Business Intelligence Analyst | Guided E-Learning

Certified Business Intelligence Analyst

Enroll in our bootcamp to become a Certified Business Intelligence Analyst. Study online at your own pace with mentor support, and develop expertise in Business Intelligence, database language SQL, database management system MySQL and creation of interactive dashboards using Power BI and Tableau. Take the first step toward a well-paid and fulfilling career.

Agentur der Arbeit 100% free with a Bildungsgutschein from the Arbeitsagentur
Community
Join a community of more than 10K successful graduates
Certified Business Intelligence Analyst

Start

Weekly, every monday

Format

Guided E-Learning with mentor

Duration

Full-time: 3,5 months
Part-time: 7 months
On-the-job: 12 months

Scope

Full-time: 30-40 h / week
Part-time: 10-20 h / week
On-the-job: 2-4 h / week

Level of learning

Beginner & Intermediate

Languages

English
German

Certificate

State-recognised AZAV certificate

Start now. Make your move. Step into your dream career!

Build your future with a new career in business intelligence analysis. 100% free!

Learn at your own pace with this business intelligence analysis bootcamp fully online and flexible, whenever and wherever it suits you. Design your learning journey and advance at a rhythm that matches your lifestyle.

Acquire in-demand, practical skills in SQL, Power BI, Tableau, data modeling, and visualization. Learn 1-on-1 with an experienced mentor, accompanied by your personal study advisor and our career coaches. Make yourself job-ready and secure a future-proof job.

Tools, techniques & methods
MySQL MySQL SQL SQL MS Office MS Office Teams Teams Excel Excel Google Docs Google Docs Google Sheets Google Sheets Tableau Tableau Data Analysis Data Analysis Business Intelligence (BI) Business Intelligence (BI) Visualization Visualization Dashboarding Dashboarding Reporting Reporting Storytelling Storytelling
Content, skills & learning outcomes

  • Business Intelligence (BI)
  • SQL database language and MySQL database management system
  • Advanced SQL for business intelligence and data analysis
  • Basics of Microsoft Power BI for Business Intelligence
  • Power BI-for advanced users
  • Best practice examples and use cases with Power BI
  • Dashboarding and reporting with Tableau
  • Capstone project

Learn anytime, anywhere

Tailor your professional development to your preferences, schedule and lifestyle. Learn anytime, anywhere and at your own pace.

Personal mentoring via video conference

Book an appointment at any time with your mentor, who will accompany you on your learning and career path and provide you with personal support.

Job-ready practice in real-world projects

Our courses are based on practical, industry-specific scenarios and teach practical skills that can be directly applied in your professional life.

University-level multimedia content

You will benefit from interactive content at university level. You can expect comprehensive articles, videos, quizzes and practical exercises that bring the theory to life.

Interactive live sessions with industry experts

Take part in interactive live workshops with industry experts to dynamically review and deepen your understanding of the learning content covered.

Career services for your new job

With application training, career consultations and our active job placement service, we help you on your way to your new job.

These companies are training their workforce with us and recruiting our students.

Invest in yourself and your career

Secure the best prospects for a job as Business Intelligence Analyst

Secure a job in one of the fastest-growing professions in the technology industry. Acquire in-depth knowledge in SQL, Power BI, Tableau, data modeling, and visualization. Develop exactly the skills you need for a career as a Business Intelligence Analyst. Secure an attractive, well-paid job with a future in the IT industry.

€ 59.000

150-200

+7%

Top 10

Average annual salary (entry-level salary)
Average monthly job offers
Estimated employment growth by 2030
Fastest-growing jobs

€ 59.000

Average annual salary (entry-level salary)

150-200

Average monthly job offers

+7%

Estimated employment growth by 2030

Top 10

Fastest-growing jobs
Target group

Who are our bootcamps for?

This business intelligence analysis training course is ideal for beginners and advanced learners who want to expand their business intelligence analysis expertise. No prior knowledge of business intelligence analysis is necessary. We start with the basics and then gradually move on to more advanced topics. 

Have your business intelligence analysis professional development course financed through a Bildungsgutschein issued by the Arbeitsagentur and Jobcenter. If you are registered as a job seeker, you may be eligible to apply for a Bildungsgutschein for this business intelligence analysis course. To support you in the application process, we have prepared a detailed application guide. To apply for the Bildungsgutschein, you need a formal course offer.

Are you an employee of a company and want to build business intelligence analysis skills while working? Are you at risk of unemployment or is your company affected by structural change? Then your employer can take advantage of the Qualifizierungschancengesetz and have up to 100% of the training costs financed and up to 75% of the salary costs reimbursed.

There are many good reasons to become a Business Intelligence Analyst with XDi. Get started now and register or let us advise you. We are happy to help.

Unemployed & job seekers

You are unemployed or seeking work, eligible for a Bildungsgutschein, and want to use this time to qualify for a new job as a Business Intelligence Analyst.

