Data Visualization with Plotly & Dash

Build a strong foundation in interactive data visualization and dashboard development using Plotly and Dash. Learn how to preprocess data, design advanced visualizations, build real time interactive dashboards, and deploy data driven applications for scalable business analytics.

data-visualization-with-plotly-dash

Advanced

Data Visualization

5 Days

Data Visualization

data-visualization

Online
On-site
Hybrid

Data Visualization with Plotly & Dash

Build a strong foundation in interactive data visualization and dashboard development using Plotly and Dash. Learn how to preprocess data, design advanced visualizations, build real time interactive dashboards, and deploy data driven applications for scalable business analytics.

Duration:
5 Days
Rating:
4.8/5.0
Level:
Advanced
1500+ users onboarded

Who will Benefit from this Training?

Training Objectives

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Python/Pandas/NumPy Prep
    1. Apply python/pandas/numpy prep in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Plotly Basics and Advanced Charts
    1. Apply plotly basics and advanced charts in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Dash Foundations
    1. Apply dash foundations in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Callbacks and Interactivity
    1. Apply callbacks and interactivity in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Real-Time and Live Data
    1. Apply real-time and live data in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • CSS Customization
    1. Apply css customization in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Geospatial Viz
    1. Apply geospatial viz in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Deployment
    1. Apply deployment in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Widgets
    1. Apply widgets in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Best Practices
    1. Apply best practices in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback
  • Case Studies
    1. Apply case studies in practical visualization workflows
    2. Build and refine examples using realistic datasets
    3. Check clarity, accuracy, and stakeholder readability
    4. Document choices and iterate based on feedback

Hands-on Experience with Tools

Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

Why this course

  • Interactive and Engaging Visualizations: Plotly and Dash enable the creation of interactive and engaging visualizations. Interactive visualizations captivate stakeholders, encouraging them to explore and interact with the data, leading to a deeper understanding of insights.
  • Real-Time Data Insights: Dash's capability to handle live data and dynamic updates empowers your team to visualize real-time data and swiftly respond to changing trends and patterns.
  • Data-Driven Decision Making: The combination of Plotly and Dash empowers your team to present data insights visually compellingly, enabling data-driven decision-making across the organization.

Training objectives

  • Gain proficiency in creating a wide range of interactive and static visualizations using Plotly.
  • Learn how to use Dash to construct dynamic and interactive data-driven dashboards.
  • Understand how to utilize Dash to visualize real-time or streaming data.
  • Develop skills to customize the appearance and layout of visualizations and dashboards.
  • Learn essential data preprocessing techniques using Pandas to prepare data for effective visualization and analysis with Plotly and Dash.
  • Explore advanced Plotly functionalities, including subplots, annotations, and geospatial visualizations.
  • Master Dash callbacks to establish interactivity and dynamic updating between UI components and data.
  • Understand different deployment methods to host Dash apps on servers or cloud platforms.

Who will benefit

  • Data Analysts
  • Data Scientists
  • Business Analysts
  • Data Engineers
  • IT Professionals
  • Any Professional Dealing with Data

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
Faq PlusFaq Minus

With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
Faq PlusFaq Minus

We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
Faq PlusFaq Minus

Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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