- Python Programming
- Data Cleansing
- Programming Principles
- Pivot Tables And Charts
- Statistical Analysis
- Data Analysis
- Pandas (Python Package)
- Data Import/Export
- Data Science
- NumPy
- Data Manipulation
Introduction to Data Science in Python
Completed by Juan Esteban Sepúlveda Acevedo
July 10, 2022
30 hours (approximately)
Juan Esteban Sepúlveda Acevedo'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
