- Pandas (Python Package)
- Python Programming
- Data Cleansing
- Pivot Tables And Charts
- Data Science
- Statistical Analysis
- Data Manipulation
- Data Import/Export
- NumPy
- Data Analysis
- Programming Principles
Introduction to Data Science in Python
Completed by Alexander Baldwin
December 22, 2016
30 hours (approximately)
Alexander Baldwin'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
