As software developer trainees, some businesses employ BCA grads. However, after obtaining some expertise quickly, students can advance to higher jobs. Software is created and designed by software developers utilising a variety of technologies and programming languages. The position in the IT sector provides BCA students with the best opportunity for career progression.

Software developer starting package average: 3 to 10 LPA

6. Pursue Higher Studies or Masters:

After earning a BCA, students can choose higher study to improve their professional prospects. It is indisputable that a master’s degree leads to more favorable and extensive prospects than a bachelor’s. After finishing their BCAs, students have the option of pursuing an MCA, MBA, or PGDM in order to pursue better employment possibilities. A master’s degree enables students to advance to senior positions in a business and helps them build experience in their chosen fields.

[spaceforedu]

How to become a Data Scientist 2023

A career after completing a data scientist course is a prosperous one not only because it’s high in demand but it is also a versatile field and offers high paychecks. Regarded as the fastest-growing and evolving profession in the 21st century with huge career opportunities and popularity in the marketplace. 

Are you wondering about “how to become a data scientist after 12th”? Read this blog that gives you all the information about the huge demand and wider scope of data science.

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‘The Course, Admission and Career Prospects of a Degree in Data Analytics in Pune.’

BSc Data Science colleges in Pune provide a three-year full-time programme in Computer Science, Business Analytics, and Artificial Intelligence. 

Data Science is an interdisciplinary discipline that covers the use of Statistics, Big Data Analytics, Machine Learning, and other related elements to comprehend a problem or phenomenon in relation to a set of real-world data. 

The course prospects also encompass many mathematical, statistical, computer science, and information technology ideas, methods, and tools. 

This course teaches students how to investigate, evaluate, and forecast solutions in a variety of industries, including manufacturing, healthcare, banking, finance, marketing, and business strategies. 

You will be able to deal with massive volumes of data after completing this degree from some of the most renowned data science colleges in Pune, that will enable you to become an adept expert in the fields of programming, machine learning, data wrangling, data intuition, software engineering, data visualization, and so on. 

Java, SQL, Python, R, SAS, Scala, Julia, and MATLAB are among the core programming languages, as are Tableau, Hadoop, and other tools. 

In relation to future reach and career stability, data science is among the most popular careers in the world. There are now around 2 lakh employment opportunities in this subject of study. It is expected that work prospects in this subject would grow by at least 40-45 percent every year. 

A Data Scientist's national average pay is about INR 8.1 LPA, but with adequate expertise, it may rise to INR 20 LPA between 5-10 years. 

The minimum percentage increase for data science specialists is 30-40%, and it may reach 60-70% at well-known businesses including Amazon, Deloitte, Publicis Sapient, Cognizant, and many others. 

The role of Data Analyst is the most prominent and highest paying employment option after graduation. Data Solutions Analysts often save client-specific data as well as valuable reports pertaining to corporate rules and processes.  

They acquire information from clients, manage the data warehouse, adhere to the automated report creation procedure, and make advice in the event of a poor outcome or result. 

Data Science is a field that combines subjects from computer science, mathematics, artificial intelligence, and analytics. The syllabus for this specialist course is nearly same across all universities, with minor variations in electives allowed by the UGC. 

You can tell if a college is right for you by looking at things like the syllabus, course curriculum, and course objectives to get a good picture of the course's results and goals. Placement records and average salaries are provided by the particular schools, as well as any type of scholarship or financial help. 

Majority of the top colleges including the SSI Pune, conduct Common Entrance Test (CET) for their admission process. After this, a Personal Interview also takes place to know the interest and capability of the candidate. While the others take into account the CGPA or grades of the 12th standard.