Career changers and professionals switching fields

You are a professional from another industry and want to become a Business Intelligence Analyst to advance your career, grow, and seize new opportunities.

New employees & career starters

You have just started a job in a new work environment and lack the relevant skills to meet the job’s demands and work productively.

Employees at risk of unemployment

You are an employee at a company affected by structural change, your job is at risk, and you need training to secure your position.

Aspiring Business Intelligence Analysts

You are a Business Intelligence Analyst and want to expand your knowledge in business intelligence analysis and advance your career.

Graduates and students

You have recently graduated or are still studying and want to enhance your academic qualifications with practical, industry-relevant skills.

Professionals and specialists

You are a specialist in your field, looking to expand your expertise, earn a certification, or optimally prepare for a certification exam.

Managers and executives

You want to advance your career, your department, or your company by successfully establishing business intelligence analysis within the organization.

Entrepreneurs and business owners

You are an entrepreneur or the owner of an SME and want to make your business more competitive and future-proof by leveraging business intelligence analysis knowledge.

Interested individuals

You are interested in business intelligence analysis and want to learn the practical, real-world application of business intelligence analysis tools for personal or professional purposes.

CURRICULUM

What you will learn in this business intelligence analysis bootcamp

Hands-on education in the skills of the future

In this business intelligence analysis course, you will acquire the most important business intelligence analysis skills based on a curriculum designed by industry experts. The business intelligence analysis training includes industry-validated, interactive content at a university level and extensive hands-on experience in real projects. You will build a portfolio and complete the program with a capstone project.

1

Introduction to the world of Business Intelligence (BI)

2

Databases and Database Management Systems: MySQL and SQL

3

Advanced SQL for Business Intelligence and Data Analysis

4

Microsoft Power BI for Business Intelligence - The Fundamentals

5

Power BI for Advanced Users

6

Power BI – Best Practice Examples and Use Cases

7

Dashboarding and Reporting with Tableau

8

Capstone Project - Business Intelligence Project from A-Z

Summary

In this module, you will delve into the world of business intelligence. You will learn how data is collected, processed and analysed – from classic ETL processes to data warehouses and modern self-service tools. You will get a feel for typical BI architectures, data sources and reporting methods and understand how companies make data-driven decisions. Current trends such as artificial intelligence, machine learning, and automated analyses are also on the agenda – and will show you where business intelligence is heading in the future. Numerous examples and tasks will help you to apply the concepts directly.

Learning Outcomes

You will learn to:

  • explain key BI tools, technologies and data structures and classify their role in modern organizations
  • understand the architecture of typical BI systems – including data sources, ETL processes, data warehouses and analysis tools
  • identify best practices for data visualization and reporting and apply them in a targeted manner
  • understand and critically reflect on current BI trends such as artificial intelligence, machine learning and natural language processing
  • recognize typical challenges in the introduction of BI solutions and formulate suitable solutions
Content
  • Business intelligence: introduction, key concepts, and principles
  • Business intelligence tools, technologies, and data structures
  • Business intelligence architecture, data visualization and reporting techniques
  • Business intelligence – trends and challenges
Core Skills
BI architecture Data analysis Data structures Data sources Data warehouses ETL Artificial intelligence (AI) Machine Learning Natural Language Processing (NLP)
Summary

In this module, you will be introduced to the basics of relational databases and familiarize yourself with the SQL query language. You will create your own databases and tables in MySQL Workbench, fill them with data and develop structured queries. Step by step, you will work with important SQL commands – from filtering and sorting to aggregations, groupings, JOINs and foreign keys. Practical tasks will give you a solid foundation for the professional use of databases.

Learning Outcomes

You will learn to:

  • understand relational databases and the concept of tables, keys and relationships
  • create and configure your own database with MySQL Workbench
  • insert, edit and specifically query data with SQL
  • use conditions with the WHERE clause and JOINs to link several tables
  • perform simple analyses with aggregate functions, grouping and sorting
Content
  • Introduction: the relational database model and SQL
  • Installation and first steps with MySQL Workbench
  • First steps: creating a database and tables
  • Inserting, editing and querying values
  • Additional options for using the WHERE clause
  • Using foreign keys in the database
  • Joining queries for multiple tables
  • The JOIN command: using data from multiple tables
  • Counting entries, summing values and other arithmetic operations
  • Grouping and sorting data
Core Skills
Relational databases SQL Data retrieval Data manipulation JOIN operations Aggregations Database tools
Summary

In this module, you will expand your knowledge of SQL and learn how to design complex data queries for business intelligence purposes. You will work with conditions, wildcards and CASE statements, use date and time functions and understand how tables are linked together in a meaningful way. You will learn how to use transactions, user rights and views – and how virtual tables help you to design queries more efficiently. A particular highlight are window functions such as RANK, LAG or LEAD, which you can use to analyze trends and time sequences in a targeted manner. You will also practise how to securely integrate external data – for example, from CSV files – into your database.

