#data-analytics

[victusinveritas]

[orgcommunity2015]

Top Digital Trends of 2024 and How to Prepare for 2025 

As we approach the end of 2024, our latest. orgSource Digital Trends Survey has shed light on the forces shaping the association landscape. Associations are at a pivotal moment, where adapting to digital trends will determine how well they thrive in 2025 and beyond. The insights from our survey offer a roadmap for aligning strategy, culture, and technology to stay resilient and agile in a rapidly…

[graphics-designingg]

Affordable and Industry-Ready Data Analytics Course in Rohini

In today’s data-driven world, businesses, governments, and organizations depend heavily on accurate insights to make decisions. Data analytics has become essential in almost every industry, from retail and healthcare to finance and technology. If you want to thrive in this fast-growing domain, enrolling in a Data Analytics Course is a game-changer.

This article will walk you through what data analytics is, why it’s critical, and how enrolling in the right course can help you advance your career. Our specialized Data Analytics Course in Rohini, Delhi, is designed to empower students and professionals with in-demand skills and hands-on experience, ensuring you are job-ready from day one.

What is Data Analytics?

Data analytics is the science of analyzing raw data to extract meaningful insights, patterns, and trends. The objective is to transform data into actionable insights to improve business performance, make better decisions, and predict future outcomes.

This process involves several stages:

Data Collection: Gathering data from various sources (internal systems, surveys, sensors, etc.).

Data Cleaning and Preparation: Eliminating errors, missing values, and inconsistencies to ensure high-quality data.

Data Analysis: Using statistical, mathematical, and computational techniques to identify patterns.

Visualization: Representing data in the form of charts, graphs, and dashboards for better understanding.

Interpretation and Decision-Making: Using insights to guide business strategies or predictions.

Industries that adopt data analytics achieve improved efficiency, reduce risks, and increase profits, making it a critical tool for both companies and individuals.

Career Opportunities in Data Analytics

Data analytics is a versatile field, with numerous job roles and industries actively hiring skilled professionals. Here are some popular roles you can pursue after completing a data analytics course:

Data Analyst

Analyzes datasets to draw insights and trends. Creates visual reports for stakeholders.

Business Analyst

Bridges the gap between business needs and technical solutions using data-driven insights.

Data Scientist

Develops predictive models using machine learning and deep learning algorithms.

Data Engineer

Builds and maintains data pipelines for the smooth flow of information.

Marketing Analyst

Analyzes customer behavior to enhance marketing strategies.

Healthcare Data Analyst

Uses patient data to optimize hospital management and improve healthcare outcomes.

According to various industry reports, the demand for data professionals is projected to grow exponentially over the next decade. Whether you are a fresher or an experienced professional looking for a career switch, acquiring data analytics skills opens a world of opportunities.

Overview of the Data Analytics Course in Rohini

Our Data Analytics Course is meticulously designed to cover all essential aspects, from the basics to advanced analytics. Here’s what makes our course unique:

Comprehensive Curriculum The curriculum includes modules on:

Data Handling with Excel and SQL

Data Cleaning and Transformation Techniques

Statistical Analysis using Python/R

Data Visualization with Power BI and Tableau

Machine Learning Fundamentals

Real-World Projects and Case Studies

Practical, Hands-On Approach You will work on real datasets and industry-relevant projects to understand practical applications. We emphasize practice so that you gain confidence in applying your skills to actual problems.

Experienced Faculty Our trainers are industry experts with years of experience in data analytics, offering you valuable insights into real-world challenges and solutions.

Placement Assistance and Certification Upon course completion, you will receive a recognized certificate that adds value to your resume. Our placement team will also help you prepare for job interviews, offering mock tests and resume-building workshops.

Who Should Enroll in This Course?

This Data Analytics course is suitable for :

Fresh Graduates looking for lucrative career options. Working Professionals aiming for a career transition into data analytics or data science. Entrepreneurs and Business Owners who want to leverage data for better decision-making. Students from Non-Technical Backgrounds who want to break into the tech industry with ease.IT Professionals seeking to enhance their skills with analytics and business intelligence tools.

No prior experience in coding or statistics is required. We offer introductory modules that will guide you from the basics to advanced concepts.

Skills You Will Learn

By the end of this course, you will acquire the following in-demand skills:

Data Cleaning and Manipulation: Handling missing data and ensuring data accuracy. Statistical Analysis: Performing descriptive and inferential statistics. SQL Querying: Extracting and manipulating data from relational databases. Programming in Python/R: Automating data tasks and building predictive models. Visualization Tools: Creating stunning dashboards using Power BI, Tableau, and Excel. Machine Learning Fundamentals: Building basic predictive models for real-world applications. Soft Skills: Enhancing analytical thinking and communication skills for presenting data-driven insights effectively.

