20/02/2025
๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ ๐บ๐ฎ๐๐๐ถ๐๐ฒ ๐ฏ๐๐ ๐๐ผ๐ ๐ผ๐ป๐น๐ ๐ป๐ฒ๐ฒ๐ฑ ๐๐ต๐ฒ๐๐ฒ ๐ฒ๐๐๐ฒ๐ป๐๐ถ๐ฎ๐น ๐๐ธ๐ถ๐น๐น๐
You donโt need 100s of courses or a PhD to master Data Science.
Hereโs a structured roadmap with top free resources to learn everything step by step.
๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
โณ Key Topics: Classification, Regression, Reinforcement Learning, Deep Learning, Clustering, Dimensionality Reduction
โณ Resource: Andrew Ngโs CS229 -
https://cs229.stanford.edu?wt.mc_id=studentamb_360801
๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐
โณ Key Topics: Feature Engineering, Data Wrangling, Exploratory Data Analysis (EDA)
โณ Resource: MITโs 6.0002 - https://ocw.mit.edu/courses/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/?wt.mc_id=studentamb_360801
๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐
โณ Key Topics: Statistics, Linear Algebra, Differential Calculus
โณ Resource: Khan Academyโs Linear Algebra - https://www.khanacademy.org/math/linear-algebra?wt.mc_id=studentamb_360801
๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ๐
โณ Key Tools: Python, R, Java
โณ Resource: Python for Data Science by Harvard - http://cs109.org/?wt.mc_id=studentamb_360801
๐๐ฎ๐๐ฎ ๐ฉ๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป
โณ Key Tools: Tableau, Power BI, Matplotlib, Seaborn
โณ Resource: Data Visualization by UC Berkeley - https://www.edx.org/learn/data-visualization/tsinghua-university-shu-ju-ke-shi-hua-data-visualization?wt.mc_id=studentamb_360801
๐ช๐ฒ๐ฏ ๐ฆ๐ฐ๐ฟ๐ฎ๐ฝ๐ถ๐ป๐ด
โณ Key Tools: Beautiful Soup, Scrapy, URLLib
โณ Resource: Web Scraping with Python -https://realpython.com/web-scraping-python-and-selenium/?wt.mc_id=studentamb_360801
๐๐ฒ๐ฝ๐น๐ผ๐๐บ๐ฒ๐ป๐
โณ Key Tools: AWS, Azure
โณ Resource: AWS Machine Learning University - https://aws.amazon.com/ai/machine-learning/?wt.mc_id=studentamb_360801
๐ฅ๐ฒ๐ฎ๐ฑ๐ ๐๐ผ ๐บ๐ฎ๐๐๐ฒ๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ? Pick one skill, start learning, and build real-world projects to solidify your expertise.
Let me know which one youโre focusing on!
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