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Curriculum
- 17 Sections
- 42 Lessons
- 10 Weeks
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- Course Introductions4
- R Basics9
- 2.1Introduction to R, Installation, and Setup
- 2.2Functions in R: Defining and Using Functions
- 2.3Control Structures: if, else, for, while
- 2.4Data Frames: Creating and Importing Data
- 2.5Factors in R: Creating and Understanding
- 2.6Lists in R: Introduction and Manipulations
- 2.7Matrices: Creating and Performing Operations
- 2.8Vectors in R: Creation, Indexing, and Manipulation
- 2.9Basic Syntax, Variables, and Data Types
- Evaluation & Presentation (Mid-course)1
- Data Manipulation & dplyr2
- Data Visualization2
- Data Handling5
- Statistics & Analysis3
- Reporting & Dashboards2
- Databases1
- Machine Learning4
- R Best Practices & Project Organization1
- Time Series & Advanced Functions3
- Working with APIs & Web Data1
- Career & Portfolio Development in R1
- Project Work1
- Final Assessment1
- Completion Formalities1











