Introduction to Data Science in Python
Completed by JAE HOON KIM
December 31, 2016
30 hours (approximately)
JAE HOON KIM'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 Wrangling
- Category: Data-Driven Decision-Making
- Category: Data Processing
- Category: Data Transformation
- Category: Scripting Languages
- Category: Text Mining
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: NumPy
- Category: Statistical Analysis
- Category: Data Manipulation
