# Python Data Visualization & Interactive Dashboards Course Online

Canonical URL: <https://vdci.edu/courses/python-data-visualization-interactive-dashboards-course-online>

## Overview

In this course, you'll learn how to gather, manipulate, and analyze real-world data through hands-on projects. Starting with the Python libraries NumPy and Pandas, you'll then move into exploring various plotting solutions with a focus on data visualization. Alongside traditional tools like Matplotlib and Seaborn, you'll also learn to use Plotly and Dash Enterprise, both powerful options for creating dynamic dashboards.

As you progress, you'll gain valuable experience working on real-life projects that can be deployed online using Heroku and GitHub. Your analytical projects on GitHub will showcase your data science skills and demonstrate your approach to coding and analysis, which can prove crucial when seeking future employment. Each lesson is split into two parts: first you'll learn new concepts, then you'll apply them to a project of your choice, whether it ties into your professional field or another area of interest. The instructor will guide you in selecting a suitable dataset, walk through best practices, and help with coding as needed.

## What you'll learn

- Plan and present a data story
- Gather and manipulate data from different sources
- Uncover data stories through exploratory data analysis
- Manipulate data with the NumPy and Pandas libraries
- Use advanced Python visualization libraries like Plotly and Dash
- Build a dashboard
- Apply the rules of effective dashboard design to create professional data science solutions
- Go live with your project and deploy the dashboard on a live server

## Prerequisites

Participants should attend the [Python for Data Science Course Online (Self-Paced)](https://vdci.edu/courses/python-data-science-online) prior to attending this course.

## 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:** $1695