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Computer Science
Data Science
R Programming for Data Science
1. Introduction to R for Data Science
2. R Language Fundamentals
3. Data Import and Export
4. Data Manipulation with tidyverse
5. Data Visualization with ggplot2
6. Programming Fundamentals in R
7. Statistical Analysis in R
8. Reproducible Research and Communication
9. R Ecosystem and Best Practices
Data Import and Export
File System Navigation
Working Directory Concepts
Setting and Getting Working Directory
File Path Construction
Relative vs Absolute Paths
Reading Structured Data
CSV Files
Basic CSV Reading
Handling Headers
Custom Delimiters
Quote Characters
Missing Value Representation
Data Type Specification
Tab-Delimited Files
Fixed-Width Files
Custom Delimited Files
Large File Handling Strategies
Excel File Integration
Excel Package Options
Reading Single Worksheets
Reading Multiple Worksheets
Handling Excel Formatting
Cell Range Specification
Statistical Software Data
SPSS File Import
SAS File Import
Stata File Import
Package-specific Considerations
Database Connectivity
Database Connection Concepts
DBI Package Framework
SQLite Integration
MySQL Integration
PostgreSQL Integration
Connection Management
SQL Query Execution
Result Set Handling
Web Data Sources
Reading from URLs
API Data Access
Web Scraping Basics
JSON Data Handling
XML Data Processing
Data Export Operations
CSV Export
Excel Export
Database Writing
Custom Format Export
R Native Formats
RDS Format
Single Object Storage
Compression Options
RData Format
Multiple Object Storage
Workspace Saving
Loading Saved Objects
Version Compatibility
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4. Data Manipulation with tidyverse