Introduction to Data Science in Python
Completed by Kurtis Walker
October 8, 2017
30 hours (approximately)
Kurtis Walker'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: Statistical Analysis
- Category: Pandas (Python Package)
- Category: Data Processing
- Category: Probability & Statistics
- Category: Data Manipulation
- Category: NumPy
- Category: Data Cleansing
- Category: Data Import/Export
- Category: Data Analysis
- Category: Programming Principles
- Category: Data Preprocessing
- Category: Text Mining
