Introduction to Data Science in Python
Completed by Charles Randall Shoemaker
March 1, 2017
30 hours (approximately)
Charles Randall Shoemaker'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: Text Mining
- Category: Python Programming
- Category: Data Cleansing
- Category: NumPy
- Category: Data Wrangling
- Category: Data-Driven Decision-Making
- Category: Probability & Statistics
- Category: Pivot Tables And Charts
- Category: Data Preprocessing
- Category: Data Science
- Category: Data Manipulation
- Category: Data Transformation
