Is Data Science For You? | Guide From a Professor

Рет қаралды 7,540

Күн бұрын

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...

Пікірлер: 29

@DSCV-YT 13 күн бұрын

🌟 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

@SpakrsWTZX Ай бұрын

If only half of my professors were as humble. This was thoroughly enjoyable. Much respect and very thank you!

@JosephRivera517 Ай бұрын

This is so true. What you know is never enough and will never be enough tomorrow.

@OmidMahdawi-pg6wg Ай бұрын

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. 😊

@MathPhysicsFunwithGus 2 ай бұрын

Amazing video thank you for sharing!

@DSCV-YT 2 ай бұрын

Glad you enjoyed it!

@januszinvest3769 2 ай бұрын

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.

@DSCV-YT 2 ай бұрын

I'm glad it was helpful!

@i_youtube_ Ай бұрын

Everybody quit this field must watch this. You will get the answer you are looking for. I got it.

@rasmusfoy 2 ай бұрын

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?

@DSCV-YT 2 ай бұрын

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!

@hajamohaideen4537 2 ай бұрын

Very nice

@DSCV-YT 2 ай бұрын

Thanks

@diegom2325 2 ай бұрын

Nice video ✅

@DSCV-YT 2 ай бұрын

Thanks! 😃

@manasseho 2 ай бұрын

This is really amazing, for the math aspect, do you need to be extremely good on Calculus?

@DSCV-YT 2 ай бұрын

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.

@manasseho 2 ай бұрын

@@DSCV-YT Thanks This answers my question

@jayaswati1505 2 ай бұрын

Hello from the 400th subscriber. I hope the tech journey i started this year will help me for better future.

@DSCV-YT 2 ай бұрын

Hello 400th subscriber! :) Welcome aboard and I hope you'll find my videos useful for your tech journey!

@Wechegabarney Ай бұрын

Hi. I will like to talk to you about a particular masters program i got admission for. Your input will be highly appreciated.

@i_youtube_ Ай бұрын

How to learn math the right way for data science and machine learning? Should it be the boring way like in school?

@DSCV-YT Ай бұрын

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!