Data Science with Python/R

Data Science is one of the most in-demand career fields today, and mastering it with Python and R gives students a strong foundation to build a successful future. Both languages are widely used in industries for data analysis, machine learning, and artificial intelligence.

What Students Will Learn

• Python & R Programming Basics → Writing clean, efficient, and scalable code.

• Data Handling & Cleaning → Managing raw data, handling missing values, and preparing datasets.

• Data Visualization → Creating charts, graphs, and dashboards for clear insights.

• Statistical Analysis → Understanding probability, hypothesis testing, and regression.

• Big Data Concepts → Introduction to working with large datasets.

• Real-World Projects → Hands-on assignments to solve practical business problems.

Skills Students Develop

• Strong analytical and problem-solving abilities

• Ability to use libraries like Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn (Python)

• Proficiency in R packages like ggplot2, dplyr, caret

• Knowledge of working with Jupyter Notebook & RStudio

• Teamwork and project presentation skills