- Data Import/Export
- NumPy
- Pandas (Python Package)
- Data Science
- Pivot Tables And Charts
- Data Manipulation
- Data Cleansing
- Data Analysis
- Statistical Analysis
- Programming Principles
- Python Programming
Introduction to Data Science in Python
Completed by Anna Makova
January 29, 2022
30 hours (approximately)
Anna Makova'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
