Here are some of the best YouTubers working in the data science field to learn more about the tech industry and data science career path
While roughly 55% of university graduates across the country are women, only 2/3 of this pool pursue a career in a STEM-related field. According to various surveys from WEF, Global Gender Gap Report, and BCG Research, only 15% to 22% of all Data Science professionals are women. A prominant reason for this is the learning environment and social belief system, especially starting in high school, can affect women’s progress and career choices.
As a woman planning to pursue data science, aware of these social biases, there is a strong reason why I love women who document and share their experiences in STEM fields. Not only does it show how possible it is to be successful in this field, but it provides women support and motivation throughout the process of pursuing their STEM careers.
Here’s a list of 6 of my favorite data science YouTubers that I find myself going back to very often as an undergraduate student studying data science. All of them answer the most asked questions about the data science field and are informative about the tasks and roles they carry out in their job.
1. The Almost Astrophysicist
Priya graduated from UChicago with a degree in Physics and is currently working at a tech startup acquired by Uber. She makes a lot of educational videos on her channel talking about College Guides, Physics, Lifestyle, and her current experience as a Data Scientist. She has a playlist called "the data life ✨💻 " where she talks about her experiences, technical role/project details, and interview processes for data science.
2. Anastasia K
Anastasia is a data scientist at Spotify working from Sweden and she makes videos mostly about lifestyle, data science, and tech. You can expect to see many day-in-the-life videos as a data scientist, statistics, tools to leverage you as a data scientist, her story of becoming a data scientist, and what the role consists of. Her videos are great for understanding what everyday life is like for a data scientist, so you will definitely know more about what to expect.
3. Tina Huang
Tina was a data scientist working at FAANG and she makes videos about tech, career, productivity, and lifestyle. She talks a lot about her experience as a data scientist at FAANG and how she landed her data scientist role. Her productivity and self-study videos often go hand in hand with learning to become a data scientist and are applicable to other careers as well. Though she recently quit her job at FAANG, she is working on making more videos about how to learn and become a data scientist, so these technical details will definitely help you along your journey because part of data science is self-studying and constantly learning about new things.
4. Sundas Khalid
Sundas is a self-taught data scientist working at FAANG. All her videos revolve around data science, tech, and career tips. She talks about her process of self-teaching herself data science with a Business degree background, tech interviews, and everything you need to know about data science. Sundas also has an Instagram account where she shares career, finance, and data science tips on a regular basis and it serves as a great community for many women in STEM to come together and connect.
5. Damsel in Data
Damsel in Data talks about her data science career story, data science interviews, and everything you need to know about data science in a humorous, fun way. She also makes videos about the resources that would help you become a data scientist and the data science industry itself. Damsel in Data also has an Instagram account where she makes a lot of amusing, ecsatic, and informative reels related to data science and working in the tech industry.
6. Cassie Kozyrkov
Cassie is the Chief Decision Scientist at Google. She is not a data science-specific YouTuber but she makes videos about Statistical concepts and Machine Learning which are both very important to data science. She is a thorough instructor and makes machine learning concepts easy to understand fundamentally. I fell even more in love with Statistics after watching her videos and she’s a source of inspiration and guidance when I am struggling with machine learning-related concepts.
I hope these are helpful to your search for data scientist YouTubers!
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