- Python Programming
- Statistical Analysis
- Data Analysis
- NumPy
- Pandas (Python Package)
- Data Cleansing
- Pivot Tables And Charts
- Programming Principles
- Data Science
- Data Transformation
- Data Import/Export
- Data Manipulation
Introduction to Data Science in Python
Completed by Lucas Paiolla Forastiere
January 3, 2021
30 hours (approximately)
Lucas Paiolla Forastiere'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
