Introduction to Data Science in Python
Completed by Julius Emanuel Adorf
May 27, 2018
30 hours (approximately)
Julius Emanuel Adorf'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 Processing
- Category: Data-Driven Decision-Making
- Category: Data Wrangling
- Category: Text Mining
- Category: Data Science
- Category: NumPy
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Pandas (Python Package)
- Category: Data Analysis
- Category: Statistical Analysis
- Category: Data Cleansing
