Introduction to Data Science in Python
Completed by Alecsander Cancio Sena
July 20, 2017
30 hours (approximately)
Alecsander Cancio Sena'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 Science
- Category: Data Cleansing
- Category: NumPy
- Category: Scripting Languages
- Category: Pivot Tables And Charts
- Category: Data Import/Export
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Python Programming
- Category: Pandas (Python Package)
- Category: Data Manipulation
- Category: Probability & Statistics
