Dash Plotly Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Dash Plotly Training Course Overview

Dash Plotly is a powerful Python framework for creating interactive and visually appealing web-based dashboards and data visualization applications. Multisoft Systems offers an expert-led Dash Plotly Training designed for data analysts, data scientists, and Python developers who want to master dynamic and interactive data visualizations. In this comprehensive training, you will learn how to integrate Dash with Plotly and Flask, create responsive dashboards, handle real-time data updates, and implement interactive UI elements such as dropdowns, sliders, and graphs. You will also explore best practices for data visualization, data transformation, and dashboard deployment to cloud environments. This hands-on course provides practical projects, real-world applications, and expert guidance, ensuring that you gain a strong foundation in Dash and Plotly. Whether you’re working with large datasets, financial analytics, or IoT applications, this training will equip you with the skills to build compelling visual dashboards.

By the end of this course, you will be able to design and deploy customized dashboards, analyze complex datasets, and enhance decision-making through data-driven insights. Enroll now with Multisoft Systems and take your data visualization expertise to the next level with Dash Plotly!

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Dash Plotly Training Course curriculum

Curriculum Designed by Experts

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Dash Plotly is a powerful Python framework for creating interactive and visually appealing web-based dashboards and data visualization applications. Multisoft Systems offers an expert-led Dash Plotly Training designed for data analysts, data scientists, and Python developers who want to master dynamic and interactive data visualizations. In this comprehensive training, you will learn how to integrate Dash with Plotly and Flask, create responsive dashboards, handle real-time data updates, and implement interactive UI elements such as dropdowns, sliders, and graphs. You will also explore best practices for data visualization, data transformation, and dashboard deployment to cloud environments. This hands-on course provides practical projects, real-world applications, and expert guidance, ensuring that you gain a strong foundation in Dash and Plotly. Whether you’re working with large datasets, financial analytics, or IoT applications, this training will equip you with the skills to build compelling visual dashboards.

By the end of this course, you will be able to design and deploy customized dashboards, analyze complex datasets, and enhance decision-making through data-driven insights. Enroll now with Multisoft Systems and take your data visualization expertise to the next level with Dash Plotly!

  • Understand the fundamentals of Dash and Plotly for data visualization.
  • Create interactive dashboards with Python and integrate them with web applications.
  • Develop real-time data visualizations using live data updates and user interactions.
  • Implement UI components like dropdowns, sliders, buttons, and input fields for enhanced user experience.
  • Integrate Dash with Plotly for advanced graphing and data representation.
  • Work with callbacks to build dynamic and responsive dashboards.

Course Prerequisite

  • Basic knowledge of Python programming
  • Understanding of data visualization concepts
  • Familiarity with Pandas and NumPy for data manipulation

Course Target Audience

  • Data Analysts
  • Data Scientists
  • Python Developers
  • Business Intelligence (BI) Professionals
  • Machine Learning Engineers
  • Financial Analysts
  • IT Professionals
  • Software Engineers
  • AI & ML Enthusiasts
  • Web Developers Interested in Data Visualization
  • Anyone Looking to Master Interactive Dashboards

Course Content

  • Introduction to Pandas (Python programming language for data manipulation and analysis)
  • Understanding Series, Data Frame (rows and columns)
  • Create Data Frame and using List and Dictionary
  • Addition, Subtraction of Columns
  • Column Deletion
  • Row or column selection

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  • How to import csv files
  • How to take information about the different types of variables it contains
  • How to extract information about the total rows and columns it has
  • How to subset the data from that file
  • Removing negative values, replacing missing values with central tendencies
  • Creating/evaluating a new column in an existing dataset
  • Renaming variable names, adding data labels
  • Filtering data according to a specific condition
  • Appending Data sets
  • Merging data sets, Removing duplicates
  • Sorting data-ascending/descending order - wrt one /two vbls
  • Creating Summaries/Reports/Tables - What a Pivot do in MS-Excel
  • Transposing a dataset

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  • Plotting graph
  • Different main function of labeling graphs
  • Styling the graph

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4.1 Understanding of HTML and CSS

  • Introduction to HTML
  • HTML and Web Browsers
  • Structure of HTML Document
  • HTML Elements and Attributes
  • Creating and Opening HTML Files
  • Basic Elements
  • Formatting Elements
  • Displaying Images
  • Hyperlinks
  • Tables
  • HTML Forms
  • HTML Input Elements
  • HTML5 Overview
  • History of HTML5
  • The HTML5 vision
  • WHATWG and W3C specifications
  • What is part of HTML5?
  • HTML5 roadmap
  • HTML5 Markup
  • HTML5 page structure
  • HTML5 DOCTYPE
  • HTML5 markup
  • Structural elements
  • Semantic elements
  • Deprecated elements
  • HTML5 and CSS 
  • HTML5 Forms
  • HTML5 form elements
  • Building HTML5 forms
  • Using HTML5 forms

4.2 CSS

  • CSS Overview
  • Selectors
  • Styles
  • Applying Styles
  • Inline Styles
  • Embedded Styles
  • External Styles
  • Relationship between XHTML/HTML and CSS
  • CSS Tags and Structure
  • CSS3
  • CSS3
  • Borders
  • CSS3 Backgrounds
  • CSS3 Text Effects
  • CSS3 Fonts
  • CSS3 2D Transforms
  • CSS3 3D Transforms
  • CSS3 Transitions

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  • Overview
  • Installation
  • Dash App
  • Connecting to data base
  • Dash Callbacks
  • Data Visualization
  • Dash Controls
  • Dash Controls Code Breakdown
  • Styling App with HTML and CSS
  • DDK (Dash Design Kit)
  • Dash Bootstrap
  • Dash Machine Components
  • Dash Core Components
  • DropDown
  • Slider
  • RangeSlider
  • Input
  • TextArea
  • CheckBox
  • RadioItems
  • Button
  • Date Picker Simgle
  • Date Picker Range
  • Mark Down
  • Tabs
  • Graphs
  • Confirm Dialog
  • Store
  • Locations
  • Data Table

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Dash Plotly Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Dash Plotly Corporate Training

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  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Dash Plotly Training FAQ's

Dash Plotly training is a specialized course that teaches how to create interactive, web-based dashboards using Python, Plotly, and Dash. It covers data visualization, UI components, callbacks, and real-time data updates.

This course is ideal for data analysts, data scientists, Python developers, BI professionals, ML engineers, financial analysts, and IT professionals interested in building interactive dashboards.

Participants should have a basic understanding of Python, data visualization, Pandas, and NumPy. Some knowledge of HTML/CSS and Plotly is helpful but not mandatory.

You will learn how to build interactive dashboards, integrate UI components, use callbacks for interactivity, handle real-time data updates, deploy dashboards on cloud platforms, and optimize performance.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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