Business Data: How to Manage Data and Make Smart Decisions
Business Data: How to Manage Data and Make Smart Decisions

5 Days

SAR 7800

Course Dates

Start Date: 22 June، 2025
End Date: 26 June، 2025
Language: Arabic
Location: Riyadh
Start Date: 16 November، 2025
End Date: 20 November، 2025
Language: English
Location: Dammam
*Prices do not include value added tax
Course Objectives
Course Outline
Target Competencies
Course Methodology
Target audience

At the end of this course, the participants should be able to:

  • Understand what Data is, its sources and types.
  • Classify and group data
  • Analyze Data
  • Utilize result of analyzed data in Decision Making

Introduction

  • What is Data?
  • Sources of Data
  • The process of making sense of data

Data Described

  • Observations and variables
  • Types of variables
  • Central Tendency
  • Data Distribution
  • Confidence Intervals
  • Hypothesis Tests

Working with Data Tables

  • Cleaning data
  • Removing observations & variables
  • Generating consistent scales
  • Frequency distribution
  • Converting data and categorizing
  • Generating groups

Understanding Relationships

  • Visualizing relationships between variables
  • Univariate Data Visualization
  • Multivariate Data Visualization
  • Visualization Groups

Building Models From Data

  • Clustering
  • Association Rules
  • Predictive modeling
  • Multiple Linear Regression
  • Standard error
  • Coefficient of multiple determination
  • Logistic Regression
  • Estimating Coefficients
  • Assessing and Optimizing results
  • Classification and Regression tests

Applications

  • Applying data analysis at work

  • Analytical Skills
  • Statistical Analysis
  • Decision Making
  • Predictive modeling

This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:

  • Practical, relevant case studies
  • Group activities and workshops
  • Related role plays
  • Experiential learning
  • Brainstorming
  • Stimulating mental activities
  • Engaging team competitions
  • Suitable training Videos
  • Presentations
  • Self–assessments
  • Learning with Simulations and Games

Supervisors, managers, and employees who are expected to handle and analyze data to assist in making better decision making.

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