Introduction to Data Science in Python
Completed by Renata Zottis Junges
April 17, 2018
30 hours (approximately)
Renata Zottis Junges'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-Driven Decision-Making
- Category: Data Processing
- Category: Scripting Languages
- Category: Data Transformation
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: NumPy
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Text Mining
- Category: Statistical Analysis
- Category: Data Wrangling
