Analytics and Innovation

The AI Deep Dive certificate for the Digital Makers of Tomorrow

Analytics and Innovation:

Use the possibilities of AI in this 1-month intensive course

Improve your understanding of AI and learn to master real-world challenges with cutting-edge tools. You’ll dive into the fundamentals of programming, learn how AI engines work, learn world-class techniques for data collection and integration, evaluate machine learning models for predictive analytics in real-world scenarios, and delve into the complex world of ethics and governance – all to prepare you for the AI-driven business world of tomorrow. Don’t miss the chance to advance your career and gain a deep understanding of AI and its applications.

Learn from the best!

Signet Top Further Education Provider by Statista

At XU Exponential University, we always strive to offer you the best learning experience. We have been recognized by Statista.de, Germany’s top platform for statistics and data collection, for our special range of practical learning experiences, quality content and special learning environment and are one of the top providers of continuing education.

05.02.25-28.02.25

Online certification course

Tuition fees

  • Standard: EUR 680.00

  • Alumni-Special-Price: EUR 340.00

Instructors:
Prof. Dr. Raad Bin Tareaf
Baseer Baheer M.Sc.

Your instructors

Raad Bin Tareaf

Prof. Dr. Raad Bin Tareaf

Professor for Data Science

Baseer Baheer

Baseer A. Baheer M.Sc.

Senior lecturer for Data Science and Coding & Software Engineering

The course includes…

8 Live sessions
3 Peer-to-peer coaching sessions

The course takes place entirely online. The live sessions will be streamed and made available to you.

For whom is this course?

  • Professionals from various fields who want to expand their skills and become data literate.
  • Students and alumni who would like to enrich their studies with a unique Nano Degree.
  • Enterprise customers who want to introduce their teams to the basics of AI (please contact us if you are interested in a customized version tailored to your specific requirements).

What are my advantages?

Tools

Whether you are looking to advance your career or embark on a new path, this program will introduce you to the key concepts and tools relevant to the professions of the future.

AI icon

You will learn how to best apply and utilize artificial intelligence, machine learning and data analysis.

Big Data icon

You will be empowered to unlock the potential of big data and AI for business intelligence and strategy and take your project to the next level.

networking icon

You strengthen your personal network and work closely with the lecturers and other participants during and after the program.

real life projects icon

During this journey, you will have the opportunity to apply data analytics and innovation techniques to your work, engage in peer-to-peer learning and immerse yourself in real-world case studies.

Your program sequence:

Week 1

Python programming for AI and machine learning

Preparatory session part 1

Feb. 5th ’25 | 12:30pm – 02:00pm (UTC +1)

  • The first sessions introduce Python programming, with a focus on data manipulation, analysis techniques and basic concepts of AI and ML.
  • w/ Prof. Dr. Raad Bin Tareaf

Preparatory session part 2

Feb. 7th ’25 | 12:30pm – 02:00pm (UTC +1) 

  • Based on this practical introduction, you will understand how tools such as ChatGPT or Midjourney work and how to evaluate their output.
  • w/ Baseer Baheer

Peer-to-peer coaching session 1 (optional)

Feb. 10th ’25 | 12:30pm-02:00pm (UTC +1)

 

Week 2

Session 3: Data collection and integration techniques

Feb. 12th ’25 | 12:30pm-02:00pm (UTC +1)

  • You will discuss strategies for effective data collection, techniques for data integration and methods for ensuring data quality and reliability.
  • This enables you to understand the principles of database management and applications such as CRM systems.
  • w/ Prof. Dr. Raad Bin Tareaf

Session 4: Advanced data analysis and visualization

Feb. 14th ’25 | 12:30pm-02:00pm (UTC +1)

  • The session introduces techniques for exploratory data analysis, tools for creating interactive visualizations and business analytics case studies.
  • You will be able to understand big data analytics in various areas such as marketing analytics, agency analytics, HR analytics or business intelligence and interpret visualizations accordingly.
  • w/ Baseer Baheer

Peer-to-peer coaching session 2 (optional)

Feb. 17th ’25 | 12:30pm-02:00pm (UTC +1)

Week 3

Session 5: Machine learning models for predictive analyses

Feb. 19th ’25 | 12:30pm-02:00pm (UTC +1)

  • This session is about building predictive models and evaluating their performance.
  • You will explore real-world applications of ML-based predictive analytics in various industries.
  • w/ Prof. Dr. Raad Bin Tareaf

Session 6: Ethics and governance in data management

Feb. 21st ’25 | 12:30pm-02:00pm (UTC +1)

  • As today’s and tomorrow’s business world will be shaped more by AI than anything else, you will be introduced to the GDPR and other data protection laws.
  • In this session, we will also cover ethical challenges and explore how to build data governance frameworks for different organizations.
  • w/ Baseer Baheer

Peer-to-peer coaching session 3 (optional)

Feb. 24th ’25 | 12:30pm-02:00pm

Week 4

Intensive sessions 7 and 8: Capstone project

Part 1

Feb. 26th ’25 | 12:30pm – 02:00pm

  • This week is all about you. We will explore the challenges you are currently facing – be it in areas such as CRM, cyber security or business intelligence – and guide you on the journey from problem to solution using AI, ML and data analytics.
  • w/ Prof. Dr. Raad Bin Tareaf

Part 2

Feb. 28th ’25 | 12:30pm – 02:00pm

  • You are invited to bring your own projects, but this is by no means required as we examine cases based on key concepts and derive insights that can be applied in a variety of tasks.
  • w/ Baseer Baheer

     

Any questions?

Our representatives will be happy to help you!

For all questions about the course content

 

 

Prof. Dr. Raad Bin Tareaf

For all administrative questions

 

 

Dr. Henrik Schober-Oschmann