Learn how to use your company's data
to generate interactive reports and dashboards!
Eligible CPF and multi-financing up to 100%
To be recalled Access to the programmeApproach 3P
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We put all the keys in hand for a start with confidence.
Experience an immersive and intensive training experience, designed to dive into practical workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your career, we evaluate your acquired skills, issue certification attesting to your expertise, and accompany you to ensure your success in your professional projects.
You are now ready to excel!
Description of the training
This training provides the skills necessary to collect, analyze and interpret a company's data in order to extract strategic insights to generate reports and dashboards to make data-based decisions.
Objectives of training
At the end of this training, 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 with ETL tools.
Make decisions based on real-time analysis.
Who is this training for?
This training is intended to:
Data Analysts:Improving their BI skills.
BI Consultants:Deepen their expertise.
Managers:Supervise data-based projects.
IT Professionals:Integrate BI solutions for their company.
Prerequisites
Basic knowledge of information systems.
Programme
The training programme is structured around several main modules:
Introduction to Business Intelligence and Data Management
- Introduction to Business Intelligence: Definition, Objectives, and Applications.
- Presentation of popular BI tools: Power BI, Tableau, Qlik, etc.
- Overview of data collection, transformation, and visualization processes.
- Architecture of BI systems and their integration into the enterprise
- Introduction to SQL: Syntax, basic queries (SELECT, JOIN, GROUP BY, etc.). Transformation des données avec SQL : Nettoyage et préparation des données.
- Practical workshops: Creating SQL queries for the extraction of relevant data.
- Power BI and Tableau: Interface, report creation, and use of visualizations.
- Connect to data sources and create interactive dashboards.
- Best practices for the design of clear and striking visualizations.
- Practical cases: Creation of a first interactive dashboard.
- Introduction to Apache Spark and its real-time processing
- Use of filters and segments in Power BI and Tableau.
- Advanced visualization techniques: Advanced graphics, geographical maps, etc.
- Customization of reports and dashboards.
- Practical cases: Creating an interactive relationship with Power BI and Tableau.
- Introduction to ETL tools (Extract, Transform, Load): Talend, Apache Nifi, etc.
- Data preparation: Cleaning, standardization, and data transformation.
- Practical cases: Using an ETL tool to integrate and transform data.
- Real-time data integration and data flow management.
- Introduction to data warehouses and relational databases.
- Strategies to ensure data quality in an BI system.
- Practical cases: Creation of a data pipeline to power an BI dashboard.
- Introduction to predictive analysis and statistical analysis under the IB.
- Using advanced functions in Power BI, Tableau and Excel for in-depth analysis.
- Identification of trends and anomalies in the data.
- Practical cases: Application of simple predictive analysis to a data set.
- Integration of BI analyses into decision-making processes.
- Creation of performance reports for the monitoring of KPIs.
- Best practices for using data in strategic decisions.
- Practical cases: Situation to make decisions based on the results of an BI dashboard.
Training assets
Pedagogical approach alternating theory and practice.
Qualified trainers with experience in Big Data.
Access to modern teaching tools and resources.
Training accessible to all, without advanced technical prerequisites.
Pedagogical methods and tools used
Here are some tools you will learn to master:
- Power BI, Tableau, SQL.
- Excel and Qlik Sense.
- Cloud Platforms: AWS, Azure.
- ETL tools for data transformation.
Evaluation
- MCQ at the end of training.
- Practical case studies.
- Continuous evaluation with personalized feedback.
Normative References
ISO/IEC 27001:Information security management.
GDPR:European Data Protection Regulation.
ISO 22301:Continuity of activities.
SOC 2:Security, availability and confidentiality.