- Python Programming
- Statistical Analysis
- Data Analysis
- NumPy
- Pandas (Python Package)
- Data Cleansing
- Pivot Tables And Charts
- Programming Principles
- Data Science
- Data Transformation
- Data Import/Export
- Data Manipulation
Introduction to Data Science in Python
Completed by Orfrant Javier Rivera
September 25, 2020
30 hours (approximately)
Orfrant Javier Rivera'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
