Introduction to Data Science in Python
Completed by Dennis Kenig
May 24, 2017
30 hours (approximately)
Dennis Kenig'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: Data Transformation
- Category: NumPy
- Category: Data Analysis
- Category: Data Wrangling
- Category: Data Science
- Category: Programming Principles
- Category: Probability & Statistics
- Category: Statistical Analysis
- Category: Data Manipulation
- Category: Pivot Tables And Charts
