Introduction to Data Science in Python
Completed by Kyle Drew Neal Saffy
December 23, 2019
30 hours (approximately)
Kyle Drew Neal Saffy'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: Text Mining
- Category: Python Programming
- Category: Data Cleansing
- Category: NumPy
- Category: Data Wrangling
- Category: Data-Driven Decision-Making
- Category: Probability & Statistics
- Category: Pivot Tables And Charts
- Category: Data Preprocessing
- Category: Data Science
- Category: Data Manipulation
- Category: Data Transformation