Learning Outcomes

You will learn to:

  • use the HAVING clause specifically to filter grouped data and gain deeper insights into key figures
  • use wildcards, REGEXP and RLIKE to perform flexible queries and recognize patterns in text data
  • use CASE statements to integrate conditional logic into SQL queries and classify data specifically
  • create foreign key relationships and build normalized data models to ensure data integrity
  • format and customize SQL queries so that results can be presented in a clearly structured and business-relevant way
Content
  • Introduction: more Advanced SQL commands for BI
  • Defining conditions with the HAVING clause
  • Working with Wildcards
  • CASE: linking actions to conditions
  • Relationships between tables with Foreign Keys
  • Advanced options for data output
  • Working with date and time values
  • Managing database access rights
  • Transactions for more secure data processing
  • Key advanced SQL queries for BI
  • Importing CSV files
Core Skills
Advanced SQL Aggregations and filter logic Pattern queries CASE logic Relational data models Table relationships Query design for business intelligence
Summary

In this module, you will be introduced to Microsoft Power BI from the ground up – from the user interface to data modelling and visualization. You will learn how to import, transform and model data and gain an understanding of the architecture behind Power BI. The focus is on creating meaningful visualizations and interactive dashboards that support data-based decisions. You will develop reports that are not only convincing but can also be shared within the team or the company in a targeted manner.

Learning Outcomes

You will learn to:

  • understand the data model and architecture of Power BI and classify it in the BI context
  • import, transform and link data from different sources in Power BI
  • create interactive visualizations and dashboards that facilitate data-based decisions
  • design initial reports with Power BI Desktop and transform raw data into meaningful analyses
Content
  • Introduction to Microsoft Power BI
  • Getting started with Microsoft Power BI: the data model and architecture
  • The Power BI desktop client
  • From beginner to pro: creating your first Power BI report
  • Importing data into Power BI
  • Processing the imported data
  • Creating relationships between data sets
  • Data visualizations with Power BI
  • Dashboards in Power BI
Core Skills
Power BI fundamentals Power BI architecture Data modeling Data import Data cleansing Visualizations Dashboards Reporting
Summary

In this module, you will take your Power BI skills to the next level. You will work with user-defined visualizations, become familiar with complex DAX functions, and utilize advanced features such as bookmarks, forecasts, and clustering. You will also dive into the M-language of Power Query to transform data in a targeted manner and prepare it for your analyses. In this way, you will use Power BI in all its depth – for interactive reports that map even complex issues and optimally support data-based decisions.

Learning Outcomes

You will learn to:

  • use customized visualizations and interactive reporting elements in a targeted manner
  • use complex DAX functions to calculate and analyse KPIs
  • use advanced Power BI features such as bookmarks, forecasts and clustering
  • transform data efficiently with the M language in Power Query
  • use Power BI to create advanced, decision-relevant dashboards
Content
  • Introduction – in-depth insights into Power BI
  • Custom visualizations
  • Advanced reporting concepts
  • An introduction to DAX
  • An in-depth look at DAX
  • An introduction to M
Core Skills
Custom visualizations Interactive reports DAX Data modeling Power query M Language ETL processes KPI analysis
Summary

In this module, you will learn how to professionally model, analyse and visualize data in Power BI – in a practical way and with a view to real business applications. You will develop stable data models, make targeted use of DAX functions and create interactive dashboards that impress. Topics such as storytelling, usability, KPIs and data-based decision-making play just as important a role as the analysis of patterns, trends and anomalies. The module ideally prepares you for the MS PL-300 certification exam.

Learning Outcomes

You will learn to:

  • design and implement a structured and performant data model in Power BI
  • apply advanced DAX calculations including time intelligence and filter logic
  • design interactive reports and dashboards with clear visualization and data-based storytelling
  • to use optimization techniques to increase model performance in a targeted manner
  • to recognize patterns, trends and anomalies in data and derive business-relevant insights from them
Content
  • Preparation for the Microsoft certification PL-300
  • Designing a data model
  • Developing a data model
  • Creating model calculations with DAX
  • Creating reports
  • Creating dashboards
  • Optimizing reports: usability and storytelling
  • Identifying patterns and trends
Core Skills
Data modeling DAX Dashboard design Reporting Performance optimization Data analysis Decision support
Summary

In this module, you will discover how to effectively visualize data and create interactive reports with Tableau. You will connect and prepare data, create clear dashboards and make targeted use of visualization techniques. Using realistic scenarios, you will learn how to use Tableau to gain data-based insights and support well-founded business decisions. A practical introduction to one of the leading business intelligence tools.

