- Data Cleansing
- Statistical Analysis
- Data Manipulation
- Pivot Tables And Charts
- Python Programming
- Data Analysis
- Programming Principles
- Data Science
- NumPy
- Data Import/Export
- Pandas (Python Package)
Introduction to Data Science in Python
Completed by Julian Paul Deij Ferrada
March 30, 2023
30 hours (approximately)
Julian Paul Deij Ferrada'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
