Introduction to Data Science in Python
Completed by Peter James Caufield
June 20, 2019
30 hours (approximately)
Peter James Caufield'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: Statistical Methods
- Category: NumPy
- Category: Data Transformation
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Scripting Languages
- Category: Pandas (Python Package)
- Category: Data Preprocessing
- Category: Data Science
- Category: Data Manipulation
- Category: Data Cleansing
