Explore analytics tools and solutions → https://ibm.biz/BdSPGc
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.
Get started for free on IBM Cloud → https://ibm.biz/sign-up-now
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
source
20 Comments
@gigachu9047 · October 16, 2026 at 5:10 am
Hi, I'm confused as to which path i should take, kindly guide me anyone, I'm currently in my 3rd year of university as an AI&ML student but after finding things like coding a bit challenging, data science is appearing to me as challenging, and I have to apply for an internship soon like within 8 months, what should I, should I go with Science or change to analytics?
@anthony..23 · October 16, 2026 at 5:10 am
Gracias
@Dragon_Master_784 · October 16, 2026 at 5:10 am
Most importantly, which makes more money?
@kavitha.ramaswamy · October 16, 2026 at 5:10 am
I couldn't reliably access this video's actual content from the link, so I don’t want to invent a comment that pretends I watched it.
@nikhilcreates9 · October 16, 2026 at 5:10 am
Great content—learned something new today, thanks for sharing! 👏
@yashexplores01 · October 16, 2026 at 5:10 am
Excellent explanation—clear, engaging, and packed with useful insights. 👍
@ShahzodMavlonov-z8c · October 16, 2026 at 5:10 am
useless video
@SandeliusVanconey · October 16, 2026 at 5:10 am
Amazing content! 🚀
@SandeliusVanconey · October 16, 2026 at 5:10 am
Super helpful! 🙌
@voilAnalytics · October 16, 2026 at 5:10 am
Want to understand the difference between Digital Analytics and Data Analytics and how they impact careers, tools, and business decisions? 📊
Check out this video for a clear breakdown 👇
https://www.youtube.com/watch?v=AViekfKZHt8
It’s a great watch if you’re interested in marketing, data, or analytics. 🚀
@EmmettCrawford-r9g · October 16, 2026 at 5:10 am
Very well explained, thanks.
@BogdanManole-h4t · October 16, 2026 at 5:10 am
I love this channel.
@dedicategrinder88 · October 16, 2026 at 5:10 am
I remember seeing this months ago for deciding
5/10/25
28/1/26
@EdithFloyd-x4i · October 16, 2026 at 5:10 am
This exceeded every expectation I had!
@DataSchoolMS27 · October 16, 2026 at 5:10 am
Informative
@thisismm1907 · October 16, 2026 at 5:10 am
is he writing everything in reverse 😮
@TechHacks-No1 · October 16, 2026 at 5:10 am
Great insights! Thanks.
@DhwaniBhadiyadra · October 16, 2026 at 5:10 am
Good explanation, but honestly job postings right now are having a universal expectations from person applying for Data Science/Data Analytics. Majority of the companies want everything from one person. Idk if its me or other can also relate to this
@faizs9676 · October 16, 2026 at 5:10 am
Data Science = Statistics
Data Analytics = "SQL"
@abiofficial-ws7pn · October 16, 2026 at 5:10 am
Kinda stressed out right now, and needed a soothing voice to listen to. So, I saw Martin Keen on the thumbnail, and clicked at lightning speed.