Introduction to Data Science in Python
Completed by Nidhin Jacob Thomas
September 25, 2017
30 hours (approximately)
Nidhin Jacob Thomas'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: Probability & Statistics
- Category: Data Science
- Category: Statistical Methods
- Category: Programming Principles
- Category: Python Programming
- Category: Data Manipulation
- Category: Pandas (Python Package)
- Category: Data Cleansing
- Category: Data Import/Export
- Category: Data Preprocessing
