- Data Analysis
- Pandas (Python Package)
- Python Programming
- Data Science
- NumPy
- Data Transformation
- Statistical Analysis
- Data Manipulation
- Pivot Tables And Charts
- Data Import/Export
- Data Cleansing
- Programming Principles
Introduction to Data Science in Python
Completed by RAJAT JHALANI
September 24, 2019
30 hours (approximately)
RAJAT JHALANI'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
