Introduction to Data Science in Python
Completed by Nicolas BAKOLAS
May 26, 2019
30 hours (approximately)
Nicolas BAKOLAS'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 Wrangling
- Category: Data Analysis
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Python Programming
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Scripting Languages
