- Data Preprocessing
- Data Analysis
- Python Programming
- Pandas (Python Package)
- Programming Principles
- Data Import/Export
- NumPy
- Data Manipulation
- Data Cleansing
- Statistical Analysis
- Pivot Tables And Charts
- Data Transformation
Introduction to Data Science in Python
Completed by Ashlesh Khajbage
May 6, 2020
30 hours (approximately)
Ashlesh Khajbage'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
