- Data Science
- NumPy
- Data Import/Export
- Data Cleansing
- Programming Principles
- Python Programming
- Pivot Tables And Charts
- Pandas (Python Package)
- Data Analysis
- Data Manipulation
- Statistical Analysis
Introduction to Data Science in Python
Completed by Javier Eduardo Kuylen
March 19, 2021
30 hours (approximately)
Javier Eduardo Kuylen'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
