Introduction to Data Science in Python
Completed by Christopher James Cavanaugh
November 24, 2018
30 hours (approximately)
Christopher James Cavanaugh'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 Analysis
- Category: Data Wrangling
- Category: Data Processing
- Category: Statistical Methods
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data-Driven Decision-Making
- Category: Text Mining
- Category: Statistical Analysis
- Category: Pivot Tables And Charts
- Category: Programming Principles
