Introduction to Data Science in Python
Completed by Michael Beaulieu
March 12, 2017
30 hours (approximately)
Michael Beaulieu'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 Transformation
- Category: Data Cleansing
- Category: Data-Driven Decision-Making
- Category: Statistical Analysis
- Category: Text Mining
- Category: Data Wrangling
- Category: Data Import/Export
- Category: Pivot Tables And Charts
- Category: Pandas (Python Package)
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Scripting Languages
