Certified Predictive Modeler (CPM)
Introduction and Overview
Do you want to know how you can make business predictions through advanced analytics? Do you want to learn the many techniques from data mining, statistics, modeling, machine learning and artificial intelligence to historical and current data to make predictions about the future?
Predict not just your future but the future of the organization you are working for & get ahead of the game. Enroll now! This specialized course covers the concept of business analytics with more focus on predictive analytics and deals with principles, concepts, techniques and tools used in business analytics landscape.
This course covers different types of business analytics use cases. Participants will understand the concept of data mining, will learn to use the tool for operations like data loading, data cleansing / preparation and building predictive models for a given business data and will acquire the knowledge on how to use business analytics strategically to get the most benefit out of it.
Pre-requisites
- Participants are preferred to have minimum 2 years of experience in software development, business domain or data/business analysis.
Course Outline
- Unit 1: Introduction to Business Analytics
- Unit 2: Types of Analytics
- Unit 3: Predictive Analytics
- Unit 4: Data Mining and Analytics
- Unit 5: Data Mining Tool – RapidMiner
- Unit 6: Data Preparation and Cleaning
- Unit 7: Data Mining Techniques
- Unit 8: Introduction to Predictive Modeling with Regression
- Unit 9: Introduction to Predictive Modeling with Rule Induction
- Unit 10: Introduction to Predictive Modeling with Decision Tree
- Unit 11: Introduction to Predictive Modeling with Neural Network
Who Should Attend
- Data Analyst - Statistics and Mining
- Data Analyst - Text Analytics
- Operations Research Analyst
- Senior Data Analyst- Statistics and Mining
Course Outcome
- Business analytics and its impact on enterprises
- Understand the role of predictive analytics and its importance in industry
- Learn to apply data loading, data preparation and cleaning techniques
- Learn to apply the data mining techniques using an open source tool
- Acquire knowledge on predictive modeling with regression, rule induction,
decision tree and neural network
Program Structure
This is a 3-day intensive training program with the following assessment components.
- Component 1. Written Examination (MCQ)
- Component 2. Project Work Component (PWC)
These components are individual based. Participants will need to obtain 70% in both the components in order to qualify for this certification. If the participant fails one of the components, they will not pass the course and have to re-take that particular failed component. If they fail both components, they will have to re-take the assessment.