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Decision Making
with Data Analytics

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Duration:
3 days

Study Mode:
Online / Blended

Normal Price: USD620

Promotion:
USD310

Forthi Software Sdn Bhd

Forthi Software is one of the few software development companies in Malaysia where all software development work is undertaken wholly in Malaysia. We provide full-fledged services in the areas of web, mobile, and desktop app development. In terms of development, we especially excel in working with big data – analytics, optimization, artificial intelligence, and machine learning.

As a privately-owned MSC Pioneer Status company, Forthi consists of a young team of developers, who are passionate about technology and strive towards delivering quality development work. We work in several verticals, providing consultancy, software design, and development as well as professional services and consultancy to several verticals including Government, Financial Sector, Telecommunications, Energy and Utilities, Healthcare and Education.

Decision Making with Data Analytics

The course will expose learners to several basic analytic techniques, focusing on how to apply them in practice, interpret their output, build intuition, and leverage them in decision-making.

Learning Outcome

  1. Explain the key ideas behind fundamental techniques in data analytics.
  2. Identify new opportunities to use data analytics techniques across business domains to guide decision-making.
  3. Apply relevant techniques to novel problems using a combination of Excel and Tableau.
  4. Communicate actionable business recommendations based upon given analysis, including its limitations.
  5. Critically assess the validity of analytics-based recommendations in the context of special business decisions.

Key objectives

  1. Explain the key ideas behind fundamental techniques in data analytics, including dashboarding, classifications (e.g. logistic regression and decision trees), clustering and AB-testing.
    • Explain the key ideas behind fundamental techniques in data analytics, including dash boarding, classifications for decision making.
    • Identify new opportunities to use data analytics techniques across business domains to guide decision-making.
  2. Identify new opportunities to use these techniques across business domains to guide decision-making.
  3. Apply relevant techniques to novel problems using a combination of Excel and Tableau.
    • Application of relevant data analytics techniques for decision making using Excel.
    • Application of relevant data analytics techniques for decision making using Tableau.
  4. Communicate actionable business recommendations based upon given analysis, including its limitations.
    • Communicate actionable business recommendations based upon given analysis, including its limitations.
    • Critically assess the validity of analytics-based recommendations in the context of special business decisions.
  5. Critically assess the validity of analytics-based recommendations in the context of special business decisions.

Target Audience

  1. Supervisor
  2. Executives
  3. Managers
Thank you for your interest in
FORTHI Decision Making with Data Analytics

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