Is Data Science For You? | Guide From a Professor
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- Опубликовано: 28 май 2024
- This video guides potential data scientists through six introspective questions designed to gauge their fit for the field. I stress the importance of a love for learning, dealing with messy data, embracing uncertainty, enjoying mathematics and coding, the ability to communicate findings clearly, and a commitment to the scientific method.
🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validat... 
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🌟 If you are an aspiring or early career data scientist and you need some career guidance, book a FREE 30-minute consultation with me today! calendly.com/ds-cross-validated/30min
If only half of my professors were as humble. This was thoroughly enjoyable. Much respect and very thank you!
This is so true. What you know is never enough and will never be enough tomorrow.
Thanks a million dear Professor ❤❤❤
You have brought about some of the most important questions one has to ask before making his decision. Really did I enjoy the content you have provided and will wait for more from you since I have already taken my steps to become a Data Scientist. 😊
Thanks for sharing your knowledge with us in such a comprehensible manner. It clarified a lot of points regarding what to expect from a data science position.
I'm glad it was helpful!
Amazing video thank you for sharing!
Glad you enjoyed it!
Thanks alot, that video removed a cloud from my head that needed answers :D.
Very nice
Thanks
Liked and subscribed!
I discovered that I love this field and am doing bootcamps to bridge the gap in technical knowledge in order to pivot to a DS role. I have a STEM background but no masters or PHD. I have a decade of experience in business, startups, e-commerce and real estate investing. Any tips for how to break in to the field?
Thanks for the like and subscribe!
I will be brutally honest with you. It will likely be pretty difficult to break into this field in today's job market. You could consider completing an online data science master's program that's geared towards non-data science professionals who can only study part-time to increase your chances. If you have solid python, R, and SQL skills, you could apply for internships too as a starting point.
Consider data analyst roles too!
Hello from the 400th subscriber. I hope the tech journey i started this year will help me for better future.
Hello 400th subscriber! :) Welcome aboard and I hope you'll find my videos useful for your tech journey!
Nice video ✅
Thanks! 😃
This is really amazing, for the math aspect, do you need to be extremely good on Calculus?
Calculus and linear algebra are the foundations required to understand most machine learning models and everything in deep learning. Not sure what you mean by 'extremely good' but you do need pretty solid math skills.
@@DSCV-YT Thanks
This answers my question
Hi. I will like to talk to you about a particular masters program i got admission for. Your input will be highly appreciated.
Everybody quit this field must watch this. You will get the answer you are looking for. I got it.
are there many people quitting?
How to learn math the right way for data science and machine learning? Should it be the boring way like in school?
Hahaha, I'm afraid so! There are some great online courses though. One great example is the math in ML specialization on deeplearning.ai. www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ Let me know if you know of a better way!
I'm considering a career transition from finance to data science. As a first step I intend to take a MS in this field, I'm 44 age old. Is this not a foolish idea?
It depends on your background. Most programs require you to have a pretty solid background in linear algebra, calculus, probability/statistics, and coding. There are also plenty of online and part-time master's programs dedicated for professionals who plan to transition into the field. Check those out!
@@DSCV-YTwhat’s the difference between data scientist vs. data analyst? My background is accounting. I do statistical data reporting such as monthly sales, statistics, etc. love working with excel, graph, 10 yrs data analysis, I pull data from the software manually no scheduled reports then compile them in excel spreadsheet. Sometimes I use power query to amend files/tabs. Am I considered data analyst?
One of my other videos is exactly about this topic: the difference between DS and DA! ruclips.net/video/MRDhD0W8WAw/видео.html If you check some data analyst job ads on e.g., LinkedIn, you'll see that you miss some important skills like python, SQL, powerBI, and tableau that data analysts often use.
@@DSCV-YT thank you. Will check it out. Appreciate your videos. Is PowerBI a dashboard for management view? Can I extract data from PowerBI like I currently extract data from the EHR (electronic healthcare records) software? Then clean the data and use excel functions to compile the statistical report. Instead of manually extract the data, what other options can I have? How can i utilize SQL in my case? I used to do html coding before.
Uff, tough questions! I'd need to know much more about what exactly you do to answer these questions with confidence.
Machine learning for me
Sir Why don't u join any company?
I enjoy teaching and working with the students.
@@DSCV-YT that is amazing.
its called "Follow the passion" along with Updated Tech ! exact quality a professor needs
Data scientist vs ml vs mlops job team structure team members size projects length average company size