Data Analysis with Python: NumPy & Pandas Masterclass
Data Analysis with Python: NumPy & Pandas Masterclass
Learn NumPy & Pandas for data science, data analysis & business intelligence, with practical, hands-on Python projects!
Created by Maven Analytics, Chris Bruehl | 13.5 hours on-demand video course
This is a hands-on, project-based Data Analysis with Python: NumPy & Pandas Masterclass 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 introduce arrays and array properties, practice common operations like indexing, slicing, filtering and sorting, and explore important concepts 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 dataframes. You’ll practice plotting dataframes with charts and graphs, manipulating time-series data, importing and exporting various file types, and combining dataframes using common join methods.
What you’ll learn
- Master the essentials of NumPy and Pandas, two of Python’s most powerful data analysis packages
- Learn how to explore, transform, aggregate and join NumPy arrays and Pandas DataFrames
- Analyze and manipulate dates and times for time intelligence and time-series analysis
- Visualize raw data using plot methods and common chart options like line charts, bar charts, scatter plots and histograms
- Import and export flat files, Excel workbooks and SQL database tables using Pandas
- Build powerful, practical skills for modern analytics and business intelligence
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Who this course is for:
- Analysts or BI professionals looking to learn data analysis with NumPy and Pandas
- Aspiring data scientists who want to build or strengthen their Python skills
- Anyone interested in learning one of the most popular open source programming languages in the world
- Students looking to learn powerful, practical skills with unique, hands-on projects and course demos
