- Python Programming
- Data Import/Export
- Probability & Statistics
- NumPy
- Statistical Analysis
- Data Analysis
- Data Cleansing
- Pivot Tables And Charts
- Jupyter
- Data Manipulation
- Programming Principles
- Pandas (Python Package)
Introduction to Data Science in Python
Completed by Paola Yumi Matsumoto
September 13, 2020
30 hours (approximately)
Paola Yumi Matsumoto'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
