Introduction to Data Science in Python
Completed by Soo Hyeon Kim
June 18, 2017
30 hours (approximately)
Soo Hyeon 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: NumPy
- Category: Data Transformation
- Category: Text Mining
- Category: Data Wrangling
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Processing
- Category: Programming Principles
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Pandas (Python Package)
- Category: Data Science
