- Data Analysis
- Python Programming
- Programming Principles
- Pivot Tables And Charts
- Jupyter
- NumPy
- Data Import/Export
- Probability & Statistics
- Statistical Analysis
- Data Manipulation
- Pandas (Python Package)
- Data Science
Introduction to Data Science in Python
Completed by ANEESHA SHARMA
April 19, 2020
34 hours (approximately)
ANEESHA SHARMA'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
