Data Analytics vs Data Science

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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.
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[@blessingiwerumor5390]

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

[@curva130r]

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

[@joepapa52]

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.

[@lekanfagbuyi7963]

Good explanation as always. Thanks for sharing

[@marcus_b1]

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.

[@amiteshtomar9171]

Very well explained, thank you so much 🙏

[@jeremycompton3010]

What a brilliant clip. Thanks. Clearly and helpfully explained.

[@christopher6267]

This whiteboard setup is so nice

[@vanithamani-es1pl]

Yer7

[@ft.rehman]

Are you sure this is whiteboard

[@tadmarshall2739]

Nice video, well presented and useful. Thanks!

[@bobanmilisavljevic7857]

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

[@phamngocongthi5174]

great video great explanation, thank you

[@heba77777]

Thanx for clear explanation

[@linegenevievemichaud6739]

Very interesting 👌

[@SothearithKONGMrMuyKhmer]

Thank you for this comprehensive explanation! ☺️

[@nythonvaiaa]

Good explanation . Take love from Nython vaiaa

[@mimamila338]

could you do a video explaining each IT fields.

[@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.

[@ahmad1239112]

Thanks sir

[@Hopefulnezz]

Thank you!

[@priyadarshieeankitaguddy1893]

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 ....

[@dominiquecoladon8343]

Well done

[@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?

[@jamiebrunton2000]

I’m very keen on going into behavioural insights and nudging. I am awful at maths though, have a marketing degree at undergrad, and want to do a masters. What do you think I should study further to get into this role? I also really hope the role isn’t so maths focused, and is simpler in terms of data analysis (because I have done that in my course for my dissertation, etc), and want to design and implement and then test nudging strategies. I’m getting mixed answers on whether it’s even part of the job. Any help is appreciated! 😊

[@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.

[@stewartongko2507]

same here i'm a frustrated scientist in food industry

[@tomassarmir3750]

@@stewartongko2507 I am in this path since April of this year... Is not easy at all.. is actually pretty hard.. and there is lot of pitfalls among the way.. Invested more than 1000 hours of very concentrated learning and now just going from interview to another to get my first job.. getting better but still did not landed job.. Its a cool industry but its hard as ....

[@lavatr8322]

I'm a 3D artist, although it's fulfilling to do that.... The salary is RUBBISH. And I have realised very late in my life how important finances are. So I'm looking at IT Industry now... But then again idk how this Data Science and Analytics BOOM gonna last long....

[@priusskipper]

@@lavatr8322 ooh. I think you’ll do great as a data scientist. I just started IBM’s Data Scientist certificate on Coursea and telling the story of data seems to be the key part of it. Visualization of data and its story is the endgame.

[@purplecrayon7281]

You can just concentrate on learning Python and SQL to an advance level, and a lot more opportunities will be open to you, whether it be DS. DA, or something differently entirely.

[@rabiuauwalu8964]

It's a nice presentation

[@sepehrsafdari5949]

Just Amazing !!!!!! Tnx ......

[@zkproduction2718]

Well I think data is the new oil

[@lorenzocavallon7343]

I understand what you mean but it’s a misleading analogy. Data is abundant and progressively increasing, while oil is a limited resource. In the case of oil, the cost of final products is mainly influenced by its extraction cost (together with shipping), rather than refinement. In the case of data, it comes with almost zero cost in both ‘extracting’ and transferring. What really costs in data is ‘refinement’ to have an AI product…

[@XshadowKingX]

We are the data

[@anonymos59]

Welcome to the Information Revolution

[@lavatr8322]

Wait a sec , in simple terms , should I switch to Data Science/Analytics as a career ??? And how would this look like in next 5years

[@suhailmall98]

You say that as if you're the first person to do so

[@AnalyticsAlchemy-nq3kq]

Nice info

[@Thehouse385]

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

[@Puzzlepieces404]

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

[@lydia-tr3xn]

udemy courser and also there is this KZbin channel that gives fundamentals about data science called Alex the analyst good luck

[@mugomuiruri2313]

good.see you from Africa

[@Timmy_1011]

I have A Data Science certificate by IBM ❤

[@RedJoker9000]

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.

