Introduction to Data Science in Python
Completed by GI JUNG KIM
December 8, 2017
30 hours (approximately)
GI JUNG 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 Processing
- Category: NumPy
- Category: Data Transformation
- Category: Statistical Analysis
- Category: Data Analysis
- Category: Data Wrangling
- Category: Data Cleansing
- Category: Data Manipulation
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Probability & Statistics
- Category: Programming Principles
