Introduction to Data Science in Python
Completed by Michael Bohadana
November 15, 2016
30 hours (approximately)
Michael Bohadana'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: Data Processing
- Category: Probability & Statistics
- Category: Statistical Methods
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Text Mining
- Category: NumPy
- Category: Pandas (Python Package)
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Data Science
