- Statistical Analysis
- Data Import/Export
- Data Preprocessing
- Data Transformation
- Pandas (Python Package)
- Programming Principles
- Data Cleansing
- Data Manipulation
- NumPy
- Python Programming
- Pivot Tables And Charts
- Data Analysis
Introduction to Data Science in Python
Completed by Leonardo Campuzano Magallanes
May 10, 2020
30 hours (approximately)
Leonardo Campuzano Magallanes'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
