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Basic Statistics
- Theory
  - Descriptive Statistics
    - Measures of Frequency
    - Measures of Central Tendency
    - Measures of Variability
    - Measures of Shape
  - Inferential Statistics
    - Important Concepts
      - Standard Error, Standard Error of Mean and Central Limit Theorem
      - Z Scores, Z Test and Probability Distribution
      - Brief Intro to T Test
      - Hypothesis Testing
    - Correlation Coefficients
    - T Tests
    - F Tests
      - One Way ANOVA
      - Factorial ANOVA
      - Repeated Measures ANOVA
    - Chi Square
- Application
  - Descriptive Statistics
  - Inferential Statistics
Data Exploration & Preparation
- Theory
  - Miscellaneous Methods
    - Consolidation of Datasets
    - Univariate and Bivariate Analysis
    - Outlier Treatment
    - Missing Value Treatment
  - Feature Engineering
    - Feature Transformation
    - Feature Scaling
    - Feature Construction
      - Binning
      - Encoding
      - Other Derived Variables
    - Feature Reduction
      - Feature Selection
      - Feature Extraction
      - Factor Analysis
- Application
  - Miscellaneous Methods
  - Feature Engineering
Modeling
- Theory
  - Supervised Learning
    - Regression Problems
      - Linear Regression
      - Regularized Regression Algorithms
      - Decision Trees
      - K Nearest Neighbour
      - Artificial Neural Networks
      - Ensemble Methods
    - Classification Problems
      - Logistic Regression
      - Regularized Regression Algorithms
      - Decision Trees
      - Support Vector Machines
      - Naive Bayes
      - K Nearest Neighbour
      - Artificial Neural Networks
      - Ensemble Methods
  - Unsupervised Learning
    - Clustering Problems
      - K-Means
      - DBScan
      - Hierarchical Clustering
    - Dimensionality Reduction
      - Principal Component Analysis
      - Factor Analysis
    - Anomaly Detection
      - Unsupervised Anomaly Detection
  - Time Series
    - Introduction to Time Series Data
    - Averaging Techniques
    - Smoothing Techniques and Time Series Decomposition
    - ARIMA Family
- Application
  - Regression Problems
  - Classification Problems
  - Clustering Problems
  - Dimensionality Reduction
  - Anomaly Detection
  - Time Series
Model Evaluation & Validation
- Theory
  - Model Evaluation
    - Regression Models
    - Classification Models
  - Model Validation
    - Holdout Cross-Validation
    - K-Fold Cross-Validation
- Application
  - Model Evaluation
  - Model Validation
Projects
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