Chevron Left
返回到 Predictive Modeling and Analytics

学生对 University of Colorado Boulder 提供的 Predictive Modeling and Analytics 的评价和反馈

3.6
602 个评分

课程概述

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....

热门审阅

TN

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.

OD

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.

筛选依据:

101 - Predictive Modeling and Analytics 的 125 个评论(共 217 个)

创建者 Kashif A K

Jul 6, 2020

it was very informative and great experience

创建者 Rodolfo M C

Jul 11, 2022

i like the course because it is practical

创建者 Emmanuel C O

Feb 18, 2020

Great Course... Very useful learnings...

创建者 Adekunle I

Jul 26, 2020

this is the best course anyone can take

创建者 Ivan Z

Jul 29, 2018

Dan Zhang is a very good teacher.

创建者 Rashmi P

Jan 6, 2022

Very informative course

创建者 ANKIT S

Jun 18, 2020

Detailed and usefull

创建者 Murodkhuja M

May 5, 2020

excellent course

创建者 Avinash T

Aug 28, 2017

Very nice course

创建者 Tanay C

Nov 27, 2017

its really good

创建者 MOH M Y S

Oct 4, 2020

Great Course !

创建者 PRALAY P

Apr 29, 2018

Great Course !

创建者 Sandhya K

Jan 3, 2017

Well explained

创建者 Carlos A U M

Jul 11, 2020

Great course!

创建者 Sergio A M O

Jun 5, 2020

Great course

创建者 Jorge L P R

Feb 25, 2021

Excelenete

创建者 KM I P

Sep 19, 2023

well Done

创建者 Olanrewaju B

Jul 16, 2020

its hard

创建者 Ameerah

Sep 9, 2017

awsome

创建者 P. H

Sep 3, 2024

Good.

创建者 EMAD A A A

Sep 21, 2021

good

创建者 Germán A R R

Aug 10, 2020

Overall is a practical and interesting course. Sometimes the quizes or assignments are not direct related to the lecture, however you can get to the point thinking a little. Will be important to update the XL Miner explanations because the software is currently more up to date than was shown. Additionally, even we get lot of practical exercises where you can identify robustness and types of models, for me is not still clear how to get a predictive model for my daily use. Expect to cover that on further lectures.

创建者 Eric Z

Apr 10, 2019

I really enjoyed this course, but I did struggle more than I should have with the software tools. In many cases, my version of the tool (the latest) did not match the instructor's version, and I worked to translate my version to his, and that's not a good use of my time. That said, the material was interesting, and the professor did a great job presenting it. I would recommend the course, but I would recommend that you learn to get the results not just in XL Miner, but in R or some other software, as well

创建者 Butterfly g

Apr 1, 2021

This course mainly aims at someone who knows about econometric regression and basics of ML algorithms. To me, I had little problem in understanding some concepts in ML as I didn't know all algorithms in detail. However, I put effort to read the basics of each algorithm and then watched the lectures. Thank you Professor Dan Zhang

创建者 Colin P

Oct 4, 2018

Very interesting course that covers a lot, which is good in that it gives exposure to different mining techniques, but bad in that I feel very far from mastering the techniques. Each mining technique could be its own course. Course could do a better job of explaining how to interpret the model outputs.