Beginner's Accelerated Data Science, Machine Learning, & AI for Career Transition (4-6 Hours Daily)

Fast-track your career transition with an intensive, beginner-friendly course covering essential Data Science, Machine Learning, and AI fundamentals, practical Python skills, and foundational model implementation.
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Introduction to Data Science, Machine Learning, and AI

Unit 1: The Data Science Landscape

Unit 2: Unpacking Machine Learning & AI

Unit 3: Real-World Applications

Unit 4: Machine Learning Paradigms

Unit 5: The Data Science Journey

Python Fundamentals for Data Science

Unit 1: Getting Started with Python

Unit 2: Python Data Structures

Unit 3: Control Flow and Functions

Essential Mathematical Foundations

Unit 1: Linear Algebra Basics

Unit 2: Descriptive Statistics

Unit 3: Probability Fundamentals

Data Manipulation with NumPy and Pandas

Unit 1: NumPy: The Numerical Powerhouse

Unit 2: Pandas: Your Data's Best Friend

Unit 3: DataFrame Operations: Getting What You Need

Unit 4: Summarizing Data with Pandas

Data Understanding and Preprocessing

Unit 1: Understanding Your Data

Unit 2: Cleaning Up Your Data

Unit 3: Preparing Data for Models

Introduction to Supervised Learning: Regression

Unit 1: Regression Fundamentals

Unit 2: Simple Linear Regression

Unit 3: Implementing Linear Regression

Introduction to Supervised Learning: Classification

Unit 1: Classification Fundamentals

Unit 2: K-Nearest Neighbors (KNN) Algorithm

Unit 3: Implementing KNN in Python

Unit 4: KNN Model Behavior

Model Evaluation and Improvement Basics

Unit 1: Evaluating Regression Models

Unit 2: Evaluating Classification Models

Unit 3: Model Performance Issues

Unit 4: Improving Model Performance