- Data Science
- Data Preprocessing
- NumPy
- Data Cleansing
- Python Programming
- Statistical Analysis
- Pandas (Python Package)
- Data Transformation
- Data Manipulation
- Data Analysis
- Programming Principles
- Pivot Tables And Charts
Introduction to Data Science in Python
Completed by Aristeidis Mourikis
October 11, 2017
30 hours (approximately)
Aristeidis Mourikis'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
