Data Science

Module 1: Introduction to Data Science

• Understanding the data science process
• Role of data scientists in different industries
• Overview of data science tools and technologies

Module 2: Data Collection and Cleaning

• Data sources and collection methods
• Data preprocessing and cleaning techniques
• Dealing with missing and inconsistent data

Module 3: Exploratory Data Analysis

• Descriptive statistics and data visualization
• Identifying patterns and trends in data
• Correlation and causation analysis

Module 4: Machine Learning Basics

• Introduction to supervised and unsupervised learning
• Selecting and preparing features for modeling
• Training and evaluating machine learning models

Module 5: Predictive Modeling

• Regression analysis and prediction
• Classification and decision tree algorithms
• Model evaluation and validation techniques

Module 6: Data Visualization and Communication

• Creating effective visualizations
• Storytelling with data
• Presenting insights to non-technical audiences