- Data Transformation
- Python Programming
- Data Analysis
- Data Science
- Pivot Tables And Charts
- NumPy
- Data Manipulation
- Programming Principles
- Data Import/Export
- Statistical Analysis
- Data Cleansing
- Data Preprocessing
Introduction to Data Science in Python
Completed by Ángel García Mena
October 26, 2020
30 hours (approximately)
Ángel García Mena'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
