Introduction to Data Science in Python
Completed by Jason Carpenter
March 2, 2018
30 hours (approximately)
Jason Carpenter'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: Pivot Tables And Charts
- Category: Data Processing
- Category: NumPy
- Category: Data Transformation
- Category: Data Wrangling
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Science
- Category: Data Manipulation
- Category: Probability & Statistics
- Category: Pandas (Python Package)
