Moving towards Data-Driven Accounting – Analytics and Visualization

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Duration: 4 Days

In the data-driven world today, accounting related organizations are facing a demanding and fluctuating business environment. With the enablement of productivity optimization through newer accounting technologies that become more automated, the role of new accountant is shifting into a business advisor, which requires new skill-sets – professional skepticism, judgement, and critical thinking skills. To be aligned with market demand, the organizations will need to incorporate data analytics into their own business models. This shift in accounting technology requires new accountants to also have stronger analytical skills in order to remain competitive in the accounting job market. This introductory course will help you to get adapted and move towards to the data-driven accounting world.

  • Develop an analytical mindset in the domain of accounting 
  • Analyze data to find actionable insights
  • Apply analytical approaches to extract useful information from accounting data
  • Apply principles to create effective visualizations
  1. Introduction to Accounting Analytics
    • History and Future of Accounting
    • Data Analytics in Accounting
    • New Role of Accountants
    • Advanced Data Analytics Overview (Managerial Accounting, Auditing, Financial Accounting, Taxes and Systems Accounting)
  2. Analysis and Analytics Mindset in Accounting
    • Characteristics of an Analytical Mindset
    • Inductive and Deductive Reasoning
    • Advanced Analytics and the Art of Persuasion
    • Analytical Framework
  3. Data Management and Preparation
    • Useful Data for Decision Making
    • Structured vs. Unstructured Data
    • Data Types
    • Data Merging and Transformation
    • Data Automation
    • Visualizing Data Relationship
  4. Data Analytics in Accounting I
    • Correlation ▪ Linear Models
    • Simple Regression and Multiple Regression
    • Regression Diagnostics ▪ Forecasting with Linear Model
  5. Data Analytics in Accounting II
    • Categorical Variables
    • Interaction Terms
    • Regression Summary
    • Optimization and Transformation
    • Logistic Regression
    • Clustering
  6. Data Visualization in Accounting
    • Visualization Overview
    • Visual Perception Principles
    • Different Types of Chart Visualization

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