- Statistical Analysis
- NumPy
- Programming Principles
- Pandas (Python Package)
- Data Science
- Data Manipulation
- Data Cleansing
- Pivot Tables And Charts
- Python Programming
- Data Analysis
- Data Import/Export
Introduction to Data Science in Python
Completed by Jonathan Andres Diaz Morales
August 3, 2020
30 hours (approximately)
Jonathan Andres Diaz Morales'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
