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Data Analysis Certificate for Gerhard Bekker

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Certificate ID: 
795923
Authentication Code: 
57e34
Certified Person Name: 
Gerhard Bekker
Trainer Name: 
Khobeib Mohammed
Duration Days: 
2
Duration Hours: 
14
Course Name: 
Data Analysis
Course Date: 
2025-01-20 09:00 to 2025-01-21 16:30
Course Outline: 
  1. Introduction: The Power of Data in Decision Making
    1. Importance of data-driven decision-making in modern businesses.
    2. Real-world examples of how data has transformed organizations.
  2. Ensuring Data Integrity: Trusting Your Data
    1. Definition of data integrity and why it's crucial.
    2. Factors affecting data integrity: accuracy, consistency, and timeliness.
    3. Steps to ensure and validate the credibility of data.
    4. Real-life consequences of decisions made on non-credible data.
  3. The Art and Science of Data Interpretation
    1. Introduction to Key Performance Indicators (KPIs): Definition and significance.
    2. Reading and understanding different types of graphs and charts.
    3. Identifying trends, patterns, and outliers in datasets.
    4. Practical exercises: Interpreting sample graphs and charts.
  4. Recording Performance Data: Starting from Scratch
    1. The need for recording data: Gap identification in the absence of data.
    2. Steps to begin recording data in departments.
    3. Deciding what metrics to record.
    4. Methods and tools for data recording.
    5. Ensuring consistency and standardization in the recording process.
  5. Data Storytelling: Turning Numbers into Narratives
    1. The importance of data storytelling in business communication.
    2. Basic data analysis techniques for effective storytelling.
    3. Overview of data visualization techniques: Using visuals to enhance your story.
    4. Case studies: Good and bad examples of data storytelling.
  6. Understanding KPIs: Leading vs. Lagging Indicators
    1. Definition and differences between leading and lagging KPIs.
    2. Benefits and limitations of each type of KPI.
    3. How to select the right KPI for your business objective.
    4. Examples of leading and lagging KPIs across various industries.
    5. Workshop: Aligning business goals with relevant KPIs.
  7. Course Wrap-up and Final Thoughts
    1. The integration of data in daily business processes.
    2. Encouraging a culture of data-driven decision making.
    3. Continuous learning and staying updated with data trends and technologies.
  8. Assessment/Feedback
    1. Short quiz to test knowledge retention.
    2. Feedback form to gauge course effectiveness and gather suggestions for improvement