- Data Cleansing
- Data Transformation
- Python Programming
- Data Science
- Pandas (Python Package)
- Pivot Tables And Charts
- Programming Principles
- Data Import/Export
- Data Manipulation
- Statistical Analysis
- Data Analysis
- Data Preprocessing
Introduction to Data Science in Python
Completed by Kasun Gayantha Hewagama
October 20, 2020
30 hours (approximately)
Kasun Gayantha Hewagama'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
