Data Science

Data Science Fundamentals

Data Science Foundations

Data Cleaning

Data Preparation

Python for Data Science

Python Essentials

Pandas

Data Visualization

Exploratory Data Analysis

Descriptive Statistics

Correlation and Visualization

EDA Patterns

Statistics Essentials

Probability Basics

Hypothesis Testing

Feature Engineering

Feature Engineering

ML Fundamentals

ML Basics

Bias-Variance Tradeoff

Cross-Validation

Regularization

Regression

Regression Techniques

Regression Evaluation

Classification

Logistic Regression

Decision Trees

Classification Metrics

Ensemble Methods

Random Forests

Gradient Boosting

Additional ML Models

SVM and KNN

Clustering

Model Optimization

Model Tuning

Imbalanced Data

Data and Communication

SQL Essentials

Ethics and Communication