This course is for intermediate Python users, and it builds upon the essentials covered in our previous Python lessons. You’ll learn how to leverage Python to supercharge your data analysis workflow. You’ll learn how to manipulate, combine, transform, and merge data; manipulate strings; and work with missing values in Python — as well as new concepts and techniques to improve the speed and efficiency of your Python code.
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.
- Aggregating, combining, transforming, and cleaning data
- Manipulating strings and working with regular expressions in Python
- Combining, transforming, and reshaping datasets
- Resolving missing data and duplicate data
Data Cleaning and Analysis in Python [6 lessons]
Projects in this course
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