Introduction to Data Science in Python
Completed by Robert Tolar Haining
November 21, 2016
30 hours (approximately)
Robert Tolar Haining'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: Python Programming
- Category: Data Processing
- Category: Scripting Languages
- Category: Data Preprocessing
- Category: Statistical Analysis
- Category: Data-Driven Decision-Making
- Category: Pivot Tables And Charts
- Category: NumPy
- Category: Statistical Methods
- Category: Data Wrangling
- Category: Probability & Statistics
- Category: Data Analysis
