JJ
4.0Reviewed May 17, 2019
The tutor organised the course with clear points and highlights questions during videos. The only confusion is about web version xlminer tool.
Predictive Modeling and Analytics
Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. The expected prerequisites for this course include a prior working knowledge of Excel, introductory level algebra, and basic statistics.
Status: Regression Analysis
Status: Statistical Modeling
IntermediateCourse11 hours
Featured reviews
AA
5.0Reviewed Aug 11, 2019
Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course
RM
4.0Reviewed Sep 10, 2019
Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.
CW
4.0Reviewed Sep 8, 2018
Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material
AG
5.0Reviewed Sep 23, 2020
This course gives a good background to building predictive models as well an easy to use tool for learning how to do it.
AA
5.0Reviewed Jul 6, 2020
It has been very exciting and an eye-opening for me. I am getting into the world of data analytics gradually. Thanks for this great opportunity.
OD
5.0Reviewed May 29, 2019
Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.
AA
5.0Reviewed May 16, 2020
Great course for starting learning the basics of predictive modeling and its application in MS Excel!
TN
5.0Reviewed Apr 14, 2020
Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.
JW
5.0Reviewed Jun 14, 2023
Very engaging course and I appreciated the exercises that were required to be done during the course. I look forward to continuing the series.
TS
5.0Reviewed Aug 16, 2020
This is my first course in Coursera but I can understand the methods and tools easily. So, I would like to say thanks to instructor .
HA
5.0Reviewed Nov 19, 2017
this course teach you about the technical of using tools for predictive modeling. very useful for you who want to learn the fundamental of analytics.