Introduction to Data Science in Python
Completed by Joshua Denby Geiger
November 20, 2016
30 hours (approximately)
Joshua Denby Geiger'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 Analysis
- Category: Data Processing
- Category: NumPy
- Category: Text Mining
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
- Category: Data Preprocessing
