Introduction to Data Science in Python
Completed by Anders Eivind Bråten
September 30, 2017
30 hours (approximately)
Anders Eivind Bråten'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
