Introduction to Data Science in Python
Completed by Kyle Banta
October 31, 2017
30 hours (approximately)
Kyle Banta'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: Pivot Tables And Charts
- Category: Scripting Languages
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Transformation
- Category: NumPy
- Category: Data Processing
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Data Wrangling
- Category: Text Mining
- Category: Programming Principles
