- Statistical Analysis
- Programming Principles
- Data Cleansing
- NumPy
- Pandas (Python Package)
- Data Import/Export
- Pivot Tables And Charts
- Data Manipulation
- Data Analysis
- Data Science
- Data Transformation
- Data Preprocessing
Introduction to Data Science in Python
Completed by Kannan Shilen
July 17, 2024
30 hours (approximately)
Kannan Shilen'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
