Introduction to Data Science in Python
Completed by Jiabin Lin
November 2, 2017
30 hours (approximately)
Jiabin Lin'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: Scripting Languages
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: NumPy
- Category: Statistical Methods
- Category: Probability & Statistics