Learning Outcomes

You will learn to:

  • navigate safely through the Tableau Desktop user interface and connect data sources
  • select suitable chart types and use them specifically for different analysis purposes
  • use sorting, grouping and calculations to evaluate data sets in a structured way
  • incorporate geographical data into map visualizations and support visual storytelling
  • design interactive dashboards with multiple views and implement best practices for clear data presentation
Content
  • Introduction to Tableau: data visualization and business intelligence
  • Getting started with Tableau Desktop
  • Basics of chart visualizations
  • Sorting, grouping and calculations
  • Working with maps and customizing the view
  • Dashboards – combining views
Core Skills
Tableau Desktop Visualization Analytical functions Geodata analysis Dashboard design Business intelligence reporting
Summary

In the capstone project, you will apply the knowledge you have acquired in the course in practice and work on your own business intelligence question – from data analysis to visualization. You will create an interactive dashboard with Power BI and document your results professionally. At the end, you will present your solution to your mentor – the final step on your way to becoming a certified Business Intelligence Analyst.

Learning Outcomes

You will learn to:

  • analyze a BI question in a structured way and answer it based on data
  • identify and prepare suitable data sources and integrate them into Power BI
  • develop data models, key figures and visualizations in a targeted manner
  • design and publish interactive dashboards with Power BI
  • present analysis results in a comprehensible, target group-oriented and visually convincing way
Content

Hands-on project to implement a business intelligence solution with Power BI – from data preparation to presentation of results.

Core Skills
End-to-end business intelligence workflow Data modeling with Power BI DAX Interactive dashboards Data analysis and gaining insights Presentation and communication in the BI context

Introduction to the world of Business Intelligence (BI)

Summary

In this module, you will delve into the world of business intelligence. You will learn how data is collected, processed and analysed – from classic ETL processes to data warehouses and modern self-service tools. You will get a feel for typical BI architectures, data sources and reporting methods and understand how companies make data-driven decisions. Current trends such as artificial intelligence, machine learning, and automated analyses are also on the agenda – and will show you where business intelligence is heading in the future. Numerous examples and tasks will help you to apply the concepts directly.

Learning Outcomes

You will learn to:

  • explain key BI tools, technologies and data structures and classify their role in modern organizations
  • understand the architecture of typical BI systems – including data sources, ETL processes, data warehouses and analysis tools
  • identify best practices for data visualization and reporting and apply them in a targeted manner
  • understand and critically reflect on current BI trends such as artificial intelligence, machine learning and natural language processing
  • recognize typical challenges in the introduction of BI solutions and formulate suitable solutions
Content
  • Business intelligence: introduction, key concepts, and principles
  • Business intelligence tools, technologies, and data structures
  • Business intelligence architecture, data visualization and reporting techniques
  • Business intelligence – trends and challenges
Core Skills
BI architecture Data analysis Data structures Data sources Data warehouses ETL Artificial intelligence (AI) Machine Learning Natural Language Processing (NLP)

Databases and Database Management Systems: MySQL and SQL

Summary

In this module, you will be introduced to the basics of relational databases and familiarize yourself with the SQL query language. You will create your own databases and tables in MySQL Workbench, fill them with data and develop structured queries. Step by step, you will work with important SQL commands – from filtering and sorting to aggregations, groupings, JOINs and foreign keys. Practical tasks will give you a solid foundation for the professional use of databases.

Learning Outcomes

You will learn to:

  • understand relational databases and the concept of tables, keys and relationships
  • create and configure your own database with MySQL Workbench
  • insert, edit and specifically query data with SQL
  • use conditions with the WHERE clause and JOINs to link several tables
  • perform simple analyses with aggregate functions, grouping and sorting
Content
  • Introduction: the relational database model and SQL
  • Installation and first steps with MySQL Workbench
  • First steps: creating a database and tables
  • Inserting, editing and querying values
  • Additional options for using the WHERE clause
  • Using foreign keys in the database
  • Joining queries for multiple tables
  • The JOIN command: using data from multiple tables
  • Counting entries, summing values and other arithmetic operations
  • Grouping and sorting data
Core Skills
Relational databases SQL Data retrieval Data manipulation JOIN operations Aggregations Database tools

Advanced SQL for Business Intelligence and Data Analysis

Summary

In this module, you will expand your knowledge of SQL and learn how to design complex data queries for business intelligence purposes. You will work with conditions, wildcards and CASE statements, use date and time functions and understand how tables are linked together in a meaningful way. You will learn how to use transactions, user rights and views – and how virtual tables help you to design queries more efficiently. A particular highlight are window functions such as RANK, LAG or LEAD, which you can use to analyze trends and time sequences in a targeted manner. You will also practise how to securely integrate external data – for example, from CSV files – into your database.

