Introduction to Data Science in Python
Completed by Scott Cranton
August 12, 2017
30 hours (approximately)
Scott Cranton'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-Driven Decision-Making
- Category: Python Programming
- Category: Statistical Analysis
- Category: Text Mining
- Category: Data Wrangling
- Category: Scripting Languages
- Category: Data Transformation
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Analysis
- Category: Data Import/Export
