Introduction to Data Science in Python
Completed by Jaime Amador Fernandez
January 27, 2017
30 hours (approximately)
Jaime Amador Fernandez'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: Data Analysis
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Text Mining
- Category: Data Import/Export
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Preprocessing
- Category: Statistical Methods
- Category: Probability & Statistics
