In this course, you’ll learn to use NumPy and pandas for data exploration, preparation, and analysis. You’ll start this course by learning how NumPy can streamline your data science workflow with vectorized operations, ndarrays, and Boolean indexing. You’ll then discover how pandas can super-charge your data exploration, preparation, and analysis. Finally, you’ll bring everything you’ve learned to a data analysis project to test your skills.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
- Analyzing data with NumPy and pandas
- Implementing coding concepts such as vectorized operations and Boolean indexing
- Optimizing your data science workflow and building proficiency in data analysis
Introduction to Pandas and NumPy for Data Analysis [7 lessons]
Projects in this course
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