- Data Science
- NumPy
- Programming Principles
- Pandas (Python Package)
- Python Programming
- Pivot Tables And Charts
- Data Manipulation
- Statistical Analysis
- Data Import/Export
- Data Analysis
- Data Cleansing
Introduction to Data Science in Python
Completed by Daniil Kyselov
February 18, 2024
30 hours (approximately)
Daniil Kyselov'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