- Pandas (Python Package)
- Statistical Analysis
- Programming Principles
- Python Programming
- Data Analysis
- Data Transformation
- Data Science
- Data Manipulation
- NumPy
- Data Cleansing
- Data Import/Export
- Pivot Tables And Charts
Introduction to Data Science in Python
Completed by Ismail Soner Cinoglu
May 6, 2020
30 hours (approximately)
Ismail Soner Cinoglu'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
