- Overview
- Curriculum
- Pre Requisite
Course Description
This course focuses on leveraging Python for data analytics, teaching students how to preprocess, analyze, and visualize data. Using libraries like Pandas, NumPy, and Matplotlib, learners will tackle real-world data analytics challenges, extracting insights from datasets to inform decision-making processes.
Introduction to Data Science
- Python for Data Analysis: Pandas and NumPy
- Data Cleaning and Preparation
- Data Visualization with Matplotlib and Seaborn
- Time Series Analysis
- Introduction to Statistical Analysis
- Data Analytics Projects
- Proficiency in Python programming
- Basic understanding of statistics