Advantages of Learning Data Analytics

Our center, located in the bustling area of Ayodhya Chowk, Sector 3, Rohini, offers a vibrant learning environment. Here’s why choosing us benefits you:

Convenient Location: Easy access via public transport makes commuting hassle-free. State-of-the-Art Infrastructure: Equipped with modern labs and tools for seamless learning. Small Batch Sizes: Personalized attention from instructors ensures a better learning experience. Flexible Timings: We offer both weekend and weekday batches to fit your schedule. Networking Opportunities: Meet like-minded professionals and industry experts to build your network.

Course Structure and Timeline

Duration: 4-6 months (Flexible learning schedules available) Mode of Learning: Classroom Training + Online Access to Resources

Week 1-4: Introduction to Data Analytics and Data Handling Techniques Week 5-8: Statistical Analysis with Python and R Week 9-12: SQL for Data Extraction and Transformation Week 13-16: Data Visualization with Tableau and Power BI Week 17-20: Introduction to Machine Learning and Case Studies Week 21-24: Project Work, Mock Interviews, and Certification

Student Testimonials

"The course gave me hands-on experience with Python and SQL, which helped me secure a job as a Data Analyst within two months of completing the course." — Ritu Sharma, Alumni

"I was from a non-technical background, but the instructors made the learning process smooth and engaging. I now work as a Business Analyst and couldn’t be happier!" — Sameer Verma, Alumni

How to Enroll

Joining our Data Analytics Course is easy! Just follow these steps:

Contact Us at 9811128610 to know more about the course fees, batch timings, and discounts. Visit Us at our center located at H-34/1, 1st Floor, near Ayodhya Chowk, Sector 3, Rohini, Delhi. Register Online: You can also enroll via our website (if available) or by visiting us in person.

Conclusion

In a world where data reigns supreme, having data analytics skills gives you a significant advantage in the job market. Whether you aim to land a high-paying job or use data to grow your business, our Data Analytics Course in Rohini, Delhi, equips you with the knowledge and tools you need to succeed.

Take the first step towards building a brighter future. Contact us at 9811128610 or visit us at H-34/1, 1st Floor, near Ayodhya Chowk, Sector 3, Rohini, Delhi, to learn more about this transformative learning opportunity.

[jonathonpoe]

Pivot Table 101

Creating a pivot table in Excel allows you to summarize and analyze large datasets in a concise format. Here’s a step-by-step guide on how to create a pivot table: 1. Prepare Your Data Ensure your data is organized: Your data should be in a table format, with each column having a header/name at the top. Avoid blank rows and columns: This ensures the pivot table includes all your data…

[edujournalblogs]

Data Analytics in different industries.  Exploring career opportunities for fresher’s :

Wondering how to kick start your career in Data Analytics !  You will need to upskill your technical (Processing Raw Data , Data Wrangling, SQL, Data Visualization with PowerBI or Tableau, SAS (Statistical Analytical Software for Statistical Analysis and  Computing), Mathematics and Statistics etc  ) and soft skills (critical thinking, persuasive communications, great listener and problem solver).

Data analytics also keeps the organization updated on changing trends and customer preferences, which gives them the means to update their business decisions accordingly.  Companies in Retail Sector using data analytics gain a competitive edge in an industry that is competitive and continuously evolving.  For a successful data science career, you would require to be a jack of all trades viz., programmer, analyst, engineer, mathematician, statistician, and strategist.  They are always focused on huge volumes of data; they formulate patterns, identify trends, analyze data, and solve business challenges.  Today, Data has always been an integral part of every business organizations and almost all sectors and industries are using data analytics to boost performance.

Data analytics refers to the process of collection, storage, examination, and application of data to derive insight and provide forecasts and trends that guide businesses towards success.  Data Analysts use advanced tools and software to collect, preprocess, examine and analyze raw data. They are responsible for deriving valuable insights and metrics from data, developing competitive strategies, and guiding the management to take efficient business decisions.

Often employers prefer skilled people with exposure to data before and analytics before  taking a role as a data analyst. If you’re switching to data analysis from another field, start to develop your experience by working with data.  Try  to gain experience collecting, cleaning, analyzing, and visualizing real data.

