NumPy & Pandas Masterclass: Python Data Analysis Tutorial
This is a hands-on, project-based course designed to help you master two of the most popular Python packages for data analysis: NumPy and Pandas.
We’ll start with a NumPy primer to learn about arrays and their properties, practice common operations like indexing, slicing, filtering, and sorting, and look into important ideas like vectorization and broadcasting.
From there, we’ll dive into Pandas and focus on the essential tools and methods to explore, analyze, aggregate, and transform series and data frames. You will practice plotting data frames with charts and graphs, manipulating time-series data, importing and exporting different types of files, and joining data frames using common join methods.
Throughout the course, you’ll play the role of a data analyst for Maven Mega Mart, a large, multinational corporation that operates a chain of retail and grocery stores. Using the Python skills you learn throughout the course, you’ll work with members of the Maven Mega Mart team to analyze products, pricing, transactions, and more.
If you’re a data scientist, BI analyst, or data engineer looking to add Pandas to your Python skill set, this course is for you.
Happy Learning!
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