Introduction to Data Science in Python
Completed by Jason Alan Sulskis
January 5, 2017
30 hours (approximately)
Jason Alan Sulskis'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 Analysis
- Category: Data Wrangling
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: NumPy
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Data Import/Export
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Preprocessing
- Category: Data-Driven Decision-Making
