# Python Data Visualization & Interactive Dashboards

Canonical URL: <https://training-nyc.com/courses/python-data-visualization>

## Overview

In this course, you will learn how to gather, manipulate and analyze real-life data through hands-on projects. The class will start with the Python libraries NumPy and Pandas and then move to plotting solutions, with an emphasis on data visualization. Besides traditional plotting tools like Matplotlib and Seaborn, you will learn how to use Plotly and Dash Enterprise, a powerful tool for building dynamic dashboards.

Throughout this course, you'll gain practice by working on real-life projects that you can deploy online using Heroku server and GitHub. An analytical project on GitHub demonstrates knowledge of data science techniques and can fulfill requirements for future employment. Potential employees will want to see your approaches to coding and analyzing data.

Each day of this course is divided into two parts. In the first part of the lesson, you will learn new concepts. Then you will apply the same concepts working on a project with a topic of your choice (such as your professional field or another area of interest). The instructor will help you find an appropriate data set, explain best practices, and assist with coding.

## What you'll learn

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

## Prerequisites

Participants should attend the [Python for Data Science Bootcamp](/courses/python-data-science-nyc) prior to attending this course.

## Curriculum

### Conducting Advanced Exploratory Analysis

- NumPy array
- Array containers
- Indexing on an array
- Broadcasting
- Reshaping
- Universal functions
- Series
- DataFrame
- Slicing DataFrame
- Filtering DataFrame
- Understanding JSON
- Working with APIs

### Building Dashboards and Visualizing Data

- Dash Callbacks
- Client Callbacks
- Pattern Callbacks
- Dash core components
- Date Picker
- Date Range
- More Dash Components
- Graph
- Dash HTML Components
- Dash Styling

### Presenting Information with Conviction and Persuasion

- Dash Styling
- Dash and Bootstrap
- Creating your own Components
- Deployment
- Make a live presentation

## Schedule
- Jun 22, 2026 – Jun 25, 2026 — NYC
- Jul 7, 2026 – Jul 30, 2026 — NYC
- Aug 10, 2026 – Aug 13, 2026 — NYC
- Sep 30, 2026 – Oct 6, 2026 — NYC
- Oct 20, 2026 – Nov 12, 2026 — NYC
- Oct 25, 2026 – Nov 15, 2026 — NYC
- Nov 16, 2026 – Nov 19, 2026 — NYC
- Dec 14, 2026 – Dec 17, 2026 — NYC
- Feb 11, 2027 – Mar 9, 2027 — NYC
- Mar 7, 2027 – Mar 28, 2027 — NYC

## Pricing

**Tuition:** $1695