Introduction to Data Science in Python
Completed by Alexander Segal
November 19, 2022
30 hours (approximately)
Alexander Segal'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-Driven Decision-Making
- Category: Data Processing
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Cleansing
- Category: Programming Principles
- Category: Pivot Tables And Charts
- Category: Pandas (Python Package)
- Category: Data Import/Export
- Category: Data Preprocessing
