- Data Manipulation
- Programming Principles
- Data Analysis
- Statistical Analysis
- Data Science
- Data Transformation
- Pivot Tables And Charts
- Data Cleansing
- Data Import/Export
- Data Preprocessing
- NumPy
- Pandas (Python Package)
Introduction to Data Science in Python
Completed by David Jiménez Pérez
April 14, 2020
30 hours (approximately)
David Jiménez Pérez'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