Learning Outcomes

You will learn to:

  • use the HAVING clause specifically to filter grouped data and gain deeper insights into key figures
  • use wildcards, REGEXP and RLIKE to perform flexible queries and recognize patterns in text data
  • use CASE statements to integrate conditional logic into SQL queries and classify data specifically
  • create foreign key relationships and build normalized data models to ensure data integrity
  • format and customize SQL queries so that results can be presented in a clearly structured and business-relevant way
Content
  • Introduction: more Advanced SQL commands for BI
  • Defining conditions with the HAVING clause
  • Working with Wildcards
  • CASE: linking actions to conditions
  • Relationships between tables with Foreign Keys
  • Advanced options for data output
  • Working with date and time values
  • Managing database access rights
  • Transactions for more secure data processing
  • Key advanced SQL queries for BI
  • Importing CSV files
Core Skills
Advanced SQL Aggregations and filter logic Pattern queries CASE logic Relational data models Table relationships Query design for business intelligence

Microsoft Power BI for Business Intelligence - The Fundamentals

Summary

In this module, you will be introduced to Microsoft Power BI from the ground up – from the user interface to data modelling and visualization. You will learn how to import, transform and model data and gain an understanding of the architecture behind Power BI. The focus is on creating meaningful visualizations and interactive dashboards that support data-based decisions. You will develop reports that are not only convincing but can also be shared within the team or the company in a targeted manner.

Learning Outcomes

You will learn to:

  • understand the data model and architecture of Power BI and classify it in the BI context
  • import, transform and link data from different sources in Power BI
  • create interactive visualizations and dashboards that facilitate data-based decisions
  • design initial reports with Power BI Desktop and transform raw data into meaningful analyses
Content
  • Introduction to Microsoft Power BI
  • Getting started with Microsoft Power BI: the data model and architecture
  • The Power BI desktop client
  • From beginner to pro: creating your first Power BI report
  • Importing data into Power BI
  • Processing the imported data
  • Creating relationships between data sets
  • Data visualizations with Power BI
  • Dashboards in Power BI
Core Skills
Power BI fundamentals Power BI architecture Data modeling Data import Data cleansing Visualizations Dashboards Reporting

Power BI for Advanced Users

Summary

In this module, you will take your Power BI skills to the next level. You will work with user-defined visualizations, become familiar with complex DAX functions, and utilize advanced features such as bookmarks, forecasts, and clustering. You will also dive into the M-language of Power Query to transform data in a targeted manner and prepare it for your analyses. In this way, you will use Power BI in all its depth – for interactive reports that map even complex issues and optimally support data-based decisions.

Learning Outcomes

You will learn to:

  • use customized visualizations and interactive reporting elements in a targeted manner
  • use complex DAX functions to calculate and analyse KPIs
  • use advanced Power BI features such as bookmarks, forecasts and clustering
  • transform data efficiently with the M language in Power Query
  • use Power BI to create advanced, decision-relevant dashboards
Content
  • Introduction – in-depth insights into Power BI
  • Custom visualizations
  • Advanced reporting concepts
  • An introduction to DAX
  • An in-depth look at DAX
  • An introduction to M
Core Skills
Custom visualizations Interactive reports DAX Data modeling Power query M Language ETL processes KPI analysis

Power BI – Best Practice Examples and Use Cases

Summary

In this module, you will learn how to professionally model, analyse and visualize data in Power BI – in a practical way and with a view to real business applications. You will develop stable data models, make targeted use of DAX functions and create interactive dashboards that impress. Topics such as storytelling, usability, KPIs and data-based decision-making play just as important a role as the analysis of patterns, trends and anomalies. The module ideally prepares you for the MS PL-300 certification exam.

Learning Outcomes

You will learn to:

  • design and implement a structured and performant data model in Power BI
  • apply advanced DAX calculations including time intelligence and filter logic
  • design interactive reports and dashboards with clear visualization and data-based storytelling
  • to use optimization techniques to increase model performance in a targeted manner
  • to recognize patterns, trends and anomalies in data and derive business-relevant insights from them
Content
  • Preparation for the Microsoft certification PL-300
  • Designing a data model
  • Developing a data model
  • Creating model calculations with DAX
  • Creating reports
  • Creating dashboards
  • Optimizing reports: usability and storytelling
  • Identifying patterns and trends
Core Skills
Data modeling DAX Dashboard design Reporting Performance optimization Data analysis Decision support

Dashboarding and Reporting with Tableau

Summary

In this module, you will discover how to effectively visualize data and create interactive reports with Tableau. You will connect and prepare data, create clear dashboards and make targeted use of visualization techniques. Using realistic scenarios, you will learn how to use Tableau to gain data-based insights and support well-founded business decisions. A practical introduction to one of the leading business intelligence tools.

