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Training Course on Data Analytics for Managerial Decision Making

By: Data-Afrique Consultants

Kenya

12 - 16 Aug, 2024  5 days

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USD 2,950

Venue: Nairobi

Other Dates

Venue Date Fee  
Nairobi, Kenya 09 - 13 Sep, 2024 USD1500
Kigali, Rwanda 14 - 18 Oct, 2024 USD2950
Mombasa, Kenya 11 - 15 Nov, 2024 USD1500
Nairobi, Kenya 09 - 13 Dec, 2024 USD1500

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.
Nairobi Aug 12 - 16 Aug, 2024
Nairobi, Kenya 09 - 13 Sep, 2024
Kigali, Rwanda 14 - 18 Oct, 2024
Mombasa, Kenya 11 - 15 Nov, 2024
Nairobi, Kenya 09 - 13 Dec, 2024

Class Session: 08:00:am - 16:00:pm

USD 2,950.00(Kigali)
USD 4,500.00(Dubai)
USD 1,500.00(Nairobi)
USD 1,500.00(Mombasa)
(Convert Currency)

DUNCAN KARIUKI +254723360025

DATA-AFRIQUE CONSULTANCY

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