Course Provider
What will you learn in Predictive Modeling Fundamentals I course?
After completing this course, you should be able to:
- Describe what Predictive Modeling is all about and know why you would want to use it
- Understand the CRISP-DM methodology and the IBM SPSS Modeler Workbench
- Understand Common Modeling Techniques
- Use IBM SPSS Modeler to solve a Kaggle competition
- Explore, Prepare, Model and Evaluate your data using IBM SPSS Modeler
Predictive Modeling Fundamentals I
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Skill Type
Emerging Tech -
Domain
Big Data Analytics -
Course Category
Popular Tech Topics -
Certificate Earned Partner Completion certificate -
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Course Price
INR 2,599+ 18% GST -
Course Duration
5 Hours
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Why you should take Predictive Modeling Fundamentals I course?
In this course, you will learn the basics to get started with Predictive Modelling and how it brings together advanced analytics capabilities spanning ad-hoc Statistical Analysis, Data Mining, Text Analytics, Entity Analytics, Optimization, Real-time Scoring, Machine Learning and more.
Who should take Predictive Modeling Fundamentals I course?
This course is intended for those who want to perform data mining, modeling and deployment using the capabilities provided by the SPSS modeler and SPSS Collaboration and Deployment Services.
Curriculum
- Module 1: Introduction to Data Mining
- Introduction to Data Mining
- IBM SPSS Modeler Interface
- Lab 1 - SPSS Installation
- Module 2: The Data Mining Process
- The Data Mining Process
- Lab 2 - Data Exploration and Preparation
- Module 3: Modeling Techniques
- Modeling Techniques
- Lab 3 - Building Models
- Module 4: Model Evaluation
- Model Evaluation
- Lab 4 - Modeling for Predictions
- Module 5: Deployment on IBM Bluemix
- Deployment on IBM Bluemix
- Lab 5 - Deployment on IBM Bluemix
- Final Exam
Tools you will learn in Predictive Modeling Fundamentals I course
SPSS Modeller
FAQs
Predictive modelling uses statistics to predict outcomes. It is usually used to predict outcomes in the future, however it can be used for any type of event.
Once you have completed this course, you will have:
• The ability to describe what predictive modelling is and why it is used.
• An understanding of CRISP-DM methodology and the IBM SPSS Modeler Workbench.
• An understanding of common modelling techniques.
• The ability to use IBM SPSS Modeler, e.g. to solve a Kaggle competition.
• An understanding of how to prepare, model and evaluate data using IBM SPSS Modeler.
As soon as you enroll for this course, you will have access to all the information and materials in your dashboard.
This course is run by our partner SkillUp Online. It is 100% online, and you do not need to attend any classes in person. You simply require adequate access to the internet and the required technology to be able to use the course materials, which come in the form of articles, videos, and knowledge checks. Plus, you will be able to connect easily with others on the course and your mentors through the discussion space.
This course has been 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 in this arena. However, you do need basic math and statistical knowledge, some basic computers skills, and also some basic programming experience.