Introduction to Predictive Modeling(으)로 돌아가기

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Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’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-Winter’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)....

최상위 리뷰

NR

2021년 9월 17일

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

2021년 10월 15일

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 !

필터링 기준:

Introduction to Predictive Modeling의 12개 리뷰 중 1~12

2021년 5월 16일

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.

교육 기관: J H

2021년 5월 30일

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

교육 기관: Kevin D

2021년 7월 30일

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:)

교육 기관: CHIN W L

2021년 5월 14일

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

교육 기관: Chananthorn S

2021년 9월 9일

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.

교육 기관: Noaman R

2021년 9월 18일

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.

교육 기관: Kima

2021년 10월 16일

T​his 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 !

교육 기관: Chris N

2022년 1월 25일

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

교육 기관: Komal B

2022년 2월 16일

it was an excellent simple course

교육 기관: Khubaib K

2021년 9월 10일

best instructor

교육 기관: Nazar K

2022년 4월 17일

i​ like it

교육 기관: Michael O

2022년 5월 25일

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