Data Analytics with Python
Course Summary
This course provides a comprehensive introduction to data analytics using Python, equipping participants with the skills to process, manipulate, and visualize data for insightful analysis. It covers Pandas for data manipulation, NumPy for numerical computing, and visualization tools such as Matplotlib and Seaborn. Through hands-on projects, participants will learn to extract meaningful patterns from datasets and apply analytical techniques relevant to scientific research, business intelligence, and decision-making.
Key Learning Outcomes
- Understand data manipulation, wrangling, and cleaning using Pandas and NumPy.
- Learn to visualize and interpret data with Matplotlib and Seaborn.
- Apply statistical and exploratory data analysis techniques in real-world datasets.
- Work with large datasets and automate data processing tasks.
