Chapter 1: Introduction to Data Science
- Definition and Importance of Data Science
- Overview of the Data Science Process
- Career Paths in Data Science
Chapter 2: Mathematical Foundations for Data Science
- Basic Algebra
- Variables
- Mathematical Functions
- Function Notation and Evaluation
- Types of Functions (linear, quadratic, exponential,
logarithmic)
- Matrices and Vectors
- Fundamental Calculus Concepts: Limits, Derivatives and Their
Applications
- Exercises
Chapter 3: Basic Statistics
- Data Distributions
- Descriptive Statistics
- Visualization Techniques
- Exercises
Chapter 4: Probability
- Basic Concepts of Probability
- Probability Rules
- Common Distributions
- Exercises
Chapter 5: Getting Started with R
- Installing R and RStudio
- R Basics
- Essential Functions
- Built-in Functions
- User-defined Functions
- Creating and Importing a Dataset
- Exercises
Chapter 6: Data Structures in R
- Introduction to Vectors
- Data Frames
- Lists
- Exercises
Chapter 7: Data Cleaning and Preprocessing
- Importance of Data Cleaning
- Handling Missing Values
- Identifying Outliers
- Fixing inconsistency in data
- Data Transformation Techniques
- Exercises
Chapter 8: Exploratory Data Analysis (EDA) with R
- Conducting EDA
- Basic Visualization Tools in R
- Creating Visualizations with ggplot2
- Exercises
Chapter 9: Basic Predictive Modeling with R
- Introduction to Predictive Modeling
- Splitting Data for Training and Testing
- Evaluating Model Performance
- Exercises
Chapter 10: Building Interactive Web Applications with Shiny
- Introduction to Shiny
- Deploying Shiny Apps
- Exercises
Chapter 11: Statistical Consulting
- Role of Statistical Consultants
- Understanding Client Needs
- Communication Strategies
- Presenting Tools and Techniques
- Tips for Preparing Presentations and Reports
- Ethics in Consulting
- Exercises
- Mock Presentation on a Statistical Concept
- Writing a Brief Report
Chapter 12: Introduction to Power BI
- Overview of Power BI
- Connecting to Data Sources
- Creating Dashboards
- Case Studies of Effective Visualizations
- Exercises
- Creating a Simple Power BI Dashboard
- Analyzing a Dataset in Power BI
Chapter 13: Capstone Project: Analyzing Health Trends Using NHIS and
Web-Scraped Data
- Overview of NHIS Data
- Techniques for Web Scraping
- Conducting EDA on Health Trends
- Cleaning and Analyzing Data
- Presenting Findings
- Exercises