Certified Data Visualization Professional

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WHY CHOOSE A DATA VISUALIZATION PROFESSIONAL CERTIFICATION?

The Data Visualization Certification course provides the artistry required by any Data Visualization Professional in his every day job, including the Performance Management concept. Through insightful examples, case-studies and best case practices, you will understand how to create visual representations to support the decision making process and allow quick transmission of information.

Course Name	Language	Delivery Type	Location	Region	More details
C-DV	English	Live Online	Zoom	EMEA	View more >
C-DV	English	Live Online	Zoom	ASEAN	View more >
C-DV	Arabic	Live Online	Zoom	EMEA	View more >
C-DV	English	Face-to-face	Dubai	EMEA	View more >
C-DV	English	Face-to-face	Kuala Lumpur	ASEAN	View more >

WHY BECOME CERTIFIED IN DATA VISUALIZATION?	WHAT ARE THE MAIN BENEFITS?
Make a difference Not only will you deliver exceptional visual representations, but you will be able to manage, monitor and evaluate your overall Data Visualization Performance.	Recognition and endorsement Boost your professional reputation and position yourself as a Data Visualization Professional. 81% of hiring managers feel certified individuals are more effective. (Steenbrugge, S., Microsoft partner network trainings, 2014)
Worldwide recognition Our Certification is recognized and delivered worldwide, offering design solutions for visually encoding and presenting data	Career advancement Ranking after popularity, Data Visualization is among the top 5 most required job skill. Permanent jobs citing Data Visualization are 5 times greater now than in 2013. (ITJobsWatch, Data visualization jobs, 2015)
Overall applicability Regardless of your industry, we provide best practices for visual representations which can be tailored for any of your specific needs.	Financial stability Average job salaries in the field of Data Visualization have almost doubled since 2012. Specialists accredited in Performance Management earn 3 times more revenue per deal. (ITJobsWatch, Data visualization jobs, 2015)

KEY LEARNING OBJECTIVES

The training course provides the pillars, tools and resources required for an immediate application and implementation of the skills gained in your own organization. To ensure a smooth learning experience we offer you toolkits, templates, case studies, good practice examples from some of the most successful organizations worldwide, as well as thought-provoking exercises. You will also receive access to the smartKPIs.com premium content- the world’s largest database of documented KPIs.

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Certified Data Visualization Professional	Module	What you’ll learn
	1. Data Visualization Parameters	Recognizing importance of data visualization Differentiating between different data communication formats Comparing between the pros and cons of each group of data visualization tools Evaluate how data reporting supports business decisions by transforming raw data into insights using the DIKW hierarchy.
	2. Data Collection and Preparation	Explain the main steps of the data analysis process and how they support better business decisions. Recognize key data collection methods. Identify internal and external data sources. Explaining what data quality is and why it is important.
	3. Visual Communication Channels	Identifying what spreadsheets, charts, BSC, and dashboards are and how they can be used as data communication channels. Differentiating between dashboards and SSBI systems. Identifying what a data presentation is and how it can be used as a data communication channel. Recognizing infographics, video-graphics and video-doodles and their uses.
	4. Visualization Structure	Recognizing what grids are and how to consider them when designing a visualization. Explaining the relationship between layout and diagrams. Differentiating between good and bad structure in visualizations.
	5. Visualization Format	Recognizing main typography types and psychology behind them. Identifying icons, their use, and the important factors to consider when using them. Differentiating between good and bad practices in visualization formats.
	6. Visualization Express	Recognizing the color wheel and some color palette combinations. Explaining the relationship between colors and psychological effects. Exemplifying how to choose the right colors for charts, dashboards, and BSCs.
	7. Reporting I: Creating Pivot Charts Using MS Excel	Recognizing the aims of data reporting and the DV capabilities of MS Excel. Producing line and area charts to visualize time series data. Recognizing how to visualize comparisons and part-of-whole data. Recognizing what data distribution is and geographical data components. Producing image charts from MS Excel with the desired quality.
	8. Reporting II: Creating Dashboards Using Excel and Power BI	Generating dashboards in Excel and Power BI. Generating and editing charts in Power BI. Recognizing possible interactivity options and different sharing possibilities in Power BI.
	9. Reporting III: Creating Scorecards Using Excel	Generating well-designed scorecards in Excel. Applying formatting to scorecards in Excel. Using formulas to create dynamic indicators.
	10. Reporting IV: Data Presentations and Data Storytelling	Evaluate how storytelling transforms data into strategic insights. Synthesize narrative and visuals to influence decisions. Design data presentations using the Data Storytelling Arc. Judge the effectiveness of storytelling approaches for different business cases.
	11. Visualization Assessment	Evaluating charts effectiveness. Evaluating dashboards effectiveness. Evaluating BSCs effectiveness. Critiquing visualizations in a group setting.