Introduction to Data Science in Python
Completed by JAE SEUNG LEE
January 24, 2017
30 hours (approximately)
JAE SEUNG LEE'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: Data Processing
- Category: Data Wrangling
- Category: Probability & Statistics
- Category: Pandas (Python Package)
- Category: Data Analysis
- Category: Data Science
- Category: Data Cleansing
- Category: Statistical Methods
- Category: Data Preprocessing
- Category: Data Transformation
- Category: Scripting Languages
