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Python Data Visualization & Interactive Dashboards

Master the art of visualizing data and creating interactive dashboards using Python. Gain hands-on experience with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Dash Enterprise. Impress potential employers with your data science skills by working on real-life projects and demonstrating your coding and analytical abilities.

  • All levels
  • 18 and older
  • $1,695
  • 185 Madison Ave, New York, NY & Virtually Online

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  • $1,695
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Class Description

Description

What you'll learn in this data science course:

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.

This course has a prerequisite:

  • Participants should attend the Python for Data Science Bootcamp prior to attending this course.

Learn more about Python Data Visualization & Interactive Dashboards at Noble Desktop.

Syllabus

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

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]"

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We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

Also available virtually online

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