# Python for Data Science Course Online

Canonical URL: <https://vdci.edu/courses/python-data-science-online>

## Overview

This course centers on building practical data science skills with Python, starting from the basics and steadily moving into real analytical workflows. You'll see how Python is used to work with data, make predictions, and solve common analysis problems, while getting comfortable with key libraries like Pandas, NumPy, and Matplotlib. Everything stays hands-on, drawing on real examples and projects, so you're not just reading about concepts, you're actively putting them to use as you go.

You'll start with core Python fundamentals such as variables, data types, lists, functions, and control flow, then move into working with real datasets. As you progress, you'll clean and organize data, run analysis with Pandas and NumPy, and uncover patterns through charts and visualizations. You'll also get an introduction to machine learning concepts and where they fit into Python-based analysis. By the end, you'll have a solid grasp of how Python powers data science and the confidence to work with data in practical, real-world situations.

## What you'll learn

- Foundational programming concepts, including loops, functions, and objects
- Work with different types of data such as integers, floats, and strings
- Direct the flow of your programs using conditional statements
- Reuse and streamline code through object-oriented programming
- Analyze tabular data with NumPy and Pandas
- Build graphs and visualizations with Matplotlib
- Make predictions with linear regression using scikit-learn

## Instructors

### Garfield Stinvil — Instructor

Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently.

Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès. 

Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills.

### Colin Jaffe — Instructor

Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks.

Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit.

Colin lives in Brooklyn with his wife, two kids, and many intricate board games.

### Brian McClain — Instructor

Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. He taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College.

Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provide appraisals of art and antiques from user-uploaded images.

## Pricing

**Tuition:** $1495