NumPy & Pandas Masterclass: Python Data Analysis Tutorial

NumPy & Pandas Masterclass: Python Data Analysis Tutorial

With useful, hands-on Python projects, you can learn NumPy & Pandas for data science, data analysis, and business intelligence!

What you’ll learn

NumPy & Pandas Masterclass: Python Data Analysis Tutorial

  • Learn how to use Pandas and NumPy, two of Python’s most powerful tools for analyzing data.
  • Find out how to use Pandas DataFrames and NumPy arrays to look at, change, combine, and link data.
  • Import and export flat files, Excel workbooks, and SQL database tables using Pandas.
  • Develop strong, practical abilities in business intelligence and contemporary analytics.


  • Jupyter and Anaconda notebooks will be used (a free, user-friendly coding environment).
  • Though not a requirement, it is highly advised that you be familiar with the underlying Python language.


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!

Who this course is for:

  • For analysts or business intelligence experts who want to learn how to use NumPy and Pandas to analyze data.
  • Aspiring data scientists seeking to improve or upgrade their Python skills
  • Check this out if you’re interested in studying one of the most widely used open-source programming languages in the world:
  • Students who want to learn strong, useful skills through unique, hands-on projects and class presentations will find

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