- Probability & Statistics
- Data Analysis
- Programming Principles
- Statistical Hypothesis Testing
- Pivot Tables And Charts
- Jupyter
- Python Programming
- Data Import/Export
- Statistical Analysis
- NumPy
- Pandas (Python Package)
- Data Cleansing
Introduction to Data Science in Python
Completed by Manas Dalakoti
October 21, 2020
30 hours (approximately)
Manas Dalakoti'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
