Introduction to Social Data Science

📚 Course Overview

This repository contains the course materials, syllabus, assignments, and resources for Introduction to Social Data Science. The course provides students with hands-on experience in data analysis, visualization, and modeling using R and RStudio.

📌 Course Topics

• Introduction to R, RStudio, and R Markdown\
• Data visualization with ggplot2\
• Data wrangling and manipulation\
• Statistical inference and modeling\
• Machine learning basics\
• Text as data\
• Final project: Data analysis using Data is Plural datasets

📂 Repository Structure

📁 course-materials/         # Lecture slides, notes, and additional readings
📁 assignments/              # Homework and project guidelines
📁 data/                     # Sample datasets for practice
📁 syllabus/                 # Course syllabus and schedule

📜 Course Syllabus

The full syllabus is available in the syllabus/ directory.

🛠 Setup Instructions

To follow along with the course materials, install the following:\

1. Download & Install R → R Project\
2. Download & Install RStudio → Posit RStudio\
3. Install Required Packages:
   ```r install.packages(c("tidyverse", "ggplot2", "readr", "dplyr", "knitr"))```

🚀 Getting Started

1. Clone this repository:

   git clone https://github.com/yourusername/introduction-to-social-data-science.git
   

2. Navigate to the project directory:

   cd introduction-to-social-data-science
   

3. Open RStudio and start exploring!

📝 Assignments & Final Project

• Midterm Project: Data cleaning, exploratory analysis

• Final Project: Data modeling, visualization, and reporting using R

  📬 Contact & Support

If you have any questions, feel free to reach out via:\

📧 Instructor: [email protected]

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💡 Contribute: If you’d like to contribute or improve the course materials, feel free to open a pull request!\

📢 Stay Updated: Follow this repository for updates and new materials.

Happy coding & data analyzing! 🚀