Introduction to Data Science in Python
Completed by Cristinel Mateis, PhD
November 21, 2016
30 hours (approximately)
Cristinel Mateis, PhD'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: NumPy
- Category: Statistical Analysis
- Category: Text Mining
- Category: Statistical Methods
- Category: Probability & Statistics
- Category: Data Wrangling
- Category: Data Analysis
- Category: Pivot Tables And Charts
- Category: Data Cleansing
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
