Visual Analytics – Data science Training

Visual Analytics – Data science

Embrace modern deployment methods and refine your automation skills, ensuring optimized performance in diverse enterprise settings. Elevate your Ansible proficiency and tackle sophisticated automation challenges.

What will you learn?

Dive deep into Ansible's capabilities with our advanced course. Designed for seasoned users, this workshop explores intricate module development, dynamic inventories, and Python API integration. Learn to customize Ansible, streamline application testing, and master integrations with AWS, Vagrant, and Docker. Embrace modern deployment methods and refine your automation skills, ensuring optimized performance in diverse enterprise settings. Elevate your Ansible proficiency and tackle sophisticated automation challenges.

In this intensive two-day course, participants will:

Gain a foundational understanding of visual analytics.
Learn the key principles behind effective data visualization.
Explore advanced charting techniques for insightful data representation.
Grasp the art of data storytelling and narrative construction.
Achieve mastery in creating powerful dashboards and infographics.
Understand common visual pitfalls and how to avoid them.
Experience real-world case studies, highlighting both successes and lessons learned.

Requirements:

Participants are recommended to have a background in analysis, statistics, and data production. However, beginners with an interest in visual analytics are welcome.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

1. Understanding Visual Analytics:

Introduction to the transformative world of visual analytics.
5 core principles of data visualization.
Comparative study: Tables vs. Charts.

2. Designing Effective Visualizations:

Gestalt Principles of Visual Perception.
Anatomy of compelling visualizations.
Selection of the right visualization based on data and audience.

3. Advanced Charting Techniques:

Mastery in Sankey diagrams, Radar charts, Treemaps, and more.
Nuances of selecting effective charts.
Techniques to cleanse and declutter charts for clarity.

4. Narrating with Data:

Significance of data storytelling.
Techniques for highlighting key insights.
Distinction between exploratory and explanatory analysis.

5. Dashboard and Infographic Mastery:

Design principles for effective dashboards and infographics.
Features of standout visual displays.
Ensuring clarity and engagement in visualization designs.

6. Avoiding Visual Pitfalls:

Overview of common visualization mistakes.
How misleading visuals can arise from inappropriate use of elements.
Ensuring accurate and honest data representation.

7. Visual Analytics in Action:

In-depth real-world case studies.
Success stories and pitfalls in visual analytics.

Hands-on learning with expert instructors at your location for organizations.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Immersive hands-on experience in a dedicated setting

*Price can range depending on number of participants, change of outline, location etc.

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Master new skills guided by experienced instructors from anywhere.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Reduced training costs

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

You can participate in a Public Course with people from other organisations.

/per trainee

Thanks for the numbers, they could be going to your emails. But they're going to mine... Thanks ;D

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Level:

Intermediate

Duration:

Hours (days:

)

Fits ideally for individuals and small groups

Networking opportunities with fellow participants.

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

Visual Analytics – Data science

What will you learn?

Requirements:

Course Outline*:

1. Understanding Visual Analytics:

2. Designing Effective Visualizations:

3. Advanced Charting Techniques:

4. Narrating with Data:

5. Dashboard and Infographic Mastery:

6. Avoiding Visual Pitfalls:

7. Visual Analytics in Action:

Get Quote for:

Visual Analytics – Data science

Start your training experience here!