- Data Cleansing
- Data Science
- NumPy
- Data Manipulation
- Statistical Analysis
- Programming Principles
- Data Analysis
- Data Import/Export
- Python Programming
- Pivot Tables And Charts
- Pandas (Python Package)
Introduction to Data Science in Python
Completed by Piotr Kopacki
December 14, 2019
30 hours (approximately)
Piotr Kopacki'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
