Introduction to Data Science in Python
Completed by Keita Sean Shimanuki
December 25, 2023
30 hours (approximately)
Keita Sean Shimanuki'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: Text Mining
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Analysis
- Category: Data Processing
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Programming Principles
- Category: Scripting Languages
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
