Introduction to Data Science in Python
Completed by Mark Bernard Groner
November 25, 2017
30 hours (approximately)
Mark Bernard Groner'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: NumPy
- Category: Data Transformation
- Category: Statistical Analysis
- Category: Data Analysis
- Category: Text Mining
- Category: Data Wrangling
- Category: Data Import/Export
- Category: Data Preprocessing
- Category: Data Cleansing
- Category: Pandas (Python Package)
- Category: Data Science
