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Python Data Visualization & Interactive Dashboards

Master the art of data visualization and create interactive dashboards using Python. Impress potential employers with your skills in gathering, manipulating, and analyzing real-life data through hands-on projects. Deploy your projects online and showcase your expertise in coding and analyzing data.

  • All levels
  • 18 and older
  • $1,695
  • Live Online Webinar, New York, NY & Virtually Online

Start Dates (9)

  • $1,695
  • Live Online Webinar @ Live Online Webinar, New York, NY 10001
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Class Description

Description

What you'll learn in this python class:

Use Python and its libraries to build dynamic dashboards and other data visualizations that you can deploy online and show potential employers.

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 Practical Programming.

Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

Reviews of Classes at Practical Programming (378)

(4.5-star rating across 378 reviews)
  • Python Data Visualization & Interactive Dashboards

    Anonymous review on 11/24/2017
    An illuminating course on Neural Networks and their implementation in Python. The instructor explains some of the theory at an approachable and high-level of detail.
  • Python Data Visualization & Interactive Dashboards

    Anonymous review on 8/18/2017
    Good course overall as an intro to NN & ML. Instructor was knowledgeable.
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Review Summary by CourseHorse

Students who have taken the Python Data Visualization & Interactive Dashboards class have found it to be illuminating and enjoyable. The instructor is knowledgeable and explains the theory of Neural Networks at a high level. The course is a good introduction to NN & ML and provides a solid foundation for programming. The instructor, Art, is praised for his approachability and willingness to go the extra mile to help students meet their learning goals. Some students have even found the class to be unexpectedly helpful, despite their initial doubts. Quotes: 1. "An illuminating course on Neural Networks and their implementation in Python." 2. "The instructor explains some of the theory at an approachable and high-level of detail." 3. "The class was diverse and the teacher was talented, he was able to evoke interest in the subject and patiently answered every stupid question that i had."

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