Introduction to Data Science in Python
Completed by David Andres Grijalva
April 15, 2017
30 hours (approximately)
David Andres Grijalva'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
