Introduction to Data Science in Python
Completed by Jacob Spurgeon-Hess
December 4, 2024
30 hours (approximately)
Jacob Spurgeon-Hess'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 Transformation
- Category: NumPy
- Category: Data Wrangling
- Category: Text Mining
- Category: Data Processing
- Category: Data Analysis
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data-Driven Decision-Making
- Category: Data Import/Export
