An Interactive 5-Day Training Course
Effective Business Decisions using Data Analysis
Course Overview
This Effective Business Decisions using Data Analysis 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. The 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.
This GLOMACS Effective Business Decisions using Data Analysis training 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
Training Objectives
By the end of this Effective Business Decisions using Data Analysis training 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 should Attend?
This GLOMACS Effective Business Decisions using Data Analysis 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
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
Training Outline
DAY 1: 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 2: 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 3: 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 4: 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 5: 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
Certificates
- On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
- Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation
GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.
All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.
Providers and Associations
Sessions in international locations
What do you need to learn next?
Check our list of courses or let us customize a course for you.
View courses
