Business Intelligence (BI) Foundation Course

Objective:

This course aims to provide participants with the fundamental knowledge and skills required to enter the field of Business Intelligence (BI) and understand its crucial role in supporting business decisions. The course is designed for beginners with little or no prior BI experience.

Program:

Module 1: Introduction to Business Intelligence

• Key BI Concepts: Defining BI, its benefits, and its impact on organizations .
• BI Lifecycle: Understanding the phases of the BI process, from data collection to analysis and communication of results.
• Roles and Responsibilities in BI: Identifying the different roles involved in a BI project and their responsibilities.
• 30 Practical Exercises for Module 1: Introduction to Business Intelligence

Module 2: Database Fundamentals

• Basic Relational Database Concepts: Database structure, tables, relationships, and keys.
• Data Querying with SQL: Learning to write SQL queries to extract, filter, and aggregate data from a database .
• Data Modeling: Understanding data modeling principles to create conceptual and logical models.

Module 3: Data Warehousing

• Introduction to Data Warehousing: Knowing the key concepts of data warehousing and its role in BI.
• Data Warehouse Architecture: Exploring the different data warehouse architectures and key components.
• ETL (Extract, Transform, Load) Processes: Understanding the steps to extract, transform, and load data from various sources into the data warehouse.

Module 4: BI Tools and Technologies

• Overview of BI Tools: Exploring the major BI tools and technologies (Tableau, Power BI, QlikView) and their functionalities.
• Data Visualization: Learning to create effective data visualizations to communicate information clearly and concisely.
• Report Creation: Generating BI reports using reporting tools to present analysis and key metrics.

Module 5: Data Analysis

• Data Analysis Techniques: Applying basic statistical analysis techniques to describe and analyze data.
• Data Mining and Machine Learning for BI: Introducing the concepts of data mining and machine learning and their potential in BI.
• Predictive Modeling: Learning to build simple predictive models to forecast future trends or events.

Module 6: BI Project Management

• BI Project Management Methodologies: Knowing project management methodologies (Agile, Waterfall) and their adaptation to BI projects.
• BI Project Planning and Monitoring: Learning to plan, monitor, and manage the activities of a BI project.
• Problem-solving and Risk Management: Developing strategies to address common problems and manage risks in BI projects.

Module 7: Data Governance

• Data Governance Principles: Understanding the importance of data governance to ensure data quality, security, and integrity.
• Data Security and Compliance: Implementing security measures to protect sensitive data and comply with relevant regulations.
• Data Management Best Practices: Adopting best practices for effective management of enterprise data.

Teaching Methodology:

The course combines frontal lessons, practical exercises, labs, and case studies.

• Frontal lessons will present the theoretical concepts and fundamental BI methodologies.
• Practical exercises will allow participants to apply the acquired knowledge to realistic scenarios.
• Labs will enable participants to experiment with BI tools and technologies.
• Case studies will delve into the application of BI in specific business contexts.

Assessment:

Participant evaluation will be conducted through a combination of quizzes, practical exercises, individual projects, and active participation in the course.

Duration:

The course will have a duration of 40 hours.

Prerequisites:

No specific prerequisites are required.

Costs:

The cost is free for all connected users.

which includes a consultation or an individual or small group lesson, 3 questions per module.

The cost does not include the handout or the CDs of any streaming lessons.

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The Business Intelligence (BI) Foundation Course program. It can be adapted to the specific needs of the participants and the organization. Please let me know if you have any other questions.