- Data Cleansing
- Python Programming
- Data Transformation
- Data Science
- NumPy
- Statistical Analysis
- Data Manipulation
- Data Import/Export
- Data Analysis
- Pandas (Python Package)
- Pivot Tables And Charts
- Programming Principles
Introduction to Data Science in Python
Completed by Nikolas Osvalds
August 12, 2022
30 hours (approximately)
Nikolas Osvalds'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
