Introduction to Data Science in Python
Completed by Marcela Jimenez-Ramos
September 14, 2019
30 hours (approximately)
Marcela Jimenez-Ramos'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-Driven Decision-Making
- Category: Python Programming
- Category: Data Processing
- Category: Data Wrangling
- Category: Data Analysis
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: NumPy
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Science
- Category: Probability & Statistics
