Introduction to Data Science in Python
Completed by Emmanuel Seynaeve
November 26, 2016
30 hours (approximately)
Emmanuel Seynaeve'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 Science
- Category: Data Cleansing
- Category: Data Manipulation
- Category: Text Mining
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Pivot Tables And Charts
- Category: Scripting Languages
- Category: Statistical Analysis
- Category: NumPy
- Category: Data Transformation
- Category: Programming Principles
