- Data Preprocessing
- Data Cleansing
- Data Manipulation
- Python Programming
- Pivot Tables And Charts
- Pandas (Python Package)
- Programming Principles
- Data Science
- NumPy
- Statistical Analysis
- Data Import/Export
- Data Transformation
Introduction to Data Science in Python
Completed by Michael Zhou
March 5, 2020
30 hours (approximately)
Michael Zhou's account is verified. Coursera certifies their successful completion of Introduction to Data Science in Python
What you will learn
Understand techniques such as lambdas and manipulating csv files
Describe common Python functionality and features used for data science
Query DataFrame structures for cleaning and processing
Explain distributions, sampling, and t-tests
Skills you will gain
