- Data Manipulation
- Python Programming
- Data Import/Export
- Data Analysis
- Data Science
- Data Cleansing
- Statistical Analysis
- Pivot Tables And Charts
- Programming Principles
- NumPy
- Pandas (Python Package)
- Data Transformation
Introduction to Data Science in Python
Completed by Sreelaxmi Chakkadath
November 9, 2020
30 hours (approximately)
Sreelaxmi Chakkadath'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
