Data Analysis for Beginners: Understand, Interpret & Visualize Data
Data Analysis is the art and science of extracting meaningful insights from raw information to inform decisions and drive improvement. The Data Analysis for Beginners: Understand, Interpret & Visualize Data course introduces learners to core analytical tools, including histograms, Pareto charts, and control charts. From understanding variation to interpreting performance metrics, each module builds analytical confidence. Learners explore how data supports process management, measures performance, and inspires positive change. This course serves as a complete foundation for anyone looking to strengthen decision-making with accurate data interpretation and effective visual storytelling.
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Course Description
Every decision hides a story, and every story begins with data. Data Analysis for Beginners: Understand, Interpret & Visualise Data opens the door to transforming numbers into narratives that shape progress. Through structured modules, learners explore how information can be interpreted, visualised, and applied to achieve measurable improvement in contexts.
This course introduces essential analytical concepts like variation, performance measurement, and control charts—tools that reveal the pulse of processes and performance. It demonstrates how the voice of the customer and the process interact, ensuring clarity between data and decision. Transitioning from simple graphs to structured analysis, it turns complexity into clarity.
By the end, learners confidently interpret trends, compare outcomes, and present meaningful findings. The course doesn’t just teach Data Analysis—it encourages critical thinking and evidence-based improvement. Whether analysing business operations, customer satisfaction, or performance results, the learner walks away ready to translate data into purposeful action.
Learning Outcome
- Interpret and communicate key patterns through Data Analysis techniques and visual tools.
- Apply Pareto charts, histograms, and control charts to evaluate process performance.
- Identify variation and determine strategies for continuous improvement using Data Analysis.
- Measure organisational performance using structured analytical frameworks.
- Present clear, evidence-backed results that support strategic decisions through data interpretation.
Who Is This Course For?
- Individuals starting their journey into Data Analysis and decision support.
- Professionals in quality management or process improvement roles.
- Team leaders seeking to interpret metrics and track progress effectively.
- Business analysts and administrators aspiring to strengthen analytical thinking.
- Anyone eager to present and visualise information with confidence.
Certificate of Achievement
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Career Path
- Data Analyst – Interprets datasets and creates reports that guide strategic initiatives. (£40,000–£60,000 per year)
- Business Intelligence Analyst – Develops dashboards and identifies opportunities through data trends. (£45,000–£65,000 per year)
- Process Improvement Specialist – Optimises workflow using performance measurement tools. (£42,000–£58,000 per year)
- Operations Analyst – Monitors and improves business efficiency using Data Analysis models. (£43,000–£62,000 per year)
- Performance Reporting Manager – Leads data-driven evaluation across departments. (£48,000–£68,000 per year)
- Data Visualisation Consultant – Designs analytical visuals for corporate insights and storytelling. (£50,000–£70,000 per year)
Curriculum
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Module 01: Introduction
00:02:00
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Module 02: Agenda and Principles of Process Management
00:06:00
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Module 03: The Voice of the Process
00:05:00
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Module 04: Working as One Team for Improvement
00:04:00
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Module 05: Exercise: The Voice of the Customer
00:03:00
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Module 06: Tools for Data Analysis
00:07:00
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Module 07: The Pareto Chart
00:03:00
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Module 08: The Histogram
00:03:00
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Module 09: The Run Chart
00:04:00
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Module 10: Exercise: Presenting Performance Data
00:05:00
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Module 11: Understanding Variation
00:06:00
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Module 12: The Control Chart
00:06:00
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Module 13: Control Chart Example
00:04:00
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Module 14: Control Chart Special Cases
00:06:00
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Module 15: Interpreting the Control Chart
00:10:00
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Module 16: Control Chart Exercise
00:07:00
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Module 17: Strategies to Deal with Variation
00:06:00
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Module 18: Using Data to Drive Improvement
00:14:00
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Module 19: A Structure for Performance Measurement
00:06:00
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Module 20: Data Analysis Exercise
00:06:00
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Module 21: Course Project
00:03:00
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Module 22: Test your Understanding
00:17:00
Offer Ends in
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Duration:2 hours, 13 minutes
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Access:1 Year
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Units:22

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