The course will begin with what is familiar to many business managers and those who have taken the first two courses in this specialization. The first set of tools will explore data description, statistical inference, and regression. We will extend these concepts to other statistical methods used for prediction when the response variable is categorical such as win-don’t win an auction. In the next segment, students will learn about tools used for identifying important features in the dataset that can either reduce the complexity or help identify important features of the data or further help explain behavior.
Data Modeling and Regression Analysis in Business
伊利诺伊大学香槟分校課程信息
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中級
完成時間大約為25 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為25 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
提供方
伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
立即開始攻讀碩士學位
此 課程 隸屬於 伊利诺伊大学香槟分校 提供的 100% 在線 Master of Science in Accountancy (iMSA)。
如果您被錄取參加全部課程，您的課程將計入您的學位學習進程。
教學大綱 - 您將從這門課程中學到什麼
完成時間為 8 小時
Module 0: Get Ready & Module 1: Introduction to Analytics and Evolution of Statistical Inference
This session is an overview of the business data analytics process and its components. We introduce you to different modeling paradigms and invite you to match problems to modeling paradigms. The module concludes with an overview of Rattle (an interface for the statistical package R) and its use for univariate analysis.
完成時間為 8 小時
14 個視頻 （總計 93 分鐘）, 11 個閱讀材料, 3 個測驗
完成時間為 6 小時
Module 2: Dating with Data
This session focuses on identifying relationships between dependent and independent variables using a regression model. The goal is to find the best fitted model to the data to learn about the underlying relationship of variables in the population.
完成時間為 6 小時
8 個視頻 （總計 63 分鐘）, 3 個閱讀材料, 3 個測驗
完成時間為 6 小時
Module 3: Model Development and Testing with Holdout Data
This session introduces the student to use of a holdout data set for evaluating model performance. Methods of improving the model are discussed with emphasis on variable selection. Nuances of modeling discrete predictor variables and response variables are discussed.
完成時間為 6 小時
8 個視頻 （總計 66 分鐘）, 3 個閱讀材料, 4 個測驗
完成時間為 5 小時
Module 4: Curse of Dimensionality
There has been a tremendous increase in the way data generation via sensors, digital platforms, user-generated content, etc. are being used in the industry. For example, sensors continuously record data and store it for analysis at a later point. In the way data gets captured, there can be a lot of redundancy. With more variables, comes more trouble! There may be very little (or no) incremental information gained from these sources. This is the problem of a high number of unwanted dimensions. To avoid this pitfall, data transformation and dimension reduction comes to the rescue by examining and extracting fewer dimensions while ensuring that it conveys the full information concisely.
完成時間為 5 小時
7 個視頻 （總計 67 分鐘）, 3 個閱讀材料, 3 個測驗
審閱
來自DATA MODELING AND REGRESSION ANALYSIS IN BUSINESS的熱門評論
由 AS 提供2019年8月10日
The course was easy to understand and fun to practice at home which made it exciting and useful at the same time.
由 BC 提供2019年8月21日
this course is easier to understand the statistical modeling, no need to learn the deep algorithm
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