Introduction to Data Science in Python
Completed by Daniel Benjamin Banker
November 17, 2019
30 hours (approximately)
Daniel Benjamin Banker'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: Text Mining
- Category: Pivot Tables And Charts
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Pandas (Python Package)
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Data Analysis
- Category: Data-Driven Decision-Making
- Category: NumPy
- Category: Programming Principles
- Category: Data Transformation
