Data Visualization for Data Analysis and Analytics

Build a strong foundation in data visualization by understanding core principles, best practices, and visualization types. Learn how to analyze and interpret data, design impactful visuals, and create interactive dashboards and reports that support clear, data driven decision making.

data-visualization-for-data-analysis-and-analytics

Intermediate

Data Visualization

5 Days

Data Visualization

data-visualization

Online
On-site
Hybrid

Data Visualization for Data Analysis and Analytics

Build a strong foundation in data visualization by understanding core principles, best practices, and visualization types. Learn how to analyze and interpret data, design impactful visuals, and create interactive dashboards and reports that support clear, data driven decision making.

Duration:
5 Days
Rating:
4.8/5.0
Level:
Intermediate
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
  • Foundations and Principles
    1. Apply foundations and principles 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
  • Choosing Chart Types
    1. Apply choosing chart types 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
  • Data Prep and Encoding
    1. Apply data prep and encoding 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
  • Color and Design
    1. Apply color and design 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
  • Dashboards and Storytelling
    1. Apply dashboards and storytelling 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
  • Exploratory and Time-Series Viz
    1. Apply exploratory and time-series 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
  • Spatial and Network Viz
    1. Apply spatial and network 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
  • Interactive and Visual Analytics
    1. Apply interactive and visual analytics 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
  • Critique and Ethics
    1. Apply critique and ethics 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
  • Big Data and Streaming Viz
    1. Apply big data and streaming 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
  • Collaboration and Sharing
    1. Apply collaboration and sharing 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

  • Enhanced Understanding of Data: Data visualization transforms complex and voluminous data into visually appealing and easy-to-understand representations. Visualizations provide a visual context that facilitates comprehension and decision-making.
  • Improved Decision-Making: Effective data visualization enables businesses to make data-driven decisions confidently.
  • Communicating Insights Effectively: Visualizations are powerful tools for communicating complex data and analysis results to stakeholders across the organization.

Training objectives

  • Gain a solid understanding of the importance of Data Visualization
  • Learn Data Visualization Principles and Best Practices
  • Get introduced to various types of data visualizations and their applications
  • Develop Proficiency in Data Visualization Tools
  • Learn the techniques for designing visually appealing and informative visualizations
  • Learn how to analyze and Interpret Data through Visualization
  • Learn how to create Interactive Dashboards and Reports

Who will benefit

  • Data Analysts
  • Data Scientists
  • Business Analysts
  • Data Engineers

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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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