- Pivot Tables And Charts
- Data Science
- Python Programming
- Data Analysis
- Data Cleansing
- Data Manipulation
- Statistical Analysis
- Data Import/Export
- Data Transformation
- Programming Principles
- Pandas (Python Package)
- NumPy
Introduction to Data Science in Python
Completed by Anikesh Kumar
September 7, 2020
30 hours (approximately)
Anikesh Kumar'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
