- NumPy
- Pivot Tables And Charts
- Data Transformation
- Pandas (Python Package)
- Data Analysis
- Data Manipulation
- Programming Principles
- Data Import/Export
- Data Science
- Statistical Analysis
- Python Programming
- Data Cleansing
Introduction to Data Science in Python
Completed by Zane Al-Hashimi
September 20, 2024
30 hours (approximately)
Zane Al-Hashimi'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
