Introduction to Data Science in Python
Completed by Julian Caleb Bowie
October 8, 2019
30 hours (approximately)
Julian Caleb Bowie'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 Processing
- Category: Python Programming
- Category: Statistical Analysis
- Category: Text Mining
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: Data Wrangling
- Category: Data Analysis
- Category: NumPy
- Category: Data-Driven Decision-Making
