TRAINING COURSE ON DATA ANALYTICS FOR MANAGERIAL DECISION MAKING

Course Date Location Course fee: Registrations
Start Date: 16/12/2019 End Date: 20/12/2019 Nairobi $ 1,000 Register to attend
Start Date: 13/01/2020 End Date: 17/01/2020 Nairobi $ 1,000 Register to attend
Start Date: 03/02/2020 End Date: 07/02/2020 Nairobi $ 1,000 Register to attend
Start Date: 02/03/2020 End Date: 06/03/2020 Nairobi $ 1,000 Register to attend
Start Date: 06/04/2020 End Date: 10/04/2020 Nairobi $ 1,000 Register to attend
Start Date: 04/05/2020 End Date: 08/05/2020 Nairobi $ 1,000 Register to attend
Start Date: 01/06/2020 End Date: 05/06/2020 Nairobi $ 1,000 Register to attend

INTRODUCTION

This interactive Data Analytics for Managerial Decision Making training 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. This training 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 the course, participants should 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

DURATION

5 Days

WHO SHOULD ATTEND

This training course is suitable to a wide range of professionals but will greatly benefit:

  • 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 CONTENT

Day One: 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

Day Two: 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           

Day Three: 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

 Day Four: 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

Day Five: 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

GENERAL NOTES

·         This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

·         Training manuals and additional reference materials are provided to the participants.

·         Upon successful completion of this course, participants will be issued with a certificate.

·         We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: training@data-afriqueconsultancy.org

·         The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, NAIROBI KENYA.

·         The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.

·         Payment should be sent to our bank account before start of training and proof of payment sent to: training@data-afriqueconsultancy.org