- Data Manipulation
- Pivot Tables And Charts
- Programming Principles
- Data Cleansing
- Python Programming
- Pandas (Python Package)
- Data Analysis
- Data Import/Export
- Data Transformation
- NumPy
- Data Science
- Statistical Analysis
Introduction to Data Science in Python
Completed by Jeremy M Weber
June 29, 2021
30 hours (approximately)
Jeremy M Weber'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
