Data Analytics With Statistical Methods for Businesses

SIM Professional Development

What are the topics?

SIM Professional Development

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Who should attend

  • (Level 2) Supervisors, Executive, & Emerging Managers
  • (Level 3) New Managers
  • (Level 4) Managers
  • (Level 5) Senior Managers & Directors

About the course

This programme provides an understanding of the principles of statistical methods and how these methods can be applied to support business decision making.

Prerequisite

The learners of this programme are expected to have prior knowledge in:

  • Basic knowledge of programming and/or scripting principles (e.g. using variables, logical operators, if ... then control, loops, ...)
  • Intermediate knowledge of data concepts (e.g. equivalent of intermediate to advanced knowledge of using spreadsheets)

Benefits to Yo

Business Outcomes

Participants will gain an in-depth understanding f statistical methods and its applications to their organisations’ problem statements with the objective of improving decisions through data.

Learning Outcomes

Upon completion of this module, the learner will be able to:

  • explain Statistical Methods in relation to Data Analytics and Data Mining
  • distinguish the characteristics of distributions and sampling methods
  • use Excel to perform examples of estimation,confidence intervals, hypothesis testing, regression analysis and correlation analysis

Programme Outline

  • Population and Sample
  • Discrete and Continuous Distribution
  • Sampling Techniques
  • Confidence Interval
  • Hypothesis Testing
  • Correlation Analysis
  • Regression

As part of the training and learning during this programme, photography and/or video recording of participants in action will be done.

Experts

Data Analytics With Statistical Methods for Businesses at SIM Professional Development

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

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