Introduction to Data Science in Python
Completed by Nikita Smagin
January 20, 2018
30 hours (approximately)
Nikita Smagin'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: Programming Principles
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Text Mining
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Data Wrangling
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Manipulation
- Category: Pandas (Python Package)
- Category: Data Science