[@user-rb8sp6iv4y]

Красиво делаешь братанчик. Продолжай в том же духе)

[@thornimation5492]

3:29 - Start of 'Data Analytics'

[@user-mc1yr4xe5q]

cool video)

[@yaredhailu4750]

That's great explanation thanks for your tremendous help In the meantime what's your thought regarding AI taking over people's job and make them jobless?

[@justwanderin847]

We DO NOT need Government to regulate Computer Programming (AI). Big media and big government are just trying to scare people into giving up their liberty for some faux safety.

[@kaizerbyparthpratyush217]

Most job that requires repetition will be taken over by AI or at least heavily assisted by AI. It will mostly effect low level jobs, such as entry-level roles. I just graduates with a marketing degree and I can confirm that within next 10 years most of the marketing task will be done by AI. and some tasks are already AI assisted, e.g. - copy writing, blog posts, creating marketing creatives and etc. so I l would say most its better to learn something in tech like - DATA SCIENCE, SOFTWEAR ENGINEERING, CYBER SECURITY OR EVEN GAME DESIGN (specialized in AR/VR development), or some sort of engineering like Civil, to be future safe.

[@efraimjulianrangga]

Other need to exploration is terms of data steward vs data custodian

[@user-hj2py6xb1u]

in the end what does he mean by keep it in stock i want that stuff out of stock

[@suhailahameds3967]

Nice

[@ericjmorey]

The Data Science Lifecycle seems to be exactly the same as the Data Analytics Lifecycle that is taught as part of Data Analytics Masters Degree programs including Georgia Tech's Master of Science in Analytics and others. So while this may be the distinction made internally at IBM, it seems clear that the terms Data Science and Data Analytics are generally interchangeable as umbrella terms. Take this video with a grain of salt unless applying specifically to IBM's internal purposes.

[@lydia-tr3xn]

hi so it is not worth switching to a data science course if we do not have the intention to apply for an IBMs later on ? I myself have done a pharmacy degree and I would like to learn data analytics to work as a freelancer and also I think it would help me improve my thinking and decision skills later on if I want to launch my business later on I would genuinely look for you opinion

[@wilhelmvanbabbenburg8443]

This is so because they don't do a good job in refining the work that needs to be done in the ds life cycle. This explanation is misleading for people that want to make a career out of it. This is the problem with the wide spread adoption of this field. The roles and titles are not well defined yet.

[@granturismo176]

Tell that to HR and all the hiring managers.

[@Pacador]

Good information! But the used definition of Data Mining is not correct.

[@deathlife2414]

Thanks for this gold coin.

[@midshiptom]

A lot of companies are liberally calling Data Science (Scientist) and Analytics (analyst) interchangeably. Data analyst roles in the US require SQL and Python and there are hardly true data analytics position anymore.

[@dominicbravoclips1264]

is it possible for companies to hire me if I have degree in electrical engineering but only online certificate on data science?

[@cm-a-jivheshchoudhari9418]

No, But to clearfy your degree in electrical engineering dosent matter, nor does that certificate u earned from coursera or worse. Its the Skills, How good u are at the job.

[@dominicbravoclips1264]

@@cm-a-jivheshchoudhari9418 does my skills on engineering math count? we cover algebra, differential and integral calculus, defirrential equations, engineering data analysis, statistics and probability, engineering economy and we have python programming and matlab language. does my degree in engineering doesnt have weigh?

[@kartik8704]

@@cm-a-jivheshchoudhari9418 That is quite a didactic answer, don't you think? How would I substantiate my skills when that is not my educational background? I would understand if you said that after getting a certificate on a platform like coursera, it would help to carry out a project of your own that you can display on your portfolio to show that you picked up the right skills from the course...

[@lydia-tr3xn]

@@cm-a-jivheshchoudhari9418 so if you have the skills the institute u learned from doesn't matter ?

