Close
Close

QUICK SEARCH
Search your Courses by Keywords


An intensive professional development training course on

Effective Decision Making Skills

Professional Recognition and Accreditation

  • This is an ILM (Institute of Leadership and Management) Endorsed Programme*

 

Why Choose this Course?

This interactive, applications-driven 5-day 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.

This course will feature:

  • Discussions on applications of data analytics in management
  • The importance of data in data analytics
  • Applying data analytical methods through worked examples
  • Focusing on management interpretation of statistical evidence
  • How to integrate statistical thinking into the work domain

 

What are the Goals?

By the end of this course, participants 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 is this Course for?

This 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   

 

How will this be Presented?

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context. 

 

The 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

 

The Certificates

  • AZTech Certificate of Completion for delegates who attend and complete the course.
  • ILM Endorsed Certificate for delegates who successfully attend and pass the required assessment.

Accreditation

ILM Endorsed Programme

AZTech is an ILM (Institute of Leadership & Management) Recognised Provider and offers a number of Endorsed Management and Leadership programmes. Aside from AZTech’s Certificate of Completion, delegates will be able to pursue ILM Endorsed Certification (which typically involves passing an additional study, either a work based assignment or on-demand assessment) after the conclusion of this ILM endorsed programme.

DO YOU WANT TO
LEARN MORE ABOUT THIS COURSE?

Request for In-House Solutions
Request for
In-House Solutions
Request for More Details
Request for
More Details
Share this Course With a Colleague
Share this Course
With a Colleague
Request Brochure
Download the
Course Brochure

Send to Colleague

© 2023. Material published by Aztech shown here is copyrighted.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.


Sending your message. Please wait...

Send Successfully

There was a problem sending your message. Please try again.

Please complete all the fields in the form before sending.

USE THE COURSE FINDER TO
BROWSE OVER 400 COURSES

Online Training

DISCOVER OUR
ONLINE TRAINING
COURSES

LinkedIn
Facebook
Twitter
WhatsApp
Email
Other