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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!
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.
How to Start a Career in Data Science
LunarTech.ai published at FreeCodeCamp
[freeCodeCamp.org
Learn to Code - For Freefreecodecamp.org](https://www.freecodecamp.org/learn "freecodecamp.org/learn")
[Fundamentals Of Statistics For Data Scientists and Data Analysts
Key statistical concepts for your data science or data analytics journeytowardsdatascience.com](https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7 "towardsdatascience.com/fundamentals-of-stat..")
[Towards AI
Welcome to Towards AI The world's leading AI community and content platform making AI accessible to all Updates on…towardsai.net](https://towardsai.net "towardsai.net")
[Simple and Complete Guide to A/B Testing
End-to-end A/B testing for your Data Science experiments for non-technical and technical specialists with examples and…towardsdatascience.com](https://towardsdatascience.com/simple-and-complet-guide-to-a-b-testing-c34154d0ce5a "towardsdatascience.com/simple-and-complet-g..")
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.
[Understanding Bias-Variance Trade-Off, Overfitting and Regularization in Machine Learning
Introduction to bias-variance trade-off, overfitting & how to solve overfitting using regularization: Ridge and Lasso…towardsdatascience.com](https://towardsdatascience.com/bias-variance-trade-off-overfitting-regularization-in-machine-learning-d79c6d8f20b4 "towardsdatascience.com/bias-variance-trade-..")
[Data Sampling Methods in Python
A ready-to-run code with different data sampling techniques to create a random and representative sample in Pythontowardsdatascience.com](https://towardsdatascience.com/data-sampling-methods-in-python-a4400628ea1b "towardsdatascience.com/data-sampling-method..")
[Complete Guide to Linear Regression
Everything you need to know about the simplest yet the most popular Machine Learning regression modelpub.towardsai.net](https://pub.towardsai.net/complete-guide-to-linear-regression-86c5eddb7eda "pub.towardsai.net/complete-guide-to-linear-..")
[How to Crack Spotify Data Science Onsite Interview
End-to-end Data Science Case Study to Crack Spotify Onsite Interview with Tips and Python Implementationtowardsdatascience.com](https://towardsdatascience.com/spotify-data-science-case-study-what-makes-a-playlist-successful-28fec482c523 "towardsdatascience.com/spotify-data-science..")
[Essential Statistical Tests For Statistical Significance in Machine Learning
Must know statistical tests for testing statistical significance of features in Regression Model: One-sided & Two-sided…pub.towardsai.net](https://pub.towardsai.net/essential-statistical-tests-for-statistical-significance-in-machine-learning-78298295648f "pub.towardsai.net/essential-statistical-tes..")
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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