Free Data Science Resources For Aspiring Data Scientists
Free Data Science Resources for aspiring Data Scientists: Theory, Programming, Portfolio Project Examples and Interview Preparation
If you an aspiring Data Scientist looking for specific resources in the form of blogs, videos, complete portfolio project examples and interview preparation tools, then this article is for you. Here I will share my most favourite resources, that will help you to enter the field smoothly!
After viewing hundreds of papers for my research, books, YouTube videos, courses, blogs etc here is my top resources for you to check out!
These are resources I used to learn various topics in Data Science and Analytics.Some of them are my own work sine i coulddn’t find any online,so I reaated them.
Some of them are suitable for people with no prior Data Science knowledge while some of them do require certain level of knowledge
What is amazing about these resources is that they are all FREE ☺️ and are all my personal and most preferred resources.
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How to Start a Career in Data Science
📚 Blogs
- freeCodeCamp (coding & DS theory: all levels)
- Fundamentals Of Statistics For Data Scientists and Analysts (Probability and Statistics Theory: beginner)
- Towards AI (Coding & DS Theory: all levels)
- Complete Guide to A/B Testing (Experimentation, Statistics and Python implementation: beginner)
📚 Youtube
- 3blue1brown (Math, Calculus, Machine Learning and Deep Learning Theory: all levels) https://www.youtube.com/c/3blue1brown
- Tina Huang (Career Tips) https://www.youtube.com/c/TinaHuang1
- StatQuest with Josh Starmer (Statistics and Machine Learning Theory: all levels) https://www.youtube.com/c/joshstarmer
- Programming with Mosh (Python Machine Learning: all levels) https://www.youtube.com/watchv=7eh4d6sabA0
- Jovian (Programming, Portfolio: all levels) https://www.youtube.com/c/JovianML
- TensorFlow (Machine Learning and Deep Learning Theory & Coding: all levels) https://www.youtube.com/c/TensorFlow Lex Fridman https://www.youtube.com/watch?v=O5xeyoRL95U (Deep Learning: advanced level)
- freeCodeCamp (Theory & Coding: all levels) https://www.youtube.com/c/Freecodecamp
📚 Data Science Interview Preparation
- Data Interview Pro https://www.youtube.com/c/DataInterviewPro
- StrataScratch https://lnkd.in/dGikXx4m
- LeetCode https://lnkd.in/gXv63ebx
- HackerRank https://lnkd.in/gAywRHs6
- Blog: HackerRank Interview Preparation https://takeitoutamber.medium.com/hackerrank-interview-questions-statistics-85439f1d36ad (Interview Preparation)
📚 Data Science Portfolio Projects
- DataCamp: How to build a great data science portfolio https://www.datacamp.com/blog/how-to-build-a-great-data-science-portfolio-with-examples
- Jovian: Must-Have Projects for your Data Science & ML Portfolio https://www.youtube.com/watch?v=vwrbhZVGjsQ
- Example Case Study: What makes Spotify Playlist successful (EDA and Simple ML: beginner) https://towardsdatascience.com/spotify-data-science-case-study-what-makes-a-playlist-successful-28fec482c523
- Example Large Research Project: Recommender Systems (advanced ML and NLP) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/LDA-LFM-New-Recommender
- Example Case Study: Movie Recommender System (ML) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/Movie_Recommender
- Example Case Study: Multivariate Case Study (PCA, CCA, FA) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/Multivariate-Statistics-Case-Study
- Example Case Study: Anomaly Detection (advanced ML) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/ML%20Based%20Anomaly%20Detection%20Case%20Study
- Example Case Study: Predicting Stock Prices with RNN (advanced: DL) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/Price-Prediction-RNN
- Example Case Study: Image Recognition with CNN (advanced: DL) https://github.com/TatevKaren/TatevKaren-data-science-portfolio/tree/main/Image-Recognition-CaseStudy
Do you have any resources that I didn’t mention in these lists? Do share them in the comments! I would love to check them out.
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About the Author — That’s Me!
Hello, fellow enthusiasts! I am Tatev, the person behind the insights and information shared in this blog. My journey in the vibrant world of Data Science and AI has been nothing short of incredible, and it’s a privilege to be able to share this wealth of knowledge with all of you.
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Feel free to connect; whether it’s to discuss the latest trends, seek career advice, or just to share your own exciting journey in this field. I believe in fostering a community where knowledge meets passion, and I’m always here to support and guide aspiring individuals in this vibrant industry.
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