Introduction to Data Science in Python
Completed by Joshua Denby Geiger
November 20, 2016
30 hours (approximately)
Joshua Denby Geiger'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
- Category: Data Processing
- Category: Data Analysis
- Category: NumPy
- Category: Statistical Analysis
- Category: Data Transformation
- Category: Text Mining
- Category: Data Wrangling
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Statistical Methods
- Category: Python Programming
- Category: Probability & Statistics
