- Jupyter
- Data Analysis
- Pandas (Python Package)
- NumPy
- Data Science
- Data Cleansing
- Programming Principles
- Pivot Tables And Charts
- Data Import/Export
- Data Manipulation
- Probability & Statistics
- Statistical Analysis
Introduction to Data Science in Python
Completed by Alexandros Mandilaras
March 30, 2022
34 hours (approximately)
Alexandros Mandilaras'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