You can find data analytics jobs in every industry, and there are more than one path toward securing your first job in this field. Whether you’re a fresher or a professional pivoting to a new career, there are opportunities for everyone.  Getting a job as a data analyst is an entry-point,  that can lead you to a variety of exciting career paths ahead.  As you gain experience as a data analyst, you may encounter opportunities to advance your career as a  data scientist, management, consulting ie data analyst consultant, or a more specialized data role such as Business Analyst, Financial Analyst, Operations Analyst, Marketing Analyst, Systems Analyst or a Health care Analyst.. 

If you’re exploring a career in data analyst, here's are a few tips:

Get a foundational education : develop foundational knowledge in mathematics, statistics or computer science,  and enhance your portfolio and resume

Update your technical skills:  These are essential skills you’ll require to get hired.

Statistical skills

Computer skills

R or Python programming knowledge

SQL (Structured Query Language)

Data visualization like PowerBI and Tableau

Data cleaning and preparation

In addition to these hard skills, hiring managers will also look for workplace skills, like good communication skills (you may be asked to present your findings to those without as much technical knowledge), problem solving skills, and industry domain knowledge etc.

Work on real-time projects: Include hands-on projects using real data sets .

Develop a portfolio of your work:

Be sure to save your best work for your portfolio. A portfolio demonstrates your skills to hiring managers. A strong portfolio can go a long way toward getting the job.  

Presenting your findings:

A significant element of working as a data analyst is presenting your findings to decision makers and other stakeholders in the company.. 

Get an entry-level data analyst job:  Start applying for entry-level data analysts jobs.

Consider certification and additional qualifications to advance your career:  Advanced degrees are not always required, but having one can open up more opportunities.

FEW INDUSTRIES BENEFITING FROM DATA ANALYTICS :

In a world that is driven by data, almost all industries are using Data Analytics to beat the competition in the market.   Below we share 5 domains where data analytics is used to reshape their fields.

1. RETAIL : In Ecommerce,  data plays a  crucial role  in providing valuable information  that can help boost their sales as well as improve customer satisfaction. Predictive data analysis can be critical in examining consumer patterns and buying preferences to devise marketing strategies and personalized campaigns for a better customer experience. Data analytics also allows organizations to keep tabs on changing trends and customer preferences, which gives them the means to update their business decisions accordingly. Retail organizations using data analytics gain a competitive edge in an industry over their competitors.

2. TRANSPORTATION AND TRAVEL: A vast amount of data is collected daily in the transportation sector while commuting from one place to another.   Using data analytics, the organizations are able to detect the most optimized routes, provide better fares to customers, improved service etc., Airways and railways use data analytics for ticket booking, system maintenance, and overall operations that help them in cost-cutting as well as providing improved services to their users.

3. HEALTHCARE AND MEDICINE: Data analytics in healthcare and medicine aims to deliver efficient services to patients. A large quantity of data is collected from patient who visits a healthcare facility on a daily basis. Data is collected, stored, and analysed by healthcare organisations and professionals, thus effectively reducing cost and providing better service to patients. It enables doctors the possibility of identifying risks before it may get complications.

4. BANKING : Data analysts by collecting and monitoring customers' data through online transactions and banking,  are able to customize their approach to be more personalized, and present them with offers and proposals that are more  interesting to the customers. Furthermore, data analytics also helps banks identify risk factor and prevent  default  payment,  by analyzing the financial history and health of their customers.

5. GOVERNMENT AND PUBLIC SECTOR: One sector that has a wide array of data at its disposal is the public sector. The government has been collecting data on people and continues to do so for various purposes. This data is vital in making decisions . Data analytics allows government organisations to store and manage this data effectively and gain valuable insight The government utilizes data analytics for security, transparency, minimizing fraud, reducing costs, better decision making, and much more. Data Analytics in the public sector has enormous applications that benefit the government as well as the public.

Conclusions:

As technology advances more and more data is accumulated, data analytics continues to grow. Data analytics has massive potential, and almost all fields and industries are leveraging it to reduce costs, streamline processes, and improve their services. Organizations across sectors are keen to include data scientists and analysts in their teams to give their companies an advantage over their competitors and stay ahead of the curve. Hope you liked the post.  For any details please contact eduJournal.

URL : www.edujournal.com

[charl0ttan]

*eyes welling up with tears* death and killing and dying and being dead and killing everyone. i think id like that very much

[wisteriagoesvroom]

got jumpscared by these ‘cus it looks like he is a junior analyst at an investment bank

from mclaren’s ig

[cuecrynsleep]

Smosh Video Stats from January 1 - June 30

Smosh Pit

Smosh Games

Smosh Overall

-Marathons weren’t included in the count as those were filmed in 2023.

