Introduction to Data Science in Python
Completed by Michael Spencer Taneza Go
January 31, 2022
30 hours (approximately)
Michael Spencer Taneza Go'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: NumPy
- Category: Data Wrangling
- Category: Data Analysis
- Category: Data Transformation
- Category: Data Manipulation
- Category: Data-Driven Decision-Making
- Category: Statistical Methods
- Category: Programming Principles
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
- Category: Data Preprocessing
