- Programming Principles
- Data Science
- Data Import/Export
- Data Manipulation
- NumPy
- Pivot Tables And Charts
- Data Transformation
- Data Preprocessing
- Data Analysis
- Data Cleansing
- Pandas (Python Package)
- Python Programming
Introduction to Data Science in Python
Completed by Milton José Acero DomÃnguez
July 20, 2021
30 hours (approximately)
Milton José Acero DomÃnguez'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
