Machine Learning for Data Science Projects

Build Practical Machine Learning Skills for Data Science.

This course provides a practical introduction to applying machine learning techniques in data science projects.

Participants will explore the complete machine learning workflow, including data modeling, fraud diagnostic analytics, machine learning algorithms, and fraud prediction using AutoAI. Through hands-on learning, learners will gain an understanding of how to build, evaluate, and apply machine learning models to solve real-world business problems.

You don't have to wait for the registration confirmation email to start your learning journey. You can start your learning with self-paced content and enrich yourself even more with live sessions. Please click "Enroll" to confirm your participation and track your progress in this programme. Please allow 2 business days to receive your IBM SkillsBuild programme registration confirmation email.

When and Where

Enroll to confirm your participation and track your progress.
Registration opens on September 14, 2026, and closes on October 2, 2026.
Register before October 2, 2026 at this link: https://skills.yourlearning.ibm.com/activity/PLAN-60842BA9EE86?ngo-id=0442&utm_campaign=open-3Q26COHmachineENG-NWLB

Cohort Schedule:

• Orientation sessions period: 23 Sep, Sep 30
• Course starts on: 5 Oct
• First Instructor-led session: 7 Oct
• Second Instructor-led session: 14 Oct
• Third Instructor-led session: 21 Oct
• Fourth Instructor-led session: 28 Oct
• Course ends on: 1 Nov
• Closing Ceremony: 11 Nov

Session Times:

• 11:00 AM for US (ET)
• 6:00 PM for MEA (GMT+3)

Language: English

If the session's time zone is not suitable for you, we encourage you to register anyway so that you can access the recordings later.

Who Can Join?

This course is designed for learners interested in applying machine learning techniques in data science projects.

Through hands-on learning, participants will explore machine learning workflows, data modeling, fraud detection, predictive analytics, machine learning algorithms, and AutoAI for automated model development.

What You'll Do

Build practical machine learning skills through hands-on learning:

• Understanding the machine learning lifecycle
• Data modeling and preparation techniques
• Fraud detection and predictive analytics
• Machine learning algorithms and their applications
• AutoAI for automated model development
• Practical use cases in data science projects

What You'll Get

By the end of this cohort, participants will be able to:

• Understanding the machine learning lifecycle
• Data modeling and preparation techniques
• Fraud detection and predictive analytics
• Machine learning algorithms and their applications
• AutoAI for automated model development
• Practical use cases in data science projects
  
  

Contact: For any questions or inquiries, feel free to contact [email protected]. To ensure you receive programme updates, add this email address to your email contacts or safe list.

By participating in this learning activity, you acknowledge that Skill-Up Technologies, a training delivery vendor of IBM SkillsBuild, will process your data on behalf of IBM and contact you regarding your participation in this learning activity and other IBM SkillsBuild educational activities.