Introduction to Data Science in Python
Completed by ASKAR NURBEKOV
December 13, 2016
30 hours (approximately)
ASKAR NURBEKOV'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 Analysis
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Statistical Analysis
- Category: Data Import/Export
- Category: Data-Driven Decision-Making
- Category: Data Preprocessing
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Data Cleansing
