Analysis and communication
Data Analysis and Report Writing
Turn raw information into defensible findings, concise reports, and practical recommendations for managers and stakeholders.
Analyze the evidence, then communicate what it means.
For professionals who prepare analytical reports, management summaries, findings, and recommendations from operational or research data.
Structure a sound analysis from question to conclusion.
Clean, organize, summarize, and interpret evidence.
Write findings, conclusions, and recommendations clearly.
Present limitations and decisions responsibly.
Course overview
A practical, instructor-led program with guided exercises and workplace examples. Open a topic to see the coverage.
1. Introduction to Data-Driven Reporting
- Role of Data in Organizational Decision-Making
- Types of Workplace Reports
2. Understanding and Preparing Data
- Types and Sources of Business Data
- Internal operational data
3. Basic Analytical Measures
- Descriptive Data Analysis
- Totals and counts
4. Visualizing Data for Insights
- Purpose of Data Visualization
- Selecting the Right Chart for the Message
5. Interpreting Data and Identifying Insights
- Transforming Data into Meaningful Information
- Key Questions in Data Interpretation
6. Principles of Technical Report Writing
- Characteristics of Effective Technical Writing
- Clarity and precision
7. Structuring Analytical Reports
- Standard Structure of Business Reports
- Executive Summary
8. Integrating Data into Written Reports
- Explaining Tables, Charts, and Graphs in Writing
- Writing Data-Supported Statements
9. Writing Conclusions and Recommendations
- Interpreting the Significance of Findings
- Developing Actionable Recommendations
10. Reviewing and Finalizing Reports
- Checking Data Accuracy and Consistency
- Editing for Clarity and Conciseness
Full course outline
Review the complete legacy course outline, including all detailed subtopics.
View full outline
- 1. Introduction to Data-Driven Reporting
- Role of Data in Organizational Decision-Making
- Types of Workplace Reports
- Operational reports
- Analytical reports
- Performance and management reports
- Common Challenges in Data Reporting
- Too much data but limited insights
- Misinterpretation of results
- Poorly structured reports
- 2. Understanding and Preparing Data
- Types and Sources of Business Data
- Internal operational data
- Customer feedback and surveys
- Financial and performance metrics
- Preparing Data for Analysis
- Data cleaning and validation
- Handling incomplete or inconsistent data
- Organizing datasets for analysis
- Types and Sources of Business Data
- 3. Basic Analytical Measures
- Descriptive Data Analysis
- Totals and counts
- Averages and percentages
- Minimum, maximum, and ranges
- Comparative Analysis
- Variance comparisons
- Benchmark comparisons
- Identifying Patterns and Outliers
- Descriptive Data Analysis
- 4. Visualizing Data for Insights
- Purpose of Data Visualization
- Selecting the Right Chart for the Message
- Bar charts for comparisons
- Line charts for trends
- Pie charts for proportions
- Tables for detailed information
- Designing Clear and Effective Visuals
- Highlighting key insights
- Avoiding clutter and misleading visuals
- 5. Interpreting Data and Identifying Insights
- Transforming Data into Meaningful Information
- Key Questions in Data Interpretation
- What happened?
- Why did it happen?
- What does it mean for the organization?
- Linking Data Findings to Business Implications
- 6. Principles of Technical Report Writing
- Characteristics of Effective Technical Writing
- Clarity and precision
- Conciseness
- Logical organization
- Common Problems in Workplace Reports
- Wordiness and redundancy
- Lack of focus in explanations
- Characteristics of Effective Technical Writing
- 7. Structuring Analytical Reports
- Standard Structure of Business Reports
- Executive Summary
- Overview of the problem, findings, and recommendations
- Main Report Sections
- Introduction and background
- Methodology
- Findings and analysis
- Conclusions and recommendations
- 8. Integrating Data into Written Reports
- Explaining Tables, Charts, and Graphs in Writing
- Writing Data-Supported Statements
- Balancing Data and Narrative
- Providing context for numbers
- Highlighting key insights rather than listing data
- 9. Writing Conclusions and Recommendations
- Interpreting the Significance of Findings
- Developing Actionable Recommendations
- Clearly defined actions
- Evidence-based justification
- Alignment with organizational goals
- 10. Reviewing and Finalizing Reports
- Checking Data Accuracy and Consistency
- Editing for Clarity and Conciseness
- Ensuring Professional Presentation and Readability