-This is to recount how often we see Smosh members in half a year, despite this being made in August.

-The Smosh main announcement + Smosh sitcom trailer was included in the count.

-The count is based off of the desc. of who appears in every video.

-Lives and Members Exclusive videos aren’t included in the count.

-Angela & Chanse were credited for the tell-all episode of Smosh Mouth despite the desc. saying Amanda & Shayne.

[xyymath]

Why the Number Zero Changed Everything

Zero: a concept so foundational to modern mathematics, science, and technology that we often forget it wasn’t always there. Its presence in our world today seems obvious, but its journey from controversial abstraction to indispensable tool has shaped entire civilizations.

1. The Birth of Zero: A Revolutionary Idea

The concept of zero didn't exist in many ancient cultures. For example, the Greeks, despite their advancements in geometry and number theory, rejected the idea of a placeholder for nothingness. The Babylonians had a placeholder symbol (a space or two slashes) for zero, but they didn't treat it as a number. It wasn't until Indian mathematicians in the 5th century, like Brahmagupta, that zero was truly conceptualized and treated as a number with its own properties.

Zero was initially used as a place-holder in the decimal system, but soon evolved into a full-fledged number with mathematical properties, marking a huge leap in human cognition.

2. The Birth of Algebra

Imagine trying to solve equations like x + 5 = 0 without zero. With zero, algebra becomes solvable, opening up entire fields of study. Before zero’s arrival, solving equations involving unknowns was rudimentary, relying on geometric methods. The Indian mathematician Brahmagupta (again) was one of the first to establish rules for zero in algebraic operations, such as:

x + 0 = x (additive identity)

x × 0 = 0 (multiplicative property)

These properties allowed algebra to evolve into a system of abstract thought rather than just arithmetic, transforming the ways we understand equations, functions, and polynomials.

3. Calculus and Zero: A Relationship Built on Limits

Without zero, the foundation of calculus—limits, derivatives, and integrals—wouldn’t exist. The limit concept is intrinsically tied to approaching zero as a boundary. In differentiation, the derivative of a function f(x) is defined as:

f'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}

This limit process hinges on the ability to manipulate and conceptualize zero in infinitesimal quantities. Similarly, integrals, which form the backbone of area under curves and summation of continuous data, rely on summing infinitely small quantities—essentially working with zero.

Without the concept of zero, we wouldn’t have the means to rigorously define rates of change or accumulation, effectively stalling physics, engineering, and economics.

4. Zero and the Concept of Nothingness: The Philosophical Impact

Zero is more than just a number; it’s an idea that forces us to confront nothingness. Its acceptance was met with philosophical resistance in ancient times. How could "nothing" be real? How could nothing be useful in equations? But once mathematicians recognized zero as a number in its own right, it transformed entire philosophical discussions. It even challenged ideas in theology (e.g., the nature of creation and void).

In set theory, zero is the size of the empty set—the set that contains no elements. But without zero, there would be no way to express or manipulate sets of nothing. Thus, zero's philosophical acceptance paved the way for advanced theories in logic and mathematical foundations.

5. The Computing Revolution: Zero as a Binary Foundation

Fast forward to today. Every piece of digital technology—from computers to smartphones—relies on binary systems: sequences of 1s and 0s. These two digits are the fundamental building blocks of computer operations. The idea of Boolean algebra, where values are either true (1) or false (0), is deeply rooted in zero’s ability to represent "nothing" or "off."

The computational world relies on logical gates, where zero is interpreted as false, allowing us to build anything from a basic calculator to the complex AI systems that drive modern technology. Zero, in this context, is as important as one—and it's been essential in shaping the digital age.

6. Zero and Its Role in Modern Fields

In modern fields like physics and economics, zero plays a crucial role in explaining natural phenomena and building theories. For instance:

In physics, zero-point energy (the lowest possible energy state) describes phenomena in quantum mechanics and cosmology.

In economics, zero is the reference point for economic equilibrium, and the concept of "breaking even" relies on zero profit/loss.

Zero allows us to make sense of the world, whether we’re measuring the empty vacuum of space or examining the marginal cost of producing one more unit in economics.

7. The Mathematical Utility of Zero

Zero is essential in defining negative numbers. Without zero as the boundary between positive and negative values, our number system would collapse. The number line itself relies on zero as the anchor point, dividing positive and negative values. Vector spaces, a fundamental structure in linear algebra, depend on the concept of a zero vector as the additive identity.

