- NumPy
- Data Science
- Data Cleansing
- Python Programming
- Statistical Analysis
- Data Import/Export
- Data Preprocessing
- Data Analysis
- Pandas (Python Package)
- Data Manipulation
- Programming Principles
- Pivot Tables And Charts
Introduction to Data Science in Python
Completed by Julian Yao
March 18, 2017
30 hours (approximately)
Julian Yao'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
