Introduction to Data Science in Python
Completed by Alexander Yuri Zakharenkov
November 21, 2016
30 hours (approximately)
Alexander Yuri Zakharenkov'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: Probability & Statistics
- Category: Data-Driven Decision-Making
- Category: Data Processing
- Category: Data Transformation
- Category: Scripting Languages
- Category: NumPy
- Category: Data Cleansing
- Category: Data Manipulation
- Category: Pivot Tables And Charts
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Programming Principles
