Predictive Analytics: Introduction to Business Forecasting faq

star-rating
5
learnersLearners: 33
instructor Instructor: Illumeo Learning,Michael McDonald instructor-icon
duration Duration: duration-icon

Learn how to predict the future using data from the past with the Predictive Analytics: Introduction to Business Forecasting course. Discover how organizations use predictive analytics every day to make informed decisions, such as developing customer lifetime value measures and product recommendation capabilities. This course will provide you with the basics of predictive analytics, allowing you to confidently work with and communicate results and recommendations to others in your organization. Brought to you by Illumeo, a leading corporate learning platform, this course is designed to help you become an expert in your field. Sign up now and unlock the power of predictive analytics.

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2020-10-22

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 15th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
No one has the ability to capture and analyze data from the future However there is a way to predict the future using data from the past It's called predictive analytics and organizations do it every dayHas your company for example developed a customer lifetime value (CLTV) measure? That metric involves using predictive analytics to determine how much a customer will buy from the company over time Do you have a service or product recommendation capability? That's an analytical prediction of the product or service that your customer is most likely to buy next Have you made a forecast of the upcoming quarter's sales? Or used digital marketing models to determine what ad to place on what publisher's site? All of these are forms of predictive analyticsThis course covers a few basics so you become more comfortable working with and communicating with others in your organization about the results and recommendations from predictive analyticsThis course is brought to you by Illumeo Illumeo incorporated in 2009 is revolutionizing the hide-bound world of corporate learning Illumeo works with corporate professionals and organizations of all sizes to build the skills and capabilities that help everyone be an expert at their job Based in Silicon Valley CA Illumeo serves thousands of corporations and corporate professionals across Finance Accounting Human Resources Sales and Marketing The platform offers assessments industry-benchmarked competency analyses hundreds of expert-developed courses collaborative tools and the ability for companies to self-publish internal courses that promote institutional knowledge retention and dissemination Illumeo is the place for expertise management and we are dedicated to the proposition that everyone can be an expert at their job

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)

What skills and knowledge will you acquire during this course?
During this course, the learner will acquire skills and knowledge in predictive analytics and business forecasting. They will learn how to analyze data from the past to make predictions about the future. The course will cover topics such as customer lifetime value (CLTV) measurement, product or service recommendation capabilities, sales forecasting, and digital marketing models. By the end of the course, the learner will feel more comfortable working with and communicating about the results and recommendations from predictive analytics.

How does this course contribute to professional growth?
This course on Predictive Analytics: Introduction to Business Forecasting contributes significantly to professional growth. By learning about predictive analytics, professionals can enhance their ability to make informed decisions based on data from the past. This skill is crucial in various aspects of business, such as developing customer lifetime value measures, product recommendations, sales forecasts, and digital marketing strategies.

By becoming more comfortable working with and communicating about the results and recommendations from predictive analytics, professionals can effectively contribute to their organization's success. They will be able to provide valuable insights and make data-driven decisions, which can lead to improved business outcomes.

Moreover, this course is offered by Illumeo, a renowned organization dedicated to revolutionizing corporate learning. By enrolling in this course, professionals can benefit from Illumeo's expertise and resources, which can further enhance their professional growth. Illumeo's platform offers assessments, competency analyses, expert-developed courses, and collaborative tools, all of which contribute to building skills and capabilities.

Overall, this course on predictive analytics not only equips professionals with valuable knowledge and skills but also provides them with the opportunity to learn from industry experts and collaborate with peers. This contributes significantly to their professional growth and enables them to excel in their respective roles.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It covers the basics of predictive analytics and provides an understanding of how to use data from the past to predict the future. It also provides an understanding of how to communicate the results and recommendations from predictive analytics. Additionally, the course is brought to you by Illumeo, a company that works with corporate professionals and organizations of all sizes to build the skills and capabilities that help everyone be an expert at their job.

Course Syllabus

Introduction

Supporting Materials

Review and Test

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Predictive Analytics: Introduction to Business Forecasting

faq FAQ for Predictive Analytics Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 33 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Predictive Analytics courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.