Introduction to Data Science in Python
Completed by Cristian-Ionut Daneasa
December 2, 2018
30 hours (approximately)
Cristian-Ionut Daneasa'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: Python Programming
- Category: Data Processing
- Category: Text Mining
- Category: Statistical Analysis
- Category: NumPy
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data-Driven Decision-Making
- Category: Pivot Tables And Charts
- Category: Programming Principles
