Introduction to Data Science in Python
Completed by Jae Yeon Kwon
November 19, 2024
30 hours (approximately)
Jae Yeon Kwon'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 Manipulation
- Category: Data Cleansing
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: Scripting Languages
- Category: Data Transformation
- Category: Probability & Statistics
- Category: Statistical Methods
