- Data Science
- Data Transformation
- Data Import/Export
- Pivot Tables And Charts
- Data Manipulation
- Python Programming
- Data Cleansing
- Statistical Analysis
- Pandas (Python Package)
- Data Analysis
- Programming Principles
- Data Preprocessing
Introduction to Data Science in Python
Completed by Pranjal Sarin
March 31, 2019
30 hours (approximately)
Pranjal Sarin'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
