- Statistical Analysis
- Data Analysis
- Pandas (Python Package)
- Data Science
- Data Transformation
- Programming Principles
- Python Programming
- NumPy
- Pivot Tables And Charts
- Data Import/Export
- Data Cleansing
- Data Manipulation
Introduction to Data Science in Python
Completed by Omar Sabbarini
January 29, 2017
30 hours (approximately)
Omar Sabbarini'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
