國(guó)外小組科研—商業(yè)分析課題：大數(shù)據(jù)統(tǒng)計(jì)與建模在流程優(yōu)化及戰(zhàn)略評(píng)估中的應(yīng)用研究

開始日期：

2023年11月4日

專業(yè)方向：

金融商科

導(dǎo)師：

Arnab（約翰霍普金斯大學(xué) Johns Hopkins University (JHU) 教授）

課程周期：

7周在線小組科研學(xué)習(xí)+5周不限時(shí)論文指導(dǎo)學(xué)習(xí)

語(yǔ)言：

英文

建議學(xué)生年級(jí)：

大學(xué)生 高中生

項(xiàng)目產(chǎn)出：

7周在線小組科研學(xué)習(xí)+5周不限時(shí)論文指導(dǎo)學(xué)習(xí) 共125課時(shí) 項(xiàng)目報(bào)告 優(yōu)秀學(xué)員獲主導(dǎo)師Reference Letter EI/CPCI/Scopus/ProQuest/Crossref/EBSCO或同等級(jí)別索引國(guó)際會(huì)議全文投遞與發(fā)表指導(dǎo)（可用于申請(qǐng)） 結(jié)業(yè)證書 成績(jī)單

項(xiàng)目產(chǎn)出：

商業(yè)分析和數(shù)據(jù)建模是商業(yè)和工業(yè)中有效的管理決策的重要技能。通過對(duì)企業(yè)的銷售、利潤(rùn)和其他關(guān)鍵指標(biāo)的趨勢(shì)建模，可以對(duì)這些指標(biāo)的未來進(jìn)行有效的科學(xué)預(yù)測(cè)。通過數(shù)據(jù)分析和建模了解可能發(fā)生的季節(jié)性、年度或任何規(guī)模的變化，可以讓企業(yè)經(jīng)營(yíng)有備無患。該項(xiàng)目?jī)?nèi)容為商業(yè)分析核心知識(shí)與技能，包括統(tǒng)計(jì)分析、概率分布、決策分析、抽樣分布、置信區(qū)間、假設(shè)檢驗(yàn)、回歸模型等。其中，概率模型側(cè)重不確定性和風(fēng)險(xiǎn)處理；統(tǒng)計(jì)分析側(cè)重?cái)?shù)據(jù)呈現(xiàn)以及如何通過數(shù)據(jù)獲取有用信息和有效推論；優(yōu)化模型和決策分析側(cè)重運(yùn)用數(shù)據(jù)進(jìn)行決策。學(xué)生將在項(xiàng)目中運(yùn)用Excel或Mintab進(jìn)行商業(yè)數(shù)據(jù)分析，在項(xiàng)目結(jié)束時(shí)提交報(bào)告，進(jìn)行成果展示。 Business Analytics and modeling are important skills for effective managerial decision-making in business and industry. Advances in technology (computers, scanners, cell phones) have made a significant amount of data available to managers. Furthermore, business analytics provides a way for businesses to plan for the future. By modeling the trends in a businesses' sales, profits, and other key metrics, these indicators can be projected into the future. Understanding the changes that are likely to occur seasonally, annually, or on any scale allows businesses to better prepare. The techniques learned in this program will help students infer data and as such make better-informed decisions. The program covers statistical analysis, probability distributions, sampling distributions, confidence intervals, hypothesis testing, and regression models. Probability models provide tools to handle uncertainty and risk. The statistical analysis focuses on the presentation of data and techniques to draw useful and valid inferences from data.