Basics to Data Science

• Introduction to Data Science
• Introduction to NumPy and Matplotlib
• Matrix Operations with NumPy
• Random Variable and Probability Distributions
• Probability
• Properties of Probability Distributions
• Mean, Median, Mode
• Variance, Skewness, Kurtosis
• Multivariate Normal Distribution
• Co-Variance, Correlation
• Introduction to Scikit-Learn
• Data Pre-Processing Techniques using Scikit-Learn
• Dimensionality Reduction as Data Pre-Processing
• Principal Component Analysis (PCA)
• Linear Discriminant Analysis (LDA)

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