- Data Analysis
- Data Manipulation
- Data Science
- Python Programming
- Statistical Analysis
- Pandas (Python Package)
- NumPy
- Pivot Tables And Charts
- Programming Principles
- Data Import/Export
- Data Preprocessing
- Data Transformation
Introduction to Data Science in Python
Completed by Yande Kutemwa Musonda
January 22, 2024
30 hours (approximately)
Yande Kutemwa Musonda'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
