Introduction to Data Science in Python
Completed by Jacob Sternius
January 28, 2018
30 hours (approximately)
Jacob Sternius'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: Statistical Methods
- Category: Programming Principles
- Category: NumPy
- Category: Data Transformation
- Category: Data-Driven Decision-Making
- Category: Data Processing
- Category: Data Science
- Category: Probability & Statistics
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Analysis
- Category: Data Manipulation
