Introduction to Data Science in Python
Completed by William Takahiro Maruyama
April 21, 2017
30 hours (approximately)
William Takahiro Maruyama'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 Transformation
- Category: Data Processing
- Category: NumPy
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Text Mining
- Category: Data Analysis
- Category: Scripting Languages
- Category: Pivot Tables And Charts
- Category: Data Import/Export
