Introduction to Data Science in Python
Completed by Daniel Healy
October 24, 2017
30 hours (approximately)
Daniel Healy'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: Text Mining
- Category: Pivot Tables And Charts
- Category: Data Cleansing
- Category: Data Wrangling
- Category: Statistical Methods
- Category: Data Transformation
- Category: Data Science
- Category: Probability & Statistics
- Category: Data Analysis
- Category: Programming Principles
- Category: Data-Driven Decision-Making
