- Statistical Analysis
- Programming Principles
- Pandas (Python Package)
- Python Programming
- Pivot Tables And Charts
- Data Import/Export
- Data Cleansing
- Data Science
- NumPy
- Data Manipulation
- Data Analysis
- Data Transformation
Introduction to Data Science in Python
Completed by Javier Rubio Giménez
May 23, 2021
30 hours (approximately)
Javier Rubio Giménez'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
