Vinsys
toggle
close
  • Search IconSearch
  • +971 4 3524949
  • E-mail Idenquiry@vinsys.ae
  • Home
  • Our Learning Portfolio
  • Delivery Mode
  • About
    • Why Choose Us
  • Contact Us
Let’s Talk
India
United Arab Emirates
United States of America
Saudi Arabia
Qatar
Nigeria
Oman
©1998–2024 Vinsys | All Rights Reserved

Follow Us:

facebooktwitterlinkdinyoutube
  • Privacy Policy
  • Terms & Conditions
X
Select Language
X
ENQUIRE NOW
  • Contact Us at :
    enquiry@vinsys.com
    +91 2067444700

Certified Data Visualization Professional Course

Vinsys invites you to become a master in visual communication by joining the Certified Data Visualization Professional program. This 3-day program, in collaboration with the KPI Institute, is a comprehensive training solution that provides hands-on training, detailed course materials, and a perfo

Duration Duration : 3 Days
4324
user 8765 participants
Enroll Now 
Right Img
  • business academy
  • ae
  • project management
  • certified data visualization professional course
Learn effective data visualization techniques.
Understand the SFERA Model.
Improve your decision-making skills.
An expert-led 3-day course.
OverviewLearning ObjectivesWho Should AttendPrerequisiteOutlineCertification

Course Overview

The Certified Data Visualization Professional (CDVP) program builds skills in creating, interpreting, and optimizing data visualization to improve organizations' decision-making. This hands-on training will focus on data selection, storytelling with data, data tools, and performance measurement (creating KPI dashboards to monitor performance). 

Data visualization is in demand by almost every industry that wants to track the performance of its products or services. Data visualization techniques help create an interactive visual representation through maps, slides, charts, and Excel sheets to read data accurately and make effective decisions. 

At Vinsys, our experts will familiarize you with data visualization parameters like precognitive attributes, reporting, monitoring, and governance. You will understand how to present data using PowerPoint, infographics, comic strips, animations, and other advanced tools. The course keeps you well-informed about performance reporting. We provide comprehensive guidance on the SFERA Model. The purpose of this program is to prepare you for the Certified Data Visualization Professional certification. 

Loading...

Course Objectives

This CDVP program will help you:

  • Understand how to work with challenging datasets through visual representations for data analysis.
  • Create specific data visualization tools customized for the organizational needs. 
  • Evaluate the advantages of balanced data-based decisions to help organizations identify trends and take quick actions. 
  • Understand the fundamentals of designing and creating a visual representation. 
  • Learn the proven techniques of collecting and designing standardized data inputs and outputs.
  • Analyze the key steps for improving organizational and departmental visual communication.
  • Understand the SFERA model, including structure, format, expression, and report. 
  • Evaluate visual representation checklist and data classification technique.
  • Develop leadership skills in data analysis and visual presentation.

Audience

This training suits:

  • Professionals interested in data visualization (professionals working in finance, human resource, logistics, production, IT, and design)
  • Top/middle/lower management professionals 
  • Data visualization experts (data analysts, marketing specialists, graphic designers, or any specialize in performance reporting) 

Eligibility Criteria

  • Contact our team to learn about eligibility for the program. We will be happy to assist you. 

Course Outline

Day 1: Introduction into the world of data visualization

Module 1: Data visualization parameters

  • Understanding the concept, governance & importance
  • Precognitive attributes
  • Reporting and monitoring processes
  • Fundamental principles for visualization

Activity: Answering the “W” questions.

Module 2: Content standardization

  • Methods to collect data
  • Data classification and coding
  • Content administration
  • Content design
  • Standardized input/output reports
  • Visual representation checklist

Activity: Develop checklist for visual representations.

Module 3: Channel selection

  • Maps
  • PowerPoint
  • Interactive graphics
  • Infographics
  • Prezi
  • Video doodle
  • Animations
  • Excel sheets
  • Comic strips

Activity: Select the relevant channel.

Activity: Create standards for dashboards and infographics

Day 2: The SFERA model – Part I

Module 4: Structure

  • General principles
  • Effective layouts
  • Spaces use
  • Case studies: PowerPoint, Excel, Word, Website

Activity: Avoid layout concepts without meaning.

Module 5: Format

  • Visual sufficiency
  • Best practices in designing graphs
  • Text and shapes in visual representations

Activity: Avoid format concepts without meaning.

