Not sure how to begin or advance your data science career? Don’t worry!! In this video, I have covered the best data science courses of 2022 which can help you gain industry-relevant skills and experience. Link to one of the best course – https://bit.ly/3pAKM78.
Link to free Data Science masterclass by top data scientists – https://bit.ly/36O7FgU.
How She Got into Columbia University | VIT Vellore to Masters in Data Science: https://youtu.be/nUYYyRolmD8
HOW TO BECOME A DATA SCIENTIST | Highest Paid Job in 2020?!: https://youtu.be/rS8PKuQ_drg
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Fundamentals
1. Linear Algebra Freecodecamp: https://www.youtube.com/watch?v=JnTa9XtvmfI
2. Linear Algebra MIT OCW: https://www.youtube.com/watch?v=7UJ4CFRGd-U&list=PL221E2BBF13BECF6C
3. Linear Algebra 3 Blue 1 Brown: https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
4. Probability and Stats: https://www.youtube.com/watch?v=j9WZyLZCBzs&list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8
IBM Data Science Course: https://www.coursera.org/professional-certificates/ibm-data-science
Google Data Analytics Course: https://www.coursera.org/professional-certificates/google-data-analytics
John Hopkins Data Science Course: https://www.coursera.org/specializations/jhu-data-science
Daniel Bourke: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ/videos
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Timestamps
0:00 Scope of Data Science
1:35 Salary of a Data Scientist
2:50 Free Data Science Masterclasses by Scaler Academy[Sponsored]
4:00 Learn Maths before Data Science
5:10 Free MIT Harvard Courses
5:40 Free Coursera Data Science Courses
8:51 Comment “I watched till the end!”
Data Science has evolved tremendously in recent years and will continue to do so in the future as well. Data scientists are always in demand since as long as there is data, there has to be a way to organise it and make use of it. Let’s be real. Data science is not a destination but a journey, and tackling the process with that mindset might make the process more enjoyable. As the data domain is rapidly changing, I feel it is important to evaluate different data science courses and programs that are present out there.
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