Online Course – Google Certified Professional Internship in Business Data Management and Communications, University of Illinois Urbana-Champaign

Discover and discern the value of information. Learners will be able to work with data, obtain valuable information, and measure its economic benefit.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding data
  • Extracting valuable information
  • Effective communication
  • Understanding the basics of analyzing balance sheets and cash flow statements
  • Understanding how accrual accounting works and basic accounting concepts
  • Learn how to collect, analyze, and visualize data and use it in decision-making processes
  • Learn how to use R to communicate data analysis results
  • Explore different ways in which information can create economic value
  • Understand how critical information is and learn how to assess the potential of valuable information

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Project Manager
  • Information Systems Manager
  • Business consultant
  • Digital Marketing Manager
  • Systems Analyst
  • bookkeeper
  • Data software developer
  • Data Scientist
  • Business Process Manager

Internship – 6-part course series

In a world driven by big data, it is important to understand how to extract valuable information from large data sets. The Business Data Management and Communication specialization is designed to offer a balanced curriculum that focuses on three aspects:

  • Understanding data
  • Extracting valuable information
  • Effective communication

Topics included:

  • Understanding the basics of analyzing balance sheets and cash flow statements
  • Understanding how accrual accounting works and basic accounting concepts
  • Learn how to collect, analyze, and visualize data and use it in decision-making processes
  • Learn how to use R to communicate data analysis results
  • Explore different ways in which information can create economic value
  • Understand how critical information is and learn how to assess the potential of valuable information

Applied Learning Project

The core idea behind the specialization is that when data and information are used effectively, they can provide significant economic benefits. The transition from raw data to valuable information involves a wealth of processes for analyzing and understanding the underlying data. Each course in the specialization will offer in-depth application and practice of data analysis.

Details of the courses that make up the specialization

Courses in Accounting and Business Analysis

Course 1: Financial Accounting: Fundamentals

Duration: 12 hours
Rating: 4.7 (4,420 ratings)

  • What you will learn:
    • Accounting information and how it is used by various participants in the capital market.
    • Recording financial information and producing key financial statements.
    • Basic accounting concepts and revenue recognition criteria.
    • Accounting management of short-term assets.
  • Skills you will acquire:
    • Financial Accounting
    • Data Analytics
    • Preparation of financial statements

Course 2: Financial Accounting: Advanced Topics

Duration: 11 hours
Rating: 4.7 (1,683 ratings)

  • What you will learn:
    • Accounting management of fixed assets.
    • Understanding liability accounting.
    • Estimating the shareholders’ equity portion of the balance sheet.
    • Understanding the preparation of the information presented in a cash flow statement.
  • Skills you will acquire:
    • Data Analytics
    • Financial analysis

Course 3: Introduction to Business Analytics: Communicating with Data

Duration: 15 hours
Rating: 4.6 (594 ratings)

  • What you will learn:
    • The course introduces the science of business analysis with an emphasis on the artistic use of data.
  • Skills you will acquire:
    • Business Analysis
    • R programming

Course 4: Introduction to Business Analysis with R

Duration: 16 hours
Rating: 4.6 (232 ratings)

  • What you will learn:
    • Process data using R and RStudio.
  • Skills you will acquire:
    • accounting
    • Data Analytics

Course 5: Infonomics I: Economics of Business Information and Data Monetization

Duration: 13 hours
Rating: 4.6 (95 ratings)

  • What you will learn:
    • Assessing the economic, accounting, and legal characteristics of information.
    • Understanding methods for creating business benefits from information assets.
  • Skills you will acquire:
    • accounting
    • Data Analytics