Business Data Management and Communication Specialization Course Syllabus

Overview: This specialization provides a comprehensive curriculum that integrates financial accounting, data analytics, and business communication to equip professionals with the skills needed to manage and communicate data effectively in a business context. The program consists of six modules, totaling approximately 78 hours of learning, and is designed for working professionals seeking flexible, self-paced study. Learners will gain hands-on experience with R programming, understand financial statements, and learn to treat information as a strategic asset. A final project synthesizes skills in data analysis, visualization, and communication for real-world business impact.

Module 1: Financial Accounting: Foundations

Estimated time: 12 hours

• Introduction to financial accounting information and its use by capital market participants
• Recording financial transactions and producing main financial statements
• Understanding fundamental accounting concepts and revenue recognition criteria
• Accounting for short-term assets, including accounts receivables and inventories

Module 2: Financial Accounting: Advanced Topics

Estimated time: 12 hours

• Accounting for long-term and fixed assets
• Understanding accounting for liabilities and shareholders’ equity
• Evaluating the preparation and components of cash flow statements

Module 3: Introduction to Business Analytics: Communicating with Data

Estimated time: 15 hours

• Identifying appropriate analytic tools for specific business needs
• Collecting, analyzing, and visualizing data for decision-making
• Utilizing data insights in organizational decision processes

Module 4: Introduction to Business Analytics with R

Estimated time: 17 hours

• Using R to prepare business data for analytics
• Cleaning, transforming, aggregating, and reshaping data
• Understanding the interplay between business principles and data analytics

Module 5: Infonomics I: Business Information Economics and Data Monetization

Estimated time: 14 hours

• Understanding information as a business asset
• Exploring methods to generate economic value from information
• Examining information behavior in micro-economic contexts

Module 6: Infonomics II: Business Information Management and Measurement

Estimated time: 13 hours

• Adapting asset management principles to information
• Applying valuation models to assess economic benefits of information
• Understanding information ownership, property rights, and sovereignty

Prerequisites

• Familiarity with basic accounting principles
• Foundational knowledge of data analysis concepts
• Basic computer literacy and comfort with quantitative reasoning

What You'll Be Able to Do After

• Analyze financial statements including balance sheets and cash flow statements
• Use R programming to clean, transform, and analyze business data
• Communicate data-driven insights effectively to stakeholders
• Apply business analytics to support organizational decision-making
• Evaluate and monetize information as a strategic economic asset