- Data Analysis
- Programming Principles
- Data Cleansing
- Pivot Tables And Charts
- NumPy
- Data Science
- Statistical Analysis
- Probability & Statistics
- Jupyter
- Pandas (Python Package)
- Data Manipulation
- Data Import/Export
Introduction to Data Science in Python
Completed by SALEH EDDINE LKOLLI
October 7, 2023
34 hours (approximately)
SALEH EDDINE LKOLLI'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
