- Data Analysis
- Data Science
- Data Preprocessing
- Data Manipulation
- Programming Principles
- Data Cleansing
- Data Transformation
- Data Import/Export
- Python Programming
- Pandas (Python Package)
- Statistical Analysis
- Pivot Tables And Charts
Introduction to Data Science in Python
Completed by Preethi J
July 24, 2020
30 hours (approximately)
Preethi J'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
