What will you learn in this Business Data Management and Communication Specialization Course
Financial Accounting Foundations: Understand the basics of analyzing balance sheets and cash flow statements, and grasp fundamental accounting concepts like accrual accounting.
Advanced Financial Accounting: Dive deeper into accounting for long-term assets, liabilities, and shareholders’ equity, and learn to evaluate cash flow statements.
Business Analytics Communication: Learn to collect, analyze, and visualize data, and use these insights to inform decision-making processes.
R Programming for Data Analysis: Gain proficiency in using R to prepare and communicate data analytics results effectively.
Information Economics and Data Monetization: Explore various ways that information can generate economic value and understand the importance of treating information as a business asset.
Information Management and Measurement: Learn to gauge the potential of valuable information and understand how to manage and measure information assets within an organization.
Program Overview
1. Financial Accounting: Foundations
⏳ 12 hours
Introduction to financial accounting information and its use by different capital market participants.
Recording financial information and producing main financial statements.
Understanding fundamental accounting concepts and revenue recognition criteria.
Accounting for short-term assets, focusing on accounts receivables and inventories.
2. Financial Accounting: Advanced Topics
⏳ 12 hours
Accounting for long-term assets and fixed assets.
Understanding accounting for liabilities and shareholders’ equity.
Evaluating the preparation and components of cash flow statements.
3. Introduction to Business Analytics: Communicating with Data
⏳ 15 hours
Identifying ideal analytic tools for specific business needs.
Collecting, analyzing, and visualizing data for decision-making.
Utilizing data in decision-making processes for organizations.
4. Introduction to Business Analytics with R
⏳ 17 hours
Using R to prepare business data for analytic tools.
Cleaning, transforming, aggregating, and reshaping data.
Understanding the interplay between business principles and data analytics.
5. Infonomics I: Business Information Economics and Data Monetization
⏳ 14 hours
Understanding information as a business asset.
Exploring methods to generate economic benefits from information assets.
Examining how information behaves in various micro-economic contexts.
6. Infonomics II: Business Information Management and Measurement
⏳ 13 hours
Adapting asset management principles to information.
Applying valuation models to gauge information’s economic benefits.
Understanding information ownership, property rights, and sovereignty.
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Job Outlook
The integration of data analysis and communication skills is increasingly vital across industries such as finance, healthcare, and technology.
Professionals adept in both data management and effective communication are in high demand for roles like Business Analyst, Data Analyst, and Financial Analyst.
The ability to monetize and manage information assets provides a competitive edge in the modern business landscape.
Specification: Business Data Management and Communication Specialization
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