- Programming Principles
- Data Transformation
- Data Cleansing
- Data Preprocessing
- Data Science
- Pivot Tables And Charts
- Data Analysis
- Data Import/Export
- Pandas (Python Package)
- NumPy
- Data Manipulation
- Python Programming
Introduction to Data Science in Python
Completed by Samara Mishelle Oña
November 11, 2017
30 hours (approximately)
Samara Mishelle Oña'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
