Business Analytics: personalised training plan
Key Learning Objectives
Understand data-rich business environments and their commercial drivers (incl. how they differ from trad. businesses)
Understand and apply business metrics best practice (setting, measuring, reporting, decision-making)
Select and use relevant data tools to solve business problems (competitiveness, profitability, cash flow, marketing)
Understand and apply critical business metrics for internet marketing / direct-response marketing businesses
Apply data analysis best practice (framing the problem, developing robust predictive models, generating insights and value from data, visualising/communicating data and insights)
Deploy key systems/programming skills for business analysis (Advanced Excel, VBA, XML, SQL, MySQL, Tableau)
Be familiar with core ERP/business/finance systems including implementation and use, with particular reference to analysis/reporting
Understand skills required of a business data analyst and how this compares to those of a data scientist
Syllabus 2016 (Summary)
1. Business Analytics stream
A. Business metrics for data-heavy businesses
B. Data analysis in Excel
C. Data visualisation and communication
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2. Systems/Programming stream
A. Excel
B. VBA
C. XML
D. SQL / MySQL
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3. Digital Business Systems stream
A. Introduction to digital business systems
B. ERP/business systems (modular, out-of-the-box)
C. Financial systems (modular, out-of-the-box)
D. 4th generation digital systems
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