Introduction to Data Science in Python
Completed by MIchael Akers
September 21, 2017
30 hours (approximately)
MIchael Akers'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: Statistical Analysis
- Category: Data Analysis
- Category: Data Wrangling
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Import/Export
- Category: Data Transformation
- Category: NumPy
