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1. Python
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2. SQL
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4. Data Science: R Basics
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5. Excel and PowerBI
🔗 https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
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20. Linear Algebra
🔗 https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
🔗 https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
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23. Data Science: Capstone
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24. Data Analysis
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25. IBM Data Science Professional Certificate
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26. Neural Networks and Deep Learning
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27. Supervised Machine Learning: Regression and Classification
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