- Data Science
- Data Transformation
- Data Import/Export
- Pivot Tables And Charts
- Data Manipulation
- Python Programming
- Data Cleansing
- Statistical Analysis
- Pandas (Python Package)
- Data Analysis
- Programming Principles
- Data Preprocessing
Introduction to Data Science in Python
Completed by Fernando Anderson Pereira de Souza
May 16, 2022
30 hours (approximately)
Fernando Anderson Pereira de Souza'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
