- Data Science
- Probability & Statistics
- Programming Principles
- Statistical Analysis
- Pandas (Python Package)
- Data Cleansing
- Data Manipulation
- Pivot Tables And Charts
- Jupyter
- Data Import/Export
- Data Analysis
- NumPy
Introduction to Data Science in Python
Completed by REGINALD CHRISTIAN (VILLA) GONZALES
April 18, 2023
34 hours (approximately)
REGINALD CHRISTIAN (VILLA) GONZALES'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