Learning Outcomes

You will learn to:

  • navigate safely through the Tableau Desktop user interface and connect data sources
  • select suitable chart types and use them specifically for different analysis purposes
  • use sorting, grouping and calculations to evaluate data sets in a structured way
  • incorporate geographical data into map visualizations and support visual storytelling
  • design interactive dashboards with multiple views and implement best practices for clear data presentation
Content
  • Introduction to Tableau: data visualization and business intelligence
  • Getting started with Tableau Desktop
  • Basics of chart visualizations
  • Sorting, grouping and calculations
  • Working with maps and customizing the view
  • Dashboards – combining views
Core Skills
Tableau Desktop Visualization Analytical functions Geodata analysis Dashboard design Business intelligence reporting

Capstone Project - Business Intelligence Project from A-Z

Summary

In the capstone project, you will apply the knowledge you have acquired in the course in practice and work on your own business intelligence question – from data analysis to visualization. You will create an interactive dashboard with Power BI and document your results professionally. At the end, you will present your solution to your mentor – the final step on your way to becoming a certified Business Intelligence Analyst.

Learning Outcomes

You will learn to:

  • analyze a BI question in a structured way and answer it based on data
  • identify and prepare suitable data sources and integrate them into Power BI
  • develop data models, key figures and visualizations in a targeted manner
  • design and publish interactive dashboards with Power BI
  • present analysis results in a comprehensible, target group-oriented and visually convincing way
Content

Hands-on project to implement a business intelligence solution with Power BI – from data preparation to presentation of results.

Core Skills
End-to-end business intelligence workflow Data modeling with Power BI DAX Interactive dashboards Data analysis and gaining insights Presentation and communication in the BI context
It's your path!

Learn how it suits you

You decide how, when and where you learn. Whether you want to study intensively full-time, flexibly part-time or on the job alongside your work, our courses adapt to your life.

Full-time

Want to immerse yourself fully in business intelligence analysis? Then take part in our full-time intensive course.

  • Qualification in 3,5 months
  • Learn online flexibly
  • 30-40 hours per week

Part-time

Do you have a part-time job, children or other commitments? Then take the business intelligence analysis course part-time.

  • Qualification in 7 months
  • Learn online flexibly
  • 10-20 hours per week

While working

Do you have a full-time job and hardly any time to study during the day? Then study alongside your job, in the evenings or at weekends.

  • Qualification in 12 months
  • Study online alongside your job
  • 2-4 hours per week

Your learning journey at a glance

Discover what your learning journey will look like and how to progress step by step toward becoming a Business Intelligence Analyst.

White_Rocket_Vektor
Your path to a future-proof profession

Student-centered online learning

Learn with and from the best. Get guidance from your personal mentor, career coaches who prepare you for the job market, and study advisors who are always there for you. Plus, connect with fellow students and alumni in our community to share insights on all aspects of your continuing education.

We’ve got your back! With our learner-focused approach, you get the support you need and a motivated team by your side.

One-on-one mentoring

Kickstart your career with support from a seasoned professional to ensure you’re fully prepared.

Support from your study advisor

Your study advisors are here to guide you through every question and every challenge on your journey.

Guidance from
career coaches

Our career coaches are with you from the start, helping you build a successful career.

Your learning community

Learning works best with others. Since learning isn’t a solo journey, you get exclusive access to our community.

Real world practice. Capstone project. Accredited portfolio.

Project based learning with
real-world skills and portfolio

The best way to learn business intelligence analysis is by gaining hands-on experience. Work on real projects and tasks to advance your career as a Business Intelligence Analyst.

Hands-on experience

Work on a hands-on project during your training and complete tasks just like those you’ll encounter in your future job.

Capstone project that opens doors

Create a capstone project that highlights your learning achievements and the skills you’ve gained in business intelligence analysis.

Industry-approved portfolio

Create an impressive portfolio that showcases your skills and opens doors with hiring managers.

5_Sterne_Bewertung
5,0/5,0

Highly recommended

Kursfinder_Bewertung_5-5
5_Sterne_Bewertung
4,9/5,0

Highest quality

5_Sterne_Bewertung
5,0/5,0

Customer satisfaction

Top salary & career opportunities

Secure excellent earning potential in a lucrative job as a future Business Intelligence Analyst.

Business Analyst

analyses business processes and supports optimisations

Up to   63.000 €

Data Analyst

analyses data and creates reports for data-driven decisions

Up to   56.500 €

Data Engineer

builds and maintains data infrastructure for analytics and applications

Up to   65.800 €

Data Scientist

develops models, evaluates big data and delivers forecasts

Up to   64.000 €

Machine Learning Engineer

develops and implements machine learning models and algorithms

Up to   66.000 €
Unique offer. Huge benefits.

We support you from day one in finding your dream job

Make the most of our career services to kickstart a successful business intelligence analysis career and build connections with leading employers.

CV & interview training

Take advantage of free job application training, customized to what employers are looking for.

Career coaching

We offer free career consultations with experienced HR managers to provide you with personalized advice.

Study and training guidance

Our study advisors support you with every question and help you overcome every challenge.

