Comprehensive Digital Productivity & Data Analysis
About This Course
The Comprehensive Digital Productivity & Data Analysis Program is a six-month professional training program designed to equip participants with advanced digital workplace skills, structured data management competence, and practical analytical capabilities required in modern organizations. The program integrates Google Workspace tools (Docs, Sheets, Slides, Forms) with SPSS statistical software to develop professionals who can efficiently manage digital workflows, design data systems, analyze datasets, and produce evidence-based reports for decision-making.
Learning Objectives
Demonstrate professional digital workplace competence using Google Workspace tools
Organize, clean, and manage structured datasets in Google Sheets
Design and administer digital data collection tools using Google Forms
Apply descriptive statistical techniques using SPSS
Interpret statistical outputs accurately and responsibly
Develop dashboards and visual data summaries for reporting
Write structured analytical reports using Google Docs
Deliver professional data-driven presentations using Google Slides
Integrate digital productivity and analytical tools to support evidence-based decision-making
Apply ethical and responsible AI usage within digital and analytical workflows
Curriculum
MODULE 1: Digital Workplace Foundations & Cloud Productivity
This module introduces participants to professional digital behavior and the Google Workspace ecosystem. It establishes foundational competence in cloud collaboration, digital organization, cybersecurity awareness, and ethical AI use.
Key Areas:
Digital professionalism and remote work etiquette
Google Drive organization and file management
Version control and collaboration tools
Cybersecurity basics
Data privacy and ethics
Introduction to AI in the workplace
Ethical AI usage and bias awareness
Prompt writing fundamentals
MODULE 2: Google Docs for Professional Documentation
This module develops structured professional writing skills using Google Docs. Participants learn to produce well-formatted reports, apply collaboration features, and maintain document standards for institutional environments.
Key Areas:
Professional report formatting
Styles and structured headings
Automated table of contents
Commenting and suggestion tools
Citation basics
Document templates
MODULE 3: Google Sheets for Data Management
This module builds spreadsheet proficiency for data organization and basic analysis. Participants learn how to structure, clean, and summarize data effectively.
Key Areas:
Spreadsheet structure and organization
Core formulas (SUM, AVERAGE, IF, COUNT, VLOOKUP)
Data cleaning techniques
Sorting and filtering
Conditional formatting
Basic chart development
MODULE 4: Google Slides & Data Presentation
This module focuses on professional presentation design and data storytelling. Participants learn how to transform data into visually clear and persuasive presentations.
Key Areas:
Slide design principles
Data visualization basics
Chart integration from Sheets
Storytelling techniques
Presentation delivery skills
MODULE 5: Introduction to Data & Basic Statistics
This module establishes statistical literacy. Participants learn foundational data concepts required before applying software-based analysis.
Key Areas:
Types of data
Variables and measurement scales
Mean, median, and mode
Percentages
Table interpretation
Common data errors
MODULE 6: Digital Data Collection Using Google Forms
This module focuses on designing structured digital data collection systems. Participants learn to create reliable surveys and manage collected data effectively.
Key Areas:
Survey design principles
Question types
Skip logic
Data validation
Exporting responses to Sheets
Data cleaning
MODULE 7: SPSS for Data Analysis
This module introduces practical statistical analysis using SPSS. Participants conduct descriptive analysis and interpret statistical outputs for reporting purposes.
Key Areas:
SPSS interface navigation
Data entry and variable labeling
Descriptive statistics
Frequencies
Cross-tabulation
Correlation basics
Output interpretation
MODULE 8: Data Visualization & Dashboard Development (Google Sheets)
This module develops skills in transforming analyzed data into dashboards and visual summaries suitable for decision-makers.
Key Areas:
Advanced chart types
Pivot tables
Dashboard structure
KPI development
Data storytelling
Your Instructors