[@raza2594]

Yes, but you need projects to show your work and understanding of the subject. It's harder to get a job in data science with a non-relevant degree, but not impossible.

[@user-gh5lg6dw9q]

3:45

[@happymsiska2359]

Only a data analyst may argue..

[@FrancisBuberwa]

good

[@anandviswanath2319]

What about data engineering?

[@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.

[@Pankaj_Khanal_Joshi]

I want to study mathematics for ML and AI Plus call ML algorithms. My motto is to do research in AI ML. Pls guide me I don't hv sufficient materials. I have 10 yrs of coding background

[@nrk07]

Watched a video titled - 5 math skills every programmer needs by Sahil and Sarra on KZbin. In which he mentioned Combination, Logarithm, Factorial, Exponentials and Modulus.

[@daithiocoinnigh]

A wild homebrewer appears

[@Ejb5154]

Where do data engineers fall? Somewhere in between?

[@repriser9876]

Not quite. Using R etc. you need to know statistical analysis. Data Analyst also needs the business knowledge on the particular data.

[@etobillion7805]

which pays more? that's my only interest

[@raza2594]

Data science pays more in general, but I would suggest first seeing what recruiters are looking for most (doesn't matter if you want to work as a Data scientist if no one's hiring), seeing what you like (to avoid burnout after a year) and finally consider that Data science jobs are harder to get than Data analysts, and you can pivot from a data analytics position to a data science one. I've seen about half of the required skills for the data scientist mentioned here also be extremely important for data analysts, so those two are not as different as tou might think. Different jobs will have different requirements for data analysts or scientists and the line gets a little blurry.

[@afsah0one]

👍🏻

[@wyphonema4024]

Data Analytics job requirements Now is excatly anything you said about data science.

[@TheDandelionMind]

I'm glad I'm not the only one that thought this, otherwise I think every analyst I've known is a Data Scientist by this definition.

[@bunnihilator]

So is Data Scientist a Data Engineer?

[@mrTop-ik6zt]

No, a data engineer is focussed on the getting the data in the right places, handling large volumes of data, cleaning data, pre-processing data, deploying models made by data scientists on cloud services. A data scientists does everything said in the video, the 7 steps. If you can do both roles you can become a 'machine learning engineer', who can collect data, handle it, model the data, deploy the model to end users. This is called an end-to-end solution, he can do everything on his own.

[@wilhelmvanbabbenburg8443]

This is misleading. If you think that the DS lifecycle is a single job, you are set up for failure if you want to implement something like this in industry. Is not a one man job.

[@faithmoses2866]

FOREVER LIVING PRODUCTS NOW ON DATA SCIENCE FOR OUR HEALTH PRODUCTS GLOBAL SALE.!

[@elextinto]

Hola

[@user-bg3qy9zi7v]

I’m currently in a boot camp to become a full stack developer. I’d like to find a role to help me get my foot into tech before graduating. If I have 0 tech experience and no degree, is it possible to get a role as a data analyst? If not, any role you would recommend I start with? I am currently a sales manager making over 100k and can’t take on a role that pays me less than 80k. Any other insights is appreciated

[@lydia-tr3xn]

what are you studying at uni if you do not mind me asking

[@emmanuelbaah1445]

​@lydia-tr3xn does data analysis involves coding and is ut difficult to study

[@elextinto]

😎

[@HaiderAli-yw1zh]

First

[@timianalytics7150]

"The more video I watch the more confused I get"

[@lng1801]

How do you even write like that

[@Bran1812]

Is there a real glass there?

[@TheDoomer666]

you asking the real questions, sometimes it looks like he draws the arrows and then words appear magically, but other times not even the arrows are drawn, like at 2:34, so I'm confused

[@AhmedKhan-rt6oz]

Data scraping

[@burburchacha]

not sure why these days data analytics ppl like to make themselves sound like data scientists LOL kinda cringe actually

[@FoxyPlays7968]

[@wolfzbyte]

Huh... I do both at my job 🫠

[@TheDandelionMind]

Yeah I honestly don't think this video is correct but maybe it is for wherever in the world they are.