Data Management & Record – Basic Analysis

Course Objectives:

By the end of this course, participants will:

1. Understand the fundamental principles of data management and record-keeping.
2. Learn best practices for data collection, storage, and organization.
3. Develop proficiency in basic data analysis techniques.
4. Gain hands-on experience using spreadsheet tools for data processing.
5. Understand data security and compliance requirements.
6. Learn how to generate reports and visualizations for decision-making.

Learning Outcomes:

Upon completion of the training, participants will be able to:

1. Define key concepts of data management and record-keeping.
2. Organize and store data effectively using digital tools.
3. Perform basic data analysis, including sorting, filtering, and summarization.
4. Use spreadsheet functions such as pivot tables and formulas to analyze data.
5. Create basic charts and reports for data presentation.
6. Apply data security measures to protect sensitive information.
7. Identify compliance requirements relevant to their organization’s data.

Course Outline:

Module 1: Introduction to Data Management & Records

• Definition and Importance of Data Management
• Types of Data and Records
• Data Lifecycle: Creation, Storage, Use, and Disposal

Module 2: Data Collection & Organization

• Data Entry Best Practices
• Structuring and Categorizing Data
• Common Data Management Tools

Module 3: Data Storage and Security

• Digital vs. Physical Data Storage
• Data Backup Strategies
• Security Measures and Access Controls
• Legal and Compliance Considerations

Module 4: Basic Data Analysis Techniques

• Sorting and Filtering Data
• Data Cleaning and Validation
• Introduction to Data Summarization (Totals, Averages, Counts)

Module 5: Using Spreadsheets for Analysis

• Basic Excel/Google Sheets Functions (SUM, AVERAGE, COUNT, etc.)
• Conditional Formatting
• Pivot Tables for Quick Analysis
• Basic Chart Creation (Bar, Line, Pie Charts)

Module 6: Reporting & Visualization

• Principles of Effective Data Presentation
• Creating Dashboards and Reports
• Sharing and Collaborating on Data Insights

Module 7: Data Security and Compliance

• Understanding Data Privacy Laws
• Best Practices for Data Protection
• Ethical Considerations in Data Management

Module 8: Practical Workshop & Case Studies

• Hands-on Exercises with Real-world Data Sets
• Group Analysis and Presentation
• Q&A and Troubleshooting Common Data Challenges

Training Methodology:

• Instructor-led Sessions: Lectures and discussions on key topics.
• Hands-on Practice: Practical exercises using spreadsheet software.
• Case Studies: Real-world scenarios to enhance learning.
• Group Activities: Collaborative data analysis tasks.
• Q&A Sessions: Interactive discussions for participant queries.
• Assessments & Feedback: Quizzes and evaluations to measure understanding.