Our Business Intelligence Bootcamp is an immersive, hands-on training program designed for motivated individuals from all walks of life who want to break into the dynamic world of BI. Over the course of the bootcamp, you’ll develop the core technical skills and strategic mindset companies demand—mastering Excel and SQL for data preparation, Power BI and Tableau for interactive reporting, plus advanced data visualization principles to tell compelling stories with your data. You’ll also hone your presentation skills to deliver insights with confidence, and dive into KNIME methodologies for market and product analysis that drive real-world decision making.
Upon completion, you’ll be job-ready for positions such as Business Intelligence Analyst, BI Developer, Reporting Analyst, Data Visualization Specialist, Analytics Consultant, and more—armed not only with powerful tools but with the ability to translate complex data into actionable business recommendations.
Shape Business with the power of Data
Designed and delivered by seasoned BI and data industry specialists.
Project-based curriculum with real-world challenges
Mid-Term & Capstone Projects - Collaborate, communicate and present results just like you would in a professional BI team.
Holistic Skill Development - Build both essential technical skills (Excel, SQL, Power BI, Tableau, KNIME) and key soft skills (storytelling, communication).
Data Visualization & Presentation Mastery
Personalized Career Coaching and Job assistance and Hiring Network
25% theory - 75% practice
During each day we spend max 25% of the time for theory (lecture, live coding, code reviews) in order to get you as fast as possible to the exercises, where the real learning and fun begins!
Real-world knowledge
Our instructors are professionals in the industry. With their real-world experience, they will help you learn practical and soft skills and build a strong foundation to begin your data science career.
Each module introduces new concepts, leading to the final project where you apply everything you've learned. This hands-on experience solidifies your new in-demand skills and demonstrates your ability to put them to use. Understand the business thinking behind any concept
Tools that will be used:
Tools that will be used:
Tools that will be used:
Tools that will be used:
Business Intelligence Final Project
Work within a team on your final project, applying everything you have learned in practice on a real-world use case. The program finishes with the presentations of the final projects, where you receive your certification.
14 weeks
160 hours
Companies Trusting Us
Projects
Successful Graduates
Teaching Hours
After completing your training, you’ll be confident to apply for various data roles, depending on your prior experience and field.
Workshops on creating a standout CV and LinkedIn profile, mock technical interviews, and support throughout the hiring process.
We link you with industry professionals and companies, expanding your network and supporting your career goals.
Tuition fees are payable in up to 3 installments. For more details about payment have a look at our FAQ.
Special discounts for companies (2+ participants), contact us.
Fill in and submit your application. Tell us about yourself and your motivation to enroll.
We reach out to schedule an interview with a member of our team. We'll discuss your technical background and career goals, and provide details about the course.
You're ready to embark on your Data Science journey. You'll receive the Prep-Work exercises to work on before your first day of the Bootcamp.
What is Business Intelligence and why is it important?
Business Intelligence (BI) is the process of collecting, integrating, analyzing, and visualizing data to uncover actionable insights that drive strategic decision-making. It’s important because it transforms raw data into clear reports and dashboards, helping organizations spot trends, optimize operations, and stay competitive.
Where can a Business Intelligence Analyst work?
BI Analysts are in demand across virtually every industry—finance, healthcare, retail, manufacturing, tech, government, and non-profits. They may join in-house analytics teams, consulting firms, or work as independent contractors, helping stakeholders turn data into business value.
What are the main tools used by a Business Intelligence Analyst?
Common BI tools include data visualization platforms like Tableau and Power BI, query languages such as SQL, ETL (extract-transform-load) tools like Alteryx or Informatica, and analytics environments like Excel, Python, or R. Many analysts also work with cloud data warehouses (e.g., Snowflake, Redshift) and reporting frameworks.
What is the difference between Business Intelligence and Data Science?
Business Intelligence focuses on descriptive and diagnostic analytics—summarizing historical data to explain what happened and why. Data Science goes further into predictive and prescriptive analytics—building statistical models and machine-learning algorithms to forecast future trends and recommend optimal actions.
What skills are required to become a Business Intelligence Analyst?
Key skills include strong proficiency in SQL for querying databases, hands-on experience with BI platforms (e.g., Power BI, Tableau), and a solid grasp of data modeling and warehousing concepts. Equally important are clear communication abilities to present insights, plus familiarity with data-cleaning techniques.
Lauch your career as a Business Analyst
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