- Data Import/Export
- Data Analysis
- Data Manipulation
- NumPy
- Pandas (Python Package)
- Python Programming
- Data Science
- Data Cleansing
- Data Transformation
- Pivot Tables And Charts
- Statistical Analysis
- Programming Principles
Introduction to Data Science in Python
Completed by Denis Bolonin
August 28, 2020
30 hours (approximately)
Denis Bolonin'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