



Julia Yelvington
Program Summary
Earners of the Foundations of Data Science with Python Certificate have gained statistical analysis and Python programming skills necessary for business and data analyst roles across a range of companies. They are able to perform exploratory data analysis, construct a predictive model, perform an end-to-end analysis on real-world data using Python packages including NumPy, pandas, and matplotlib, and organize Python code within a Jupyter notebook.
Outcomes/Objectives
Recipients of the Data Science with Python Certificate demonstrate the ability to:
Use Python, NumPy, pandas, and matplotlib for data analysis and visualization.
Write and execute organized code in Jupyter notebooks.
Apply statistical methods to analyze and interpret data.
Perform exploratory data analysis (EDA) to identify patterns and clean data.
Build and evaluate predictive models for business applications.
Complete end-to-end data workflows and present insights effectively.
Deliverable
The deliverables include:
Final project report
Demo
Code
Presentation
Program Duration
6 weeks
As of December 2021, the Foundations of Data Science with Python Certificate is no longer being actively awarded.
Skills / Knowledge
- Numpy
- Data Wrangling with Pandas
- Data Analysis
- Basic Statistical Analysis
- Advanced Python Concepts