Business Intelligence: Collect,
Analyze and Leverage Data
for Strategic Decisions
Learn to leverage your company's data
to build interactive reports and dashboards!
CPF-eligible and multiple funding options up to 100%
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Our training center guides you in identifying the ideal course and helps you maximize funding opportunities.
We provide everything you need to start with confidence.
Experience an immersive, intensive program designed to immerse you in hands-on workshops and real case studies.
Learn by doing, and develop practical skills directly applicable to your future projects.
At the end of your journey, we assess your acquired skills, issue a certification attesting to your expertise, and support you to ensure success in your professional projects.
You are now ready to excel!
Course description
This course provides the skills needed to collect, analyze, and interpret company data to extract strategic insights, and to build reports and dashboards that enable data-driven decision-making.
Course objectives
By the end of this course, participants will be able to:
Master BI tools: Power BI, Tableau, SQL.
Analyze complex data and generate insights.
Create interactive dashboards for decision-making.
Optimize data management using ETL tools.
Make decisions based on real-time analytics.
Who is this course for?
This course is intended for:
Data analysts: Improve their BI skills.
BI consultants: Deepen their expertise.
Managers: Oversee data-driven projects.
IT professionals: Integrate BI solutions for their organization.
Prerequisites
Basic knowledge of information systems.
Program
The course program is structured around several core modules:
Introduction to Business Intelligence and Data Management
- Introduction to Business Intelligence: Definition, objectives, and applications.
- Overview of popular BI tools: Power BI, Tableau, Qlik, etc.
- Overview of data collection, transformation, and visualization processes.
- BI system architecture and its integration within the enterprise
- Introduction to SQL: Syntax, basic queries (SELECT, JOIN, GROUP BY, etc.). Data transformation with SQL: Cleaning and preparing data.
- Hands-on labs: Creating SQL queries to extract relevant data.
- Getting started with Power BI and Tableau: Interface, report building, and using visualizations.
- Connecting to data sources and building interactive dashboards.
- Best practices for designing clear, impactful visualizations.
- Practical exercise: Create a first interactive dashboard.
- Introduction to Apache Spark and its real-time processing
- Using filters and slicers in Power BI and Tableau.
- Advanced visualization techniques: advanced charts, maps, etc.
- Report and dashboard customization.
- Practical exercise: Create an interactive report with Power BI and Tableau.
- Introduction to ETL (Extract, Transform, Load) tools: Talend, Apache Nifi, etc.
- Data preparation: Cleaning, normalization, and data transformation.
- Practical exercise: Using an ETL tool to integrate and transform data.
- Real-time data integration and stream management.
- Introduction to data warehouses and relational databases.
- Strategies to ensure data quality in a BI system.
- Practical exercise: Build a data pipeline to feed a BI dashboard.
- Introduction to predictive and statistical analysis in BI.
- Using advanced functions in Power BI, Tableau, and Excel for deeper analysis.
- Identifying trends and anomalies in data.
- Practical exercise: Apply simple predictive analysis to a dataset.
- Integrating BI analyses into decision-making processes.
- Creating performance reports to track KPIs.
- Best practices for using data in strategic decisions.
- Practical exercise: Scenario to make decisions based on the results of a BI dashboard.
Course benefits
Pedagogical approach alternating theory and practice.
Qualified instructors with experience in Big Data.
Access to modern tools and learning resources.
Training accessible to all, with no advanced technical prerequisites.
Teaching methods and tools used
Here are some tools you will learn to use:
- Power BI, Tableau, SQL.
- Excel and Qlik Sense.
- Cloud platforms: AWS, Azure.
- ETL tools for data transformation.
Assessment
- End-of-course multiple-choice quiz.
- Practical case studies.
- Continuous assessment with personalized feedback.
Standards and references
ISO/IEC 27001: Information security management.
GDPR: European data protection regulation.
ISO 22301: Business continuity.
SOC 2: Security, availability, and confidentiality.
Delivery options
In-house training
Duration and curriculum can be customized according to your company's specific needs
More details Contact usNext Generation Academy