Introduction to Data Science in Python
Completed by Tyler James Harpole
May 28, 2017
30 hours (approximately)
Tyler James Harpole'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: Statistical Analysis
- Category: NumPy
- Category: Data Transformation
- Category: Data-Driven Decision-Making
- Category: Data Processing
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Probability & Statistics
- Category: Text Mining
- Category: Data Analysis
- Category: Data Wrangling
- Category: Programming Principles
