Data Analysis and Visualization with Tableau

Build a strong foundation in data visualization and analytics using Tableau to support informed business decision making. Learn how to design impactful dashboards, uncover insights through data exploration, apply advanced analytics techniques, and communicate data driven stories effectively across teams.

data-analysis-and-visualisation-with-tableau

Advanced

Data Visualization

5 Days

Data Visualization

data-visualization

Online
On-site
Hybrid

Data Analysis and Visualization with Tableau

Build a strong foundation in data visualization and analytics using Tableau to support informed business decision making. Learn how to design impactful dashboards, uncover insights through data exploration, apply advanced analytics techniques, and communicate data driven stories effectively across teams.

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
  • Tableau Foundations
    1. Apply tableau 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
  • Connect and Prep Data
    1. Apply connect and prep 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
  • Visual Encodings and Basic Charts
    1. Apply visual encodings and basic 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
  • Advanced Charts and Maps
    1. Apply advanced charts and maps 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
  • Calculations, Parameters, and Filters
    1. Apply calculations, parameters, and filters 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 Dashboards and Stories
    1. Apply interactive dashboards and stories 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
  • Analytics and Time Series
    1. Apply analytics and time series 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
  • Publish and Collaborate
    1. Apply publish and collaborate 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
  • Governance and Security
    1. Apply governance and security 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
  • Performance
    1. Apply performance 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
  • Extensions and Real-Time Analysis
    1. Apply extensions and real-time analysis 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

  • Data Exploration and Analysis: Tableau enables businesses to explore and analyze large datasets quickly and efficiently. Its intuitive drag-and-drop interface allows users to gain valuable insights for decision-making.
  • Interactive and Dynamic Dashboards: Tableau empowers businesses to create interactive dashboards that offer real-time updates and allow users to explore details.
  • Improved Data-Driven Decision-Making: By using Tableau for data visualization and analysis, businesses can make data-driven decisions based on accurate insights.

Training objectives

  • Understand the fundamentals of data visualization and its importance in corporate decision-making processes
  • Gain proficiency in using Tableau Desktop, including connecting to various data sources, manipulating data, and creating visualizations.
  • Learn best practices for designing visually appealing and informative dashboards and reports.
  • Cultivate the capability to recognize patterns, trends, and insights within data by conducting interactive exploration and analysis in Tableau.
  • Enhance data storytelling skills by effectively communicating insights and findings through visualizations.
  • Discover advanced features and techniques in Tableau for complex data analysis, calculations, and predictive analytics.
  • Promote collaboration and teamwork by utilizing Tableau's sharing and publishing features in corporate environments.

Who will benefit

  • Data Analysts
  • Data Scientists
  • Data Professionals
  • IT Professionals

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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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