- Programming Principles
- Data Science
- Pivot Tables And Charts
- Python Programming
- Data Analysis
- Data Manipulation
- NumPy
- Pandas (Python Package)
- Statistical Analysis
- Data Transformation
- Data Import/Export
- Data Cleansing
Introduction to Data Science in Python
Completed by Timothy Receveur
July 31, 2020
30 hours (approximately)
Timothy Receveur'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