Job placement

We work closely with companies to connect students with the best job opportunities.

Do you need help with financing?

Financing made easy

A range of financing options is available for your professional development. Find out more here or consult our customer advisors for individual guidance.

Bildungsgutschein

Continue your professional development free of charge. If you are looking for work or your job is threatened by structural change, then take advantage of the government-funded Bildungsgutschein.

info icon Free

Bildungsgutschein

100% funded by the Arbeitsagentur

0 €

One-time Payment

Pay your tuition fees before the start of the training program. The easiest and most affordable way to further your education.

info icon Best price

One-time payment

Pay in full and save money

7.980 €

Monthly Payment

Pay conveniently in monthly installments, only for the duration you need to complete your continuing education.

One-time payment before the course starts: 3.390 €
Monthly payment: 2.500 €

info icon Maximum flexibility

Monthly payment

Pay conveniently in monthly instalments

3.390 € +
2.500 € x 2

Qualifizierungschancengesetz

Use government funding to cover up to 100% of your course fees and 75% of your salary.

info icon Free

Qualifizierungschancengesetz

Secure funding for your training costs and salary support

0,00 €

Bildungsgutschein

Leverage the Government-funded Bildungsgutschein when your business is affected by structural shifts and employees need upskilling to stay employed.

info icon Free

Bildungsgutschein

100% funded by the Employment Agency

0,00 €

One-time Payment

Upskill your employees and let them continue their training in business intelligence analysis alongside work.

info icon Flexible

One-time Payment

Register now and select your payment option.

7.980 €

Team Quota

Make your team strong in business intelligence analysis – explore our special offers for groups.

info icon Group Pricing

Team Quota

Enroll multiple team members and benefit from special rates.

On request

We have helped many enthusiastic people to develop professionally

Thousands of eager learners have successfully completed their training with us – see how we can help you to!

"The training "Certified Data Analyst" was a crucial success factor - I raised my knowledge to a new level in a very short time. The dynamic and focused pace was just right to keep me fully challenged and consistently engaged with the topics. The practice-oriented strategies were particularly valuable, delivering results that could be implemented immediately. The well thought-out questions and ground-breaking impulses not only broadened my thinking, but also highlighted clear areas of action for future success. For me, further training is not a question of if - but when, in order to continue to grow strategically."
Andreas Manietta
"Participating in the "Certified Data Scientist" course was a groundbreaking decision for me. The richness of practical knowledge exceeded my expectations and gave me a deeper understanding of complex data analysis. The challenges in the course not only strengthened my skills but also pushed my motivation to excel. The support from XDi was excellent and I feel well equipped to take on challenging projects in data science. I highly recommend this course to anyone who wants to take their career in this field to the next level!"
Daniel Naesa
"I am glad I decided to take the "Certified Data Scientist" course. The course has provided a tremendous amount of up-to-date knowledge, and has far exceeded my personal expectations. The course is without question challenging, but quickly rewards with a steep and presentable learning curve. I felt optimally supported by XDi at all times."
Denis Sarcevic
"I thoroughly enjoyed the Data Science course, especially the opportunity to apply theoretical knowledge to real-world scenarios. The course was well-structured and provided a solid foundation in data analysis with many practical examples to reinforce learning. I gained valuable insights and skills that I look forward to using in future roles."
Duygu Dogan
"The Data Analyst course brought me great joy! My mentor was always by my side, offering valuable professional advice and support, helping me every step of the way. The course was clearly structured and well-organized, enabling me to gain a comprehensive understanding of the role of a data analyst. The clear course design and the valuable support from my mentor were especially helpful in developing solid knowledge. I am happy to recommend this course to friends and acquaintances!"
Liudmyla Rotar
Analyst Engineer
"The Certified Data Analyst course provided me with comprehensive insights into the tasks of a Data Analyst. I was able to practice my skills through many practical examples and could always reach out to my mentor for questions or issues. The final project was enjoyable, and I had the chance to showcase my skills once again"
Louisa Fiedler
"The Certified Data Analyst training is very well structured and offers a comprehensive first insight into a variety of methods for data analysis and data visualization - from Excel and SQL to Python and Power BI. The focus is on Python/Pandas/Seaborn/Matploplib. The application examples from completely different fields are designed accordingly. I particularly enjoyed analyzing video game and Pokémon statistics, where it almost felt like I was using data to figure out how to become the very best Pokémon trainer. I always felt well looked after by the XDi team and Thomas was always there to mentor me."
Severine Rupp
Competent. Experienced. Empathetic.

