- Statistical Analysis
- Programming Principles
- Pandas (Python Package)
- Python Programming
- Pivot Tables And Charts
- Data Import/Export
- Data Cleansing
- Data Science
- NumPy
- Data Manipulation
- Data Analysis
- Data Transformation
Introduction to Data Science in Python
Completed by Shiang-ping HAO
January 8, 2020
30 hours (approximately)
Shiang-ping HAO'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
