Predictive Modeling Fundamentals I
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Course
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.
Self-Paced
Mentored
Beginner
Duration
5 hrs/week
The data industry touches all sectors. Big data itself is a mix of structured, semi-structured, and unstructured data that is gathered from many sources. It is used in machine learning programs, predictive analytics, and other advanced insight applications. And it offers insightful possibilities that range from relatively simple behavioral information to highly complex and nuanced data science.
Predictive analytics brings together advanced analytics capabilities that span across ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, and machine learning.
During this predictive modeling course, you will learn how to describe predictive modeling and you will discover how and why it is used. You will develop a good understanding of the CRISP-DM methodology and the IBM SPSS Modeler Workbench. You will also explore common modeling techniques, and learn how to prepare, model, and evaluate data using IBM SPSS Modeler.
For learners keen to excel in the world of big data, developing skills in analyzing data is a critical first step. This predictive modeling course will provide you with the fundamentals you need in predictive modeling to move onto more advanced learning in the field.
This predictive modeling course comprises five purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes, it is anticipated that with 5 hours of study, you will be able to complete it. However, as long as the course is completed by the end of your enrolment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrolment. Methods of learning and assessment will include videos, reading material, and online exams questions.
As part of our mentoring service, you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which is an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package-wise.
Once you have successfully completed the course, you will earn your IBM Certificate.
After completing this course, you will have:
- Ability to describe what predictive modelling is and why it is used.
- Understanding of CRISP-DM methodology and the IBM SPSS Modeler Workbench.
- Understanding of common modelling techniques.
- Ability to use IBM SPSS Modeler, e.g. to solve a Kaggle competition.
- Understanding of how to prepare, model and evaluate data using IBM SPSS Modeller.