Question 1

Q1 What is predictive modeling?

Accepted Answer

Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modeling 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.

Question 2

Q2 When will I have access to the lectures and assignments?

Accepted Answer

Predictive Modeling 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 predictive modeling course, you will 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 Modeling Fundamentals II, we therefore recommend that you complete this course and then enroll for Predictive Modeling Fundamentals II when you are ready. This will ensure you have covered the required topics for this subject.

Question 3

Q3 Is this Predictive Modeling Fundamentals I this course 100% online?

Accepted Answer

Yes. This predictive modeling course 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 course materials. The materials for this predictive modeling course 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.

Question 4

Q4 What background knowledge is necessary?

Accepted Answer

This predictive modeling course has been specifically designed for learners who have never worked in the field of predictive modeling 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 course. This will help you greatly as you progress.

Predictive Modeling Fundamentals I

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Overview

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Course

Predictive Modeling Fundamentals I

Self-Paced

Mentored

Beginner

Duration

Fee

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Predictive Modeling Fundamentals I Course - SkillUp Online

Predictive Modeling Fundamentals I

Loading...

Overview

Loading...

Course

Predictive Modeling Fundamentals I

Self-Paced

Mentored

Beginner

Duration

Fee

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