- Data Manipulation
- Pivot Tables And Charts
- NumPy
- Programming Principles
- Data Import/Export
- Statistical Analysis
- Python Programming
- Pandas (Python Package)
- Data Transformation
- Data Science
- Data Analysis
- Data Cleansing
Introduction to Data Science in Python
Completed by Nicolas Ruiz Perez
December 17, 2024
30 hours (approximately)
Nicolas Ruiz Perez'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
