Introduction to Data Science in Python
Completed by Brandon Michael Veremis
February 9, 2019
30 hours (approximately)
Brandon Michael Veremis'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: Scripting Languages
- Category: Python Programming
- Category: Data-Driven Decision-Making
- Category: Statistical Methods
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Probability & Statistics
- Category: Data Preprocessing
- Category: Data Processing
- Category: Data Transformation
- Category: Statistical Analysis
