Data Analysis With Python
Python is a core skill for anyone working with data—and this course shows you exactly how to use it in practice. Through real-world examples, you’ll build an end-to-end data analysis workflow using four of Python’s most powerful libraries: NumPy, Pandas, Matplotlib, and Seaborn. You’ll start by loading and cleaning messy datasets, then move into common statistical analysis and transformation techniques.
Finally, you’ll bring your insights to life with clear, compelling visualizations. Whether you’re just getting started in data or want to reinforce your Python fundamentals, this course will give you the tools and confidence to turn raw data into impactful results.
Who should take this course?
This course is designed for learners who would like to build up their programming skills and use Python for data science to analyze data. This course is designed to equip anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.
Data Analysis With Python Learning Objectives
- Utilize data operations using Numpy and Pandas packages
- Generate and load tabular data from a variety of sources into a Jupyter Notebook
- Clean common data errors and transform data to prepare for analysis and visualization
- Explore data through different statistical methods to gain a deeper understanding
- Visualize data to share insights using the Matplotlib and Seaborn package