The coordinate system and graphs we use to model data in statistics, geometry, and trigonometry would not function as we know them today. Without zero, there could be no Cartesian plane, and concepts like distance, midpoint, and slope would be incoherent.

[atomic47]

Im a bit late but I did a thing and made an Ao3 wrapped, I liked crunching the numbers :3

[j0shm0]

Currently in a "love"/"hate" relationship with James Vowels if all the reports coming out of the media about Logan and true right now.

You can scroll through my posts and see how good Logan has been doing all year.... especially when you consider his car never gets upgraded and has been way over weight compared to his competitors.

But what has James done since Bahrain? Nothing but talk crap to the media about Logan. Took his car away in Australia, constantly let's rumors fly and starts them about replacing him, spent all of his energy chasing Sainz and then gushing about him to anyone with a Mic.

Like damn James what the hell did you expect Logan to do? Further more the fact that he refuses to acknowledge Logan is indeed performing with a cement brick of a car is so sad.

Logan has crashed twice all year, which is a major improvement.

[turns-out-its-adhd]

AI exists and there's nothing any of us can do to change that.

If you have concerns about how AI is being/will be used the solution is not to abstain - it's to get involved.

Learn about it, practice utilising AI tools, understand it. Ignorance will not protect you, and putting your fingers in your ears going 'lalalala AI doesn't exist I don't acknowledge it' won't stop it from affecting your life.

The more the general population fears and misunderstands this technology, the less equipped they will be to resist its influence.

[saraharveypatrick]

Ninja, robots, pirates, magic

I made an interactive visualization on the 100 most popular comics at the Brooklyn Public Library for January 2025. The full 100 is also here on Medium. Top manga 1. Demon slayer = Kimetsu no yaiba Volume 1 by Koyoharu Gotoge, 2019 2. One piece by Eiichirō Oda, 2023 3. Spy x family. 1, Mission 1 by Tatsuya Endo, 2020 4. My hero academia. Vol. 1, Izuku Midoriya: Origin by Kōhei Horikoshi, 2015 5. Spy x family. Vol. 12 by Tatsuya Endō, 2024 6. Demon slayer. 23, Life shining across the years by Koyoharu Gotoge, 2021 7. Naruto. Vol. 1, The tests of the ninja by Masashi Kishimoto, 2023 8. Jujutsu kaisen. Volume 1, Ryomen Sukuna by Gege Akutami, 2019 9. Spy x family. Volume 11 by Tatsuya Endō, 2024 10. Dragon ball super. 1, Warriors from Universe 6! by Akira Toriyama, 2017

Top Marvel checkouts

Guardians of the Galaxy Volume 3, DVD, 2023

Ant-Man and the Wasp: Quantumania, DVD, 2023

Miles Morales, Straight out of Brooklyn by Saladin Ahmed, 2019

Black Panther: Wakanda Forever, DVD, 2021

Spider-Man: No Way Home, DVD, 2022

Doctor Strange in the Multiverse of Madness, DVD, 2022

Ms. Marvel. 1, No normal by G Willow Wilson, 2014

Spider-Man. Vol. 1, Miles Morales by Brian Michael Bendis, 2016

Thor: Love and Thunder, DVD, 2022

Other graphic novels

Heartstopper Volume 5 by Alice Oseman, 2023

Heartstopper Volume 2 by Alice Oseman, 2020

Heartstopper Volume 3 by Alice Oseman, 2021

Heartstopper Volume 4 by Alice Oseman, 2021

The Girl From the Sea by Molly Knox Ostertag, 2021

The Twisted Ones by Scott Cawthon, 2021

Five Nights at Freddy’s, Fazbear Frights, The Fourth Closet by Chris Hastings, 2022

Heartstopper Volume 1 by Alice Oseman, 2020

Five Nights at Freddy’s, Fazbear Frights, Graphic Novel Collection Vol. 1 by Scott Cawthon, 2022

The Princess and the Grilled Cheese Sandwich by Deya Muniz, 2023

[eggshellsareeat]

Big fan of @wouldyoufuckthisfurry, so here's an impromptu chart of the furries thus far!

Data disclaimer: this chart contains both ongoing polls and completed polls, and compares the two indiscriminately

[hackeocafe]

How To Learn Math for Machine Learning FAST (Even With Zero Math Background)

I dropped out of high school and managed to became an Applied Scientist at Amazon by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.