The Best Data Science Mentors you must follow!
With Data Science only growing exponentially every year, it is important for every data science enthusiast to stay in touch with leading data science mentors and data scientists in the industry to keep up with the rapid pace of growth. There are numerous data science mentors in the world today and they are taking their knowledge and sharing it with data science enthusiasts via different platforms like Kaggle, YouTube, GitHub, etc.
In this article, we’ll go over 5 such mentors you need to follow in your Data Science journey to keep your Data Science journey at the pace of the industry.
1. Dr. Rachael Tatman
2. Shashank Kalanithi
3. Parul Pandey
4. Giles McMullen-Klien
5. Abhishek Thakur
Dr. Rachael Tatman
In her own words on Kaggle,
“Hi! I’m one of the Data Scientists here at Kaggle. I do a lot things, including creating fun & informative data science content.
My background (and PhD) is in Linguistics and in particular Computational Sociolinguistics. I’m very excited about linguistic data, and have quite a bit of experience with both speech and text data. I’m a big fan of R (especially the Tidyverse) but use Python as well.”
Dr. Rachael Tatman’s tutorial on how to approach the Titanic Dataset for Machine Learning is probably one of the first YouTube videos anyone watches in their Data Science journey when Machine Learning gets involved. With the opportunities presented by the field of Machine Learning and her own expertise in NLP, Dr. Rachael Tatman is one of the most amazing mentors one can have in their Data Science journey.
On her YouTube channel, Dr. Rachael Tatman hosts different YouTube sessions covering live coding, coffee discussions, data challenges, and more, for everyone to benefit from. Subscribe to her YouTube if you haven’t already.
Apart from that, she’s a Kaggle Grandmaster in notebooks and datasets and a discussions expert. With too many feathers in her hat, she’s one to stay in touch with throughout your data science career.
Find the links for her YouTube channel and Kaggle profile below:
Shashank Kalanithi
With more than 90K subscribers on YouTube, Shashank Kalanithi is one of the world’s most renowned data analyst mentors that there are. With over 130 videos for individuals to learn from and weekly coffee sessions to clear the doubts of individuals all around the world, pertaining to data science and data analytics, he is one to have on your list of mentors.
His YouTube channel has content that covers the “ask a data analyst” series, meet the authors and mentors, coffee sessions, live coding sessions, etc., There’s content and resources along with many guided paths covered by him, from which every individual can benefit and learn from in the field of Data Science.
By joining him as a patron, one can access exclusive resources as well and one can also check out the courses posted by him on topics like Machine learning, on his website.
Find the link to his YouTube channel and his personal website below:
Parul Pandey
Parul Pandey is a Kaggle grandmaster with her very own articles being published on Medium and she also publishes an amazing newsletter, titled “Breaking the Jargons” which focuses on making Data Science more understandable for a larger audience.
Parul Pandey currently works as a Machine Learning Engineer at Weights & Biases. Prior to that, she worked as a Data Scientist at H2O.ai. Her aim is to combine data science and developer advocacy in her work. An author at medium and a very highly reputed woman in the world of Data Science, she offers a lot to anyone who wants to learn from her experience.
Currently, she’s co-authoring a book titled “Machine Learning in High-Risk Applications” and her website has all the details of her talks, meet-ups, and other workshops conducted by her.
Check out her website and Kaggle profiles as provided below:
Giles McMullen-Klien
One of the most famous YouTubers for Python and Data Science today — Giles McMullen-Klien a.k.a. Python programmer, has over 315000 subscribers and almost 280 videos on YouTube.
He shares resources and gives reviews of books, courses, etc. while teaching everyone different concepts relating to python, data science, and machine learning. One of the first to start such a channel, learning is never in the back seat when one follows Giles properly.
From a personal perspective, his honest reviews are one of the best ways one can decide to make a choice amongst the millions of choices that a data science enthusiast can take in terms of learning.
His community on Discord has a lot to share as well when it comes to resources pertaining to Python and Machine Learning.
Find the link to his YouTube channel below:
Abhishek Thakur
The list of the best mentors in Data Science cannot end without mentioning the world’s first kaggle quadruple grandmaster. Kaggle has been one of the most useful places for Data Scientists and one of the most used platforms for practical learning.
Abhishek Thakur’s quadruple grandmaster achievement leaves no stone unturned in providing high-level coding expertise to everyone around the world. He is also an author of a book relating to applied machine learning where he shows the different ways one can approach a machine learning problem in a pro-code way for anyone who wants to learn how to code properly, from the best that there is.
His YouTube channel boasts 72K+ subscribers and has videos that teach an audience about PyTorch, Keras, Deep Learning, Machine learning, Kaggle competitions, interviews, and other talk shows.
Find the link to his YouTube channel, LinkedIn profile, and Kaggle profile below:
Following even just one of the aforementioned mentors is adequate for anyone to find out all that they need to know about the latest developments in the field of Data Science as they occur.
The coffee sessions hosted especially by Dr. Rachael Tatman and Shashank Kalanithi take into consideration individual questions and will help you understand how the world of Data Science is progressing for everyone and will give you an insight on how you can go about solving your problems with the guidance of a real-world Data Scientist/Analyst.
Newsletters like ‘Breaking the Jargons’ are really useful for anyone venturing into the world of Data Science without a guided path.
Find out more about these mentors and check out all the content uploaded by them today and let me know in the comments below if you think someone else fits the role of being the best data science mentors all over the world.
For more such articles, stay tuned with us as we chart out paths on understanding data and coding and demystify other concepts related to Data Science. Please leave a review down in the comments.
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