Introduction to Data Science in Python
Completed by Julian Hüsing Auditor
June 28, 2024
30 hours (approximately)
Julian Hüsing Auditor'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: Scripting Languages
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: Data Transformation
- Category: NumPy
- Category: Data Manipulation
- Category: Data Cleansing
