Data Analysis and Business Intelligence

Designing a training course titled: Data Analysis and Business Intelligence

Course duration: 5 days (4-6 hours of training daily)

Course objectives

1. Introducing participants to the concepts of data analysis and business intelligence:

   • Understanding the fundamentals of data analysis and its role in decision-making.

   • Familiarizing oneself with common business intelligence tools and techniques.

2. Teaching practical skills for data analysis:

   • Exploring, processing, and cleaning data.

   • Creating effective reports and dashboards.

3. Enhancing the practical understanding of business intelligence techniques:

   • Application of exploratory and predictive analysis to support strategic decisions.

   • Building models for data analysis using business intelligence tools like Power BI or Tableau.

4. Preparing trainees to integrate business intelligence into their organizations:

   • Understanding how to use the results to improve operations and identify business opportunities.

The target audience of the course

• Beginners in the field of data analysis.

• Business analysts and strategic work teams.

• Those interested in developing their skills in business intelligence.

• Managers and decision-makers who wish to enhance their understanding of data to support decision-making.

The learning method used in the course

1. Interactive lectures:

   • Presenting the theoretical fundamentals using real-life examples.

   • Open discussion sessions with trainees to clarify concepts.

2. Practical training:

   • Using real datasets to analyze them during the sessions.

   • Direct application on programs like Excel, Power BI, and Tableau.

3. Real case studies:

   • Presentation and discussion of practical cases from different sectors (finance, marketing, operations).

4. Group activities and small projects:

   • Dividing participants into groups to execute projects based on data analysis and creating business intelligence dashboards.

5. Daily evaluation and review sessions:

   • Reviewing the information acquired daily to ensure understanding and application.

The daily content plan

Day One: Fundamentals of Data Analysis

• Introduction to the basic concepts of data analysis.

• Types of data and their sources.

• Introduction to data analysis tools.

Day Two: Data exploration and cleaning

• Methods for data cleaning and preparation.

• Practical application using Excel or Python.

Day Three: Data Visualization

• Creating charts and reports.

• Basics of building dashboards.

Day Four: Business Intelligence Tools

• Introduction to Power BI and Tableau.

• Design and analysis of interactive reports.

Day Five: Business Intelligence Applications and Decision-Making

• Predictive data analysis.

• Comprehensive practical project: Real data analysis and dashboard design.

• Reviewing the trainees' projects and providing feedback.

Expected learning outcomes

• Gaining a comprehensive understanding of data analysis and business intelligence.

• The ability to use data analysis tools and create interactive dashboards.

• Improving participants' ability to analyze problems and make decisions based on data.