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