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## Learner Reviews & Feedback for Introduction to Predictive Modeling by University of Minnesota

4.8
stars
73 ratings

Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesotaâ€™s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. By the end of the course, you will be able to: - Understand the concepts, processes, and applications of predictive modeling. - Understand the structure of and intuition behind linear regression models. - Be able to fit simple and multiple linear regression models to data, interpret the results, evaluate the goodness of fit, and use fitted models to make predictions. - Understand the problem of overfitting and underfitting and be able to conduct simple model selection. - Understand the concepts, processes, and applications of time series forecasting as a special type of predictive modeling. - Be able to fit several time-series-forecasting models (e.g., exponential smoothing and Holt-Winterâ€™s method) in Excel, evaluate the goodness of fit, and use fitted models to make forecasts. - Understand different types of data and how they may be used in predictive models. - Use Excel to prepare data for predictive modeling, including exploring data patterns, transforming data, and dealing with missing values. This is an introductory course to predictive modeling. The course provides a combination of conceptual and hands-on learning. During the course, we will provide you opportunities to practice predictive modeling techniques on real-world datasets using Excel. To succeed in this course, you should know basic math (the concept of functions, variables, and basic math notations such as summation and indices) and basic statistics (correlation, sample mean, standard deviation, and variance). This course does not require a background in programming, but you should be familiar with basic Excel operations (e.g., basic formulas and charting). For the best experience, you should have a recent version of Microsoft Excel installed on your computer (e.g., Excel 2013, 2016, 2019, or Office 365)....

## Top reviews

NR

Sep 17, 2021

Loved the forecasting lecture. I've used other forecasting methods but learned the composite method first time. Highly recommended course for supply chain and manufacturing students and professionals.

AK

Oct 15, 2021

This course is amazing. very well structured and logical teaching sequence and explaination. I've learned through this course more than the lectures from my university. thanks a lot !

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## 1 - 20 of 20 Reviews for Introduction to Predictive Modeling

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May 16, 2021

Good course! The videos and instruction are very good. I thought the week 4 coursework was substantially more difficult than the prior three weeks, so be prepared for that. Overall, I really enjoyed the class.

By CHIN W L

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May 14, 2021

Thanks, I enjoyed the course teaching and new knowledge. Looking forward to continue with the next course in this specialization.

By J H

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May 30, 2021

I really like how there were lots of examples for us to practice on. It helped to reinforce what we were learning

By Kevin D

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Jul 30, 2021

This is a great course, I think people starting this should get a grasp of basic statistics and working knowledge of excel to make the learning experience much better. However, I think this course is straightforward and the instructor does go over the material very well! Topics on time series forecasting is a bit of a challenge but follow the videos and exercises, you will be fine:)

By NB

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Jan 29, 2023

It is one of the best compact course in Excel spreadsheet in coursera. It covers several advanced topics in Statistics and Data Analysis by using a lot of advanced techniques in Excel combining with the corresponding literacy.

The main syllabus prepares someone to follow other methods in Machine Learning and Time-series Statistics (like, ARIMA) or Classification Methods, even though to learn these important methods. It was a happy moment to learn about data cleaning and several concepts like Pivot Tables, Interaction Statistics, Seasonal Analysis,... etc.

After this successful attendance, I am very confident to work on Prediction Analysis by using a spreadsheet and being able to explain what happens in different numerical results and graphs. This course applies as a complement unit to a solid background in statistics and mathematics (i.e., series expansion, F-test, etc) for a better understanding of the common stochastic models in Time-series module. It is not a mathematically oriented unit but the mathematics is the basic thinking.

A special note: This course gives a first view of Excel Solver for optimization problems that is important to the course 3 of this specialization.

By Chananthorn S

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Sep 9, 2021

This course is the basic of business analytic course but not easy for me because my English is not good. Instructor De Liu teach easy to listen ,clearly and very helpfully for choosing accuracy data analytic model with demonstrated examples. I don't good at in English but I can listen and understood the lesson that you can learn 30 minute/day very short and suitable for study among working day.

By Noaman R

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Sep 18, 2021

Loved the forecasting lecture. I've used other forecasting methods but learned the composite method first time. Highly recommended course for supply chain and manufacturing students and professionals.

By Kima

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Oct 16, 2021

This course is amazing. very well structured and logical teaching sequence and explaination. I've learned through this course more than the lectures from my university. thanks a lot !

By Bonface M

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Mar 1, 2023

Best course structure, very practical, the professor presents very well and easy to follow. I like the exercises and snap quiz within videos. One of my best course so far on Coursera.

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Oct 6, 2022

This course did a great job of covering many topics and explaining their applications so that you can use the tools in real world scenarios.

By Chris N

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Jan 25, 2022

Great course, good topic material and examples and well taught. Overall it was useful and relevant.

By Dr. M K

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Dec 16, 2022

A well planned course on predictive modelling with hands on practice on MS Excel.

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Dec 3, 2022

Great Thank for sharing precious Information.

By Ngoc T D T

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Nov 25, 2022

very clear explaination thank you

By Komal B

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Feb 16, 2022

it was an excellent simple course

By Jehangeer

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Nov 1, 2022

Fantastic course :)

By Khubaib K

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Sep 10, 2021

best instructor

By Nazar K

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Apr 17, 2022

i like it

By Vishwanath S

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Aug 22, 2022

Contents presentation is very good.

Given 1 star less due to non inclusion of ARIMA models.

By Michael O

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May 25, 2022

I found that the course exams questions were difficult to read for a dyslexic because of the cell format and font