Module 6: Express

  • Font, size, shades, and background
  • Color importance
  • Background and shades

Activity: Avoid aesthetics concepts without meaning.

Module 7: Report

  • Reporting guidelines
  • Taxonomy of reports
  • Scorecards
  • Infographics
  • Dashboards
  • Animations
  • Performance reporting

Activity: Clarity, simplicity, and efficiency for dashboards and infographics

Day 3: The SFERA model – Part II

Module 8: Reporting numbers

  • Excel, add-ons and widgets
  • Tableau
  • Google Analytics
  • SAS Visual Analytics

Module 9: Reporting text

  • PowerPoint
  • Prezi
  • Word

Module 10: Assess

  • Competency assessment
  • Activity: Self-evaluation
  • Capability assessment
  • Template structure based on guidelines
  • Style management
  • Data governance
  • Corporate colors
  • Activity: Peer evaluation
  • Common mistakes in visual representations
  • Best practices

About The Certification & Examination :

Certification:

There are three stages for the certification. Nonetheless, you will receive a:

  • Certificate of Attendance after completing 3 days of on-site training
  • Certified Data Visualization Professional diploma: Once you have finished all three stages of the learning experience.
  • To demonstrate your skills in data visualization, we recommend you take the Certified Data Visualization Professional exam.
  • We are here to assist you with any doubts you may have about the KPI Institute certification process.

Examination:

Our subject-matter experts will keep you informed about the exam format by providing samples and exercises.  Please contact us for more details.

Choose Your Preferred Mode

trainingoption

Online Training

  • Comprehensive and up-to-date learning solutions.
  • Industry-relevant knowledge to develop opportunities.
  • Transparent learning environment.
  • Practical learning approach for most courses for in-depth knowledge.
trainingoption

Corporate Training

  • Contact for workforce upskilling and reskilling.
  • Industry-relevant, hands-on, and custom training solutions. 
  • Develop work accuracy by incorporating various learning activities.
  • Committed to a sustainable workplace learning culture.

FAQ’s

Why should I choose Vinsys for KPI Institute programs?

As a leading training provider for KPI Institute courses, Vinsys is committed to ensuring the latest skills by updating courses aligned with the KPI Institute guidelines. Our certified mentors, with their extensive expertise, ensure in-depth training through hands-on training and case-based studies, instilling confidence in our participants. 
 

What is the duration of this CDVP program?

Embark on a 3-day journey to learn various proven techniques of data visualization, a program designed to equip you with practical skills and knowledge that you can immediately apply in your professional life. 

Is this course open to beginners?

While this is a professional course, it is open to individuals at all levels. If you're involved in performance reporting, this program can provide significant advantages. Contact us to discuss your eligibility and how this course can benefit you. 

What are the various modes of training you offer?

Our training delivery includes in-person/remote instructor-led classroom training, instructor-led live virtual/online training, on-demand/self-paced learning, and private/group training. 
 

Is this program open for corporations?

Yes, we offer KPI Institute courses to corporations. You can contact us for continuous training support.

How valuable is a certification from the KPI Institute?

A certification from the KPI Institute, particularly in KPI management, data analysis, and performance measurement, will enhance your job profile, providing you with practical guidance and access to a global network of professionals. 

What are the resources you provide to complete this CDVP program?

You will receive course slides, notes, links, articles, and a performance management toolkit.

Related Courses For You

Certified Data Analysis Professional (C-DAP) Course
Certified KPI Professional Course

Reviews

This is my second course after completing CDAP. I have acquired effective data visualization and analysis techniques, focusing on data selection, collection, and representation. This program has proven to be a valuable investment in my career.
Sanjay PariharProject Manager
Previously, Excel was my primary tool for visual data presentation. I now utilize a diverse range of platforms, including Infographics, PowerPoint, animations, and Prezi. This expanded toolkit has significantly enhanced the visual appeal of my data presentations, and I look forward to leveraging these skills for future projects.
Abdus-ShaheedIT Head
Our graphic design team has made significant strides in their performance thanks to the experiential learning provided by Vinsys. They have honed their skills in effective reporting. The data presentation skills have reached a new level of proficiency.
Ashutosh ShastriSoftware Engineer
This program has brought several benefits to our executives responsible for data analysis. They are skilled in developing checklists for visual representations and use better structure, format style, and channels to present data visually appealingly.
Akhdan AdamTeam Lead