Effective Business Decisions Using Data Analysis

21-07-2025 - 25-07-2025 3800 دبي

Course Introduction:

 

This interactive course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

 

Course Objectives:

 

 

By the end of this training program, delegates will be able to:

  • Appreciate data analytics in a decision support role.
  • Explain the scope and structure of data analytics.
  • Apply a cross-section of useful data analytics.
  • Interpret meaningfully and critically assess statistical evidence.
  • Identify relevant applications of data analytics in practice.

 

Who Should Attend?

 

  • Professionals in management support roles
  • Analysts who typically encounter data / analytical information regularly in their work environment
  • Those who seek to derive greater decision making value from data analytics  

 

Course Outline:

 

Setting the Statistical Scene in Management

  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality and data preparation)
  • Exploratory data analysis using excel (pivot tables)
  • Using summary tables and visual displays to profile sample data

 

Evidence-based Observational Decision Making

  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures

         

Statistical Decision Making – Drawing Inferences from Sample Data

  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation

 

Statistical Decision Making – Drawing Inferences from Hypotheses Testing

  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations

 

Predictive Decision Making - Statistical Modeling and Data Mining

  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

 

Course Fees:

 

To be advice as per course location. This rate includes participant’s manual, Hands-Outs, buffet lunch, coffee/tea on arrival, morning & afternoon of each day.

 

Course Certificate:

 

International Center for Training & Development (ICTD) will award an internationally recognized certificate(s) for each delegate on completion of training.

 

Course Methodology:

 

A variety of methodologies will be used during the course that includes:

  • (30%) Based on Case Studies
  • (30%) Techniques 
  • (30%) Role Play
  • (10%) Concepts
  • Pre-test and Post-test
  • Variety of Learning Methods
  • Lectures
  • Case Studies and Self Questionaires
  • Group Work
  • Discussion
  • Presentations

 

Course Fees:

 

To be advice as per course location. This rate includes participant’s manual, Hands-Outs, buffet lunch, coffee/tea on arrival, morning & afternoon of each day.

 

Course Certificate:

 

International Center for Training & Development (ICTD) will award an internationally recognized certificate(s) for each delegate on completion of training.

 

Course Timings:

 

Daily Course Timings:

    08:00 - 08:20       Morning Coffee / Tea

    08:20 - 10:00       First Session

    10:00 - 10:20       Coffee / Tea / Snacks

    10:20 - 12:20       Second Session

    12:20 - 13:30       Lunch Break & Prayer Break

    13:30 - 15:00       Last Session

 

بحسب مواضيع الدورات
2024
English Training Plan
2024
Arabic Training Plan
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Global Innovation Institute

ICXI Assessment

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