- Data Import/Export
- Programming Principles
- Probability & Statistics
- Data Manipulation
- Data Cleansing
- Data Analysis
- Sampling (Statistics)
- Pivot Tables And Charts
- Python Programming
- Statistical Analysis
- Pandas (Python Package)
- Jupyter
Introduction to Data Science in Python
Completed by Zohreh Tofighizavareh
May 24, 2022
30 hours (approximately)
Zohreh Tofighizavareh'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
