Should You Still Learn Data Analytics? (in 2024)

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🔑 TIMESTAMPS
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0:00 - Intro
1:15 - AI will make Data Analytics ”sexy” again
3:23 - CourseraPlus discount
4:13 - Will AI replace data analysts?
8:07 - Importance of domain knowledge
9:31 - Easier entry for beginners or mid-career transition
11:53 - Conclusions

👩🏻‍💻 COURSES & RESOURCES
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🙋🏻‍♀️ LET'S CONNECT!
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#datascience #ThuVu #dataanalytics

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Too old for college? No such thing. I just completed an MS in Data Science at 65. Never stop learning. Those who did are now the ones in trouble.

ScottSummerill

You know, I used to be a cruise ship waiter for 5 yrs and working in the hospitality restaurant industry for 7 years. I just started a new bachelor abroad with business information systems. I thought I am late to study it but made me realize i have domain knowledge and a bachelor degree in my previous industry and i can combine them both!!

secretnobody

I have 15 years in HR/Talent Acquisition. Im excited to go back to school. Already having experience in the business and leading global teams I think will be a benefit for me after I finish my schooling.

alyssaharvey

I love your analogy about learning how to drive even if there are self-driving cars. As always, very insightful video.

GalOneFive

Absolutely! Data analytics skills remain vital in today's data-driven world. They empower decision-making, uncover insights, and drive innovation across industries.

ambikeya_tech

I think with me being in Supply Chain for 23yrs . Starting as a Warehouse Clerk, Learning Various Styles of Forklifts, and Cranes, Inventory, Picking, Packing, Shipping, to being in charge people as a Team Leader, to Inventory Control, some Purchasing to now Sales of parts. I think Data Analysis is the Latest Frontier for me, and no brainer after all I have been practing for 23yrs on a more manual level. I have taken some excel, sql, python, tableau, and I have been working in Power BI for a year, but had learned how to use it before I had to work with it. I have built a database in college for a non profit for my internship. Its probably the best option for me to move into. What do you guys think?

gunix

Agree with you.
But would add that jobs will be created to cope with "AI Overload".
AI is going to embedded into almost every piece of software and will be offering unsolicited advice.
Management will be overwhelmed by the amount of AI generated suggestions that it will need to hire people they can ask:
"AI says this, what do you think?".
Examples:
1. AI generated this logo, as an artist what do you think?
2. AI suggests we finance our expansion with more debt, as an accountant what do you think?
3. AI suggests we can save money be centralizing our thermostat function and intelligently dispatching heating/cooing requests to different HVAC units, what do you think?
4. Alexa just said it might be time to reorder coffee for the break room, what do you think?
5. AI suggests that we change our advertising and promotion budget, as a marketing specialist what do you think?

jimcallahan

Hi! I totally agree that in the future, we will have more work thanks to AI. We will always have more needs that need to be satisfied, and that has been a pattern throughout history. In the past, when almost the entire population was focused on agriculture, the invention of the steam machine only gave us the possibility to think about new problems. We will always have new problems to solve, and that is limitless. Finally, as you said, it is important to be flexible and have the capability to adapt to different circumstances. Thank you very much!

danielgrgurevic

This is one of the best videos I've watched on the impact of AI. I'm so glad you brought up that paper by Daron Acemoglu since I'm reading his book "Power and Progress", where he talks about the impact of technology on the workforce, and that it should create new tasks for humans. Progress should be measured by how any new technology enables humans to flourish. I like the nuance in this video, rather than painting either a gloomy picture or an overly optimistic view. Thanks.

karenzhou

Only a question of time until AI assumes a lot of tasks. Data analysis surely can be done completely on autopilot as soon the engine learns how to do it. A lot of Craft can also be done by machines and robots for example welding.

JohnDoe-fzhz

Thanks for sharing this with your viewers! 😃

coursera

I Like the self driving cars analogy. Thank you Thu Vu.

rexhua

It has always been about domain knowledge and critical thinking. Everything between your question or problem and the answer/insight was and is a friction. And this "in-between" has been technical requirements to take you from A to B, but it is not the goal. So anything that helps to remove or minimize friction is good.

vlkhvan

IMO one of the best videos to give an updated overview on data analytics future and what matters the most, which is to learn the business values

vkings