- Pandas (Python Package)
- Python Programming
- Data Analysis
- Data Science
- Statistical Analysis
- Data Manipulation
- Data Preprocessing
- Programming Principles
- Data Import/Export
- Pivot Tables And Charts
- Data Cleansing
- NumPy
Introduction to Data Science in Python
Completed by Jose Manuel Franco Gracia
December 14, 2016
30 hours (approximately)
Jose Manuel Franco Gracia'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
