Introduction to Data Science in Python
Completed by Michael Lewis Spier Jr
November 11, 2019
30 hours (approximately)
Michael Lewis Spier Jr'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 Processing
- Category: Data-Driven Decision-Making
- Category: Python Programming
- Category: Text Mining
- Category: Statistical Analysis
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Data Transformation
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Analysis
