Data Analytics vs Data Science

Are you interested in data science? And have you heard of data analytics, but aren't sure how they're different? In this video, Martin Keen explains that while data science and data analytics are often used interchangeably, they have distinct roles. In terms of job roles, he covers the tools and practices of data scientists and contrast them with those of data analysts.

[KabirrVani]

Data analytics involves examining data to extract meaningful insights, while data science encompasses a wider scope, including data collection, cleaning, analysis, and machine learning modeling for predictive insights and decision-making.

[ambikeya_tech]

Great comparison! Data Analytics provides insights for informed decisions, while Data Science builds predictive models. Both are crucial in leveraging data to drive business success.

[blessingiwerumor]

Thanks for the explanation, been a bit frustrated but these explanations has helped

[priusskipper]

Thanks for this. I’m a frustrated biologist in the cosmetics industry and I’m looking to leave to do data science or analytics. It seems DA is faster to achieve this goal. Then learn DS as I go along.

[Thehouse]

That first minute was the most regrettable minute of my week. “Someone who works in data science is a data scientist” - incredible content.

[Cognixor]

Very interesting, nd thanks for your explanation, however rarely a typical data analysts, BI, or analytics professionals go beyond descriptive analytics and when they do, they use much simpler predictive models to forecast trends and behaviors. And while some data analysts might delve into prescriptive analytics, it's less common as it typically requires more advanced statistical and machine learning expertise that often a typical business analysts, data analyst, BI or analytics professionals don't have. No?

[goldensleeves]

I guess I don’t know what I really am. I use python, SQL, and R. I predict and maintain inventory. I use python to build automated PDF and excel reports for a nationwide company. But I don’t do much machine learning. Am I a data scientist who just doesn’t implement much machine leaning or is ML a requirement of a data scientist? I do know some ML i just don’t use it in this company.

[curvar]

Thanks for this simple+detailed explanation (also by the examples)!

[aryniris]

Thanks for the explanation! Had to watch twice because the first time I was too focused on figuring out if you were editing yourself to look like you were writing or if you're actually writing backwards 🥲

[joepapa]

thanks for the explanation very apt and clear, very helpfull have been thinking of which to have first to add to my accounting and auditing profession.

[bobanmilisavljevic]

Great motivation to learn more SQL today!
💪🧙‍♂️🌌⌨️

[priyadarshieeankitaguddy]

Thanks for explanation its very clear & now a day datascience & Analytics both have a great future nd involves data to build models predict the future while analytics focus more on analysing the past data to inform decision in present.So career in data science is challenging & stimulating to solveproblems which makes a real impact of business & society.This type of work is highly fulfilling demands .In data science the import of work on the organization & society is most of all important.And the main responsiobilities & role is to focus on predictive models & solving complex data problem we can say that, while in data analyzing process, it provide more analyze historical data to provide immediate decesion making.Thankyou😊 & have a nyc day ....

[apamwamba]

Cool. Very clear explanation. I would say data analytics mostly require Database skills [SQL] and a data BI tool like POWERBI. Python is a plus.

[RedJoker]

I hate I did Computer Science, a lot of my life (even as kid) I liked working and doing data. (At times I did my father's data work) yet attempting to get a professional job, no one will give me a chance. I can get a job in other things easy due to doing STEM. However what I want (Data Analyst) I get ghosted or deny. Closest I got was Data Entry.

[marcus_b]

Definitely as the world gets more complicated in regards to the need to deliver goods and/or services locally and globally the ability to harness data in a strategic manner only becomes more important. The platforms that a person or company develops will be the lifeblood and cash cow of that organization or person as well. And as IoT grows not only on Earth but possibly interplanetary soon, it may be just as beneficial to sell the shovel and pick as it is to sell rights to the mountains. Definitely a new and exciting frontier.

[lekanfagbuyi]

Good explanation as always. Thanks for sharing

[jaykrown]

Great explanation and helpful in reinforcing my understanding. I'm glad I'm focusing on data analytics.

[Puzzlepieces]

What platforms would you guys recommend for a complete beginner to learn this and possibly get a job within these fields in the future

[Timmy_]

I have A Data Science certificate by IBM ❤

[dineshtamilan]

Amazing explaination, well done, thanks alot