Our mentors

Our trainers are industry experts with extensive experience in various companies, industries and countries. You will receive exactly the support you need to learn what you want. You will benefit from individuals with in-depth specialist knowledge and teaching skills.

info icon >10 years of experience info icon Industry experts info icon Extensive expertise info icon Pedagogical competence info icon Real personalities

Thomas teaches at the Faculty of Economics at the KU Eichstätt-Ingolstadt and holds a professorship for financing and banking at this university. In addition to research and teaching, Thomas is successfully active in consulting and professional development. He has over 20 years of experience as a data scientist, both in research and in the project business. Today, he implements all projects in research and for external clients in Python and the corresponding Python libraries. As a mentor and trainer, Thomas stands for lively, interactive teaching that is characterised by variety between content transfer and independent work. Thomas is convinced that anyone can learn to use programming languages such as Python to solve practical problems.

Prof. Dr. Thomas Mählmann

Data Scientist and Python Coach

Prof. Dr. Thomas Mählmann

Data Scientist and Python Coach

Manuel Bordasch is CTO of CompAn Labs GmbH, which specializes in AI-based and conventional data analysis. In his day-to-day work, he plays a leading role in the development and support of customer projects. Another focus is the further development of his self-designed and developed data intelligence platform Dashlake®. Over the past 15 years, he has held numerous lectures and seminars in the field of artificial intelligence. This teaching experience is combined with a wide range of professional experience – from start-ups to SMEs and corporations. He manages to make abstract theories vivid and tangible. His goal as a trainer and mentor: maximum knowledge growth for the participants.

Manuel Bordasch

Data scientist, Data Analyst, Data Engineer, AI Specialist

Manuel Bordasch

Data scientist, Data Analyst, Data Engineer, AI Specialist

Sven Ertel works as a freelance data analyst in a wide range of industries and has gained extensive experience in supporting companies, especially their (BI) departments. His expertise includes the design and implementation of reporting systems, data preparation and connection as well as data visualization. Among other things, he has developed global sales monitoring systems for a Bavarian car manufacturer and analyzed and prepared marketing campaign data for a German aviation company.

In his role as a data scientist at the Serviceplan Group, Sven has established a solid, professional foundation in project management for various customer projects. He has also refined and applied his IT skills in various technologies. During this time, he also led training and education on UX/UI-optimized BI reporting, helping to improve the usability and efficiency of BI solutions.

Sven Ertel

Data Scientist, Data Analyst

Sven Ertel

Data Scientist, Data Analyst

Your questions - our answers

Do you still have questions? You can find the answers here. Is your question not answered? Then simply contact us directly.

FAQ_Ansprechpartnerinnen
More XDi training courses that may interest you

Discover more interesting training courses

Data & AI

Certified Data Analyst

Data analytics, databases, data storytelling and visualization in practice – Data Analytics Online Bootcamp with mentor and Bildungsgutschein

Business

Certified Product & Project Manager

Agile Product Management and Project Management for the Digital World – Guided E-Learning Bootcamp with Mentor and “Bildungsgutschein”

Business, Data & AI

Database Management and Data Analysis with MySQL & SQL

Relational databases, MySQL, SQL Queries, data management, Business Intelligence, Structured Query Language, data analysis. Database management & data analysis with MySQL/SQL – Online bootcamp with mentor and Bildungsgutschein

Business, Data & AI

Business Intelligence with Power BI & Tableau

Business Intelligence (BI), Power BI, Tableau, data analysis, dashboards, data visualization, reporting, data modeling – Business Intelligence with Power BI & Tableau – Online bootcamp with mentor and Bildungsgutschein

Certified and accredited

Government-approved and 100% eligible for funding. We are AZAV and ZFU certified. Our e-learning courses can be 100% financed with a Bildungsgutschein from the Arbeitsagentur.

Certqua_Siegel
ZFU_Siegel

Certified and accredited

Government-approved and 100% eligible for funding. We are AZAV and ZFU certified. Our e-learning courses can be 100% financed with a Bildungsgutschein from the Arbeitsagentur.

Certqua_Siegel
ZFU_Siegel

Get in touch with us

Send us a message. We will get back to you within 24 hours.

Your concern

Choose a salutation*
  • Ms.
  • Mr.
  • Ms. Dr.
  • Mr. Dr.
  • Ms. Prof.
  • Mr. Prof.
How did you learn about us? How did you learn about us?
  • mein Now / KURSNET
  • Arbeitsagentur
  • Jobcenter
  • Private educational consultants
  • Trade fair / event
  • Google
  • Kursfinder
  • LinkedIn
  • Facebook
  • Instagram
  • Bing
  • Artificial intelligence
  • X
  • YouTube
  • Newsletter
  • Personal recommendation
  • HR-Manager / HR-Department
  • Other
*Mandatory fields

Your direct contact to us

We look forward to hearing from you and will get back to you soon.
  • Do you want to further your education and get started?
  • Would you like to find out more about us?
  • Do you have questions and need advice?

Any questions?

We are happy to help. You can reach us Monday to Friday from 8:00 to 17:00.
Valentina Caronia

Valentina Caronia

Account manager & Community manager