Start your journey with data science in R, leveraging its powerful capabilities for statistical analysis and data visualization. This course covers essential data science concepts and prepares you for practical applications, ensuring a strong foundation in R for your data science endeavors.
Overview
Syllabus
- Lesson 1: Recap of Essential R Programming Concepts
- Modify Data Structures in R
- Fix Bugs in R Code
- Building Basic Data Structures
- Fill in the Superhero Code
- Write Essential R Programming Concepts
- Lesson 2: Data Acquisition and Preparation
- Renaming and Cleaning Data Frame
- Fix Data Frame and Explore
- Clean and Explore Data Frame
- Add Missing Code for Cleanup
- Cleanup and Explore Data
- Lesson 3: Data Manipulation and Transformation
- Adjust Data Filtering Criteria
- Fix the Data Manipulation Bug
- Complete Data Transformation Steps
- Master Data Manipulation Using dplyr
- Master Data Transformation in R
- Lesson 4: Basic Data Visualization
- Modify Scatter Plot Axes
- Fix the Plotting Syntax
- Create a Bar Chart
- Enhance Your Data Visualization Skills
- Mastering Basic Data Visualizations
- Lesson 5: Introduction to Modeling and Prediction
- Enhancing Linear Regression Models
- Fix Common Regression Errors
- Mastering Logistic Regression in R
- Modeling with Multiple Predictors
- Master Regression Models in R
