Data Visualizing
About Data Visualizing
Data visualization uses visual representations to show patterns and trends in data and provide readers with easy access to key insights. Data visualization tools offer an easy approach to observing and analyzing trends, outliers, and patterns in data by utilizing visual components like charts, graphs, and maps.
Data visualizing has gained immense popularity across the globe resulting in huge demand for certified professionals.
Why is Data Visualizing important?
Business users may utilize data visualization to understand their massive data sets. They gain by being able to spot fresh patterns and data mistakes. The users can focus on locations that show red flags or progress by making sense of these patterns. This procedure then propels the company forward.
Data visualizing certified professionals, executives and managers are in high demand in companies across the globe.
Who should take the Data Visualizing Exam?
- Managers, senior executives, executives
- Business Intelligence Professionals
- ETL Developers
- SQL Developers
- Database Architects
- Mainframe Professionals
- Analytics and Testing Professionals
Knowledge and Skills required for the Data Visualizing
Critical thinking and communication skills helps candidate to gain quick success for career in data visualizing.
Skills Required
To succeed in the exam, you should have the following technical and analytical skills:
- Data Literacy
- Visualization Tools Proficiency
- Design and Communication
- Data Analysis
- Business Acumen
Course Outline: Data Visualization Practice Exam
Module 1: Introduction to Data Visualization
- What is data visualization?
- Importance of visual data communication
- Overview of common visualization tools
Module 2: Understanding Data Types and Structures
- Categorical vs numerical data
- Time series, hierarchical and geospatial data
- Dimensions and measures in visualization tools
Module 3: Chart Types and Their Uses
- Bar charts, pie charts, line graphs, scatter plots
- Histograms, box plots, heat maps
- Waterfall, bullet charts, treemaps, and Gantt charts
- Dos and don’ts of chart selection
Module 4: Data Preparation and Cleaning
- Handling missing data and duplicates
- Data transformation and aggregation
- Using calculated fields and conditional logic
- Importing and combining multiple data sources
Module 5: Tools-Specific Training
- Excel
- Pivot tables and charts
- Conditional formatting
- Dashboards with slicers and linked visuals
- Tableau
- Dimensions vs measures
- Filters, parameters, and calculated fields
- Interactive dashboards and storyboards
- Power BI
- Data model and Power Query
- DAX functions for custom metrics
- Drill-throughs and bookmarks
- Python (Optional Advanced)
- Matplotlib and Seaborn basics
- Creating custom plots with Plotly
- Jupyter Notebook integration
Module 6: Dashboard Design Principles
- Layout and user experience
- Designing for storytelling vs exploration
- Responsive and mobile-friendly dashboards
- Real-world dashboard case studies (Sales, Marketing, HR)
Module 7: Applying Visual Analytics
- Identifying patterns, trends, and correlations
- Highlighting outliers and KPIs
- Forecasting and predictive visualizations
- Business case studies and mock projects
Module 8: Sharing & Publishing Insights
- Exporting reports (PDF, PNG, CSV)
- Embedding dashboards in web portals
- Managing access and permissions (Power BI/Tableau Server)
- Version control and report refresh schedules
Module 9: Practice Exams and Mock Tests
- MCQs on chart selection, visualization best practices
- Tool-based exercises (Excel, Tableau, Power BI)
- Scenario-based problem solving
- Timed full-length practice tests
- Scorecards with analysis and improvement areas
Module 10: Final Capstone Project
- Choose a dataset (sales, finance, or marketing)
- Clean, analyze, and visualize insights
- Build and present a complete dashboard
- Peer and instructor review with feedback
Exam Format and Information
- Certification name – Certificate in Data Visualizing
- Exam duration – 60 minutes
- Exam type - Multiple Choice Questions
- Eligibility / pre-requisite - None
- Exam language - English
- Exam format - Online
- Passing score - 25
- Exam Fees - INR 1199