- Statistical Analysis
- Programming Principles
- Pandas (Python Package)
- Python Programming
- Pivot Tables And Charts
- Data Import/Export
- Data Cleansing
- Data Science
- NumPy
- Data Manipulation
- Data Analysis
- Data Transformation
Introduction to Data Science in Python
Completed by FERNANDO ARMANDO MARTINEZ URRUTIA
January 12, 2022
30 hours (approximately)
FERNANDO ARMANDO MARTINEZ URRUTIA'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
