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Data Science and Machine Learning Prerequisite : Mathematics

1. Measure of central tendency
2. Mean vs Median
3. Measure of Dispersion
4. Quartiles and Interquartile range
5. Correlation vs Causality
6. CoVariance and Pearson correlation
7. Permutations
8. Permutations Exercise
9. Combinations
10. Introduction to Probability
11. Union, Intersection of complement of event
12. Independent and dependent event
13. Statistical Function in Excel

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