Introduction to Data Science in Python
Completed by Michael Andrew Kitching
September 22, 2017
30 hours (approximately)
Michael Andrew Kitching'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 Preprocessing
- Category: Data Wrangling
- Category: Data Transformation
- Category: Statistical Methods
- Category: Python Programming
- Category: Pivot Tables And Charts
- Category: Data Manipulation
- Category: Pandas (Python Package)
- Category: Text Mining
- Category: Data-Driven Decision-Making
- Category: Data Processing
- Category: Scripting Languages
