Predictive Modeling Fundamentals I
Discover the world of predictive modeling and learn how business users, data scientists, and developers extract insightful predictions from data. Explore the capabilities of IBM SPSS Modeler.
Master the basics of this critical skill and open up new opportunities in the fast-expanding field of big data analytics.
Earn your certificate
Once you have completed this course, you will earn your certificate.Preview digital certificate
- IBM Certificate
About this course
- 05 Modules
- 01 Skill
- Discussion space
- 05 Hands-on labs
- 06 Videos
- 10 Final excercises
- 15 Review quizzes
- Use IBM SPSS Modeler to solve a Kaggle competition
Exercises to explore
- Cluster Analysis
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Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred.
Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more.
Predictive Modelling Fundamentals I is provided 100% online. You will therefore need access to the internet to be able to use the course materials. When you enroll for this course, you be able to access the course materials from the course link in your dashboard immediately. Please note, this course has been designed to be taken with Predictive Modelling Fundamentals II, we therefore recommend that you complete this course and then enroll for Predictive Modelling Fundamentals II when you are ready. This will ensure you have covered the required topics for this subject.
Yes. Predictive Modeling Fundamentals I is 100% online. You will not be required to attend any classes in person. To enable this, however, you do need to have appropriate access to the internet for the live sessions, plus the required technology to be able to use the program materials. The materials for the program are in the form of articles, videos, and knowledge checks.
This, of course, makes accessing the program very easy wherever you live in the world. However, it can seem lonely to some individuals. The good news is, though, that you will be actively encouraged to connect with others on the program through the discussion space. And you can enjoy assisted mentoring and access to your instructors outside the live sessions too.
This program has been specifically designed for learners who have never worked in the field of predictive modelling or big data before; you do not need to have background experience at all. It therefore offers an excellent introduction to the subject. However, you will need basic math and statistical knowledge, some basic computers skills, and also some basic programming experience before you start the program. This will help you greatly as you progress.