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所在平台: Udemy |
课程主页: https://www.udemy.com/course/big-data-business-intelligence/
课程评论：没有评论
课程名称：大数据与商业智能 课程概述：此课程分为四个模块，旨在帮助参与者掌握商业智能项目的实施能力。 第一模块聚焦于准备参与者在自身企业开展商业智能项目。课程的核心是通过实践掌握数据收集和清洗的方法。完成课程后，参与者将能够创建自己的数据库或管理数据库的创建，课程特别关注包含数万到数百万条观察结果的“大数据”数据集。尽管所用工具也适用于几百个数据点的小型数据集，但重点在于处理更大的数据集。该课程非常适合Salesforce、Tableau、Oracle、IBM等商业智能软件的用户，帮助他们理解商业智能实践的底层机制。 第二模块将帮助参与者开始在自身企业开展商业智能项目，重点是数据的结构化处理，特别是基于比较和相对指标生成新变量。参与者将在Excel、SAS和Stata中进行变量结构化，以增进对不同软件包结构的熟悉程度。尽管课程主要关注金融数据，但所学技术同样适用于市场营销或管理分析等更一般的数据形式。 第三模块将准备参与者开展数据库的数据分析。该模块涵盖单变量和多变量分析，特别强调回归分析，参与者将在Excel、SAS和Stata中进行实践，以熟悉不同软件包的结构。重点仍然是金融数据，但这些技术也适用于更广泛的数据分析。 第四个模块将帮助参与者审查、分析并根据商业智能项目的结果做出决策。课程将覆盖回归分析的阅读和解读，还将教授参与者批判性分析和识别分析潜在局限性的技能。此外，课程还将探讨基于分析预测商业成果变化的方法，并识别这些预测的确定性或可信度。这为未来深入的预测分析课程打下了基础。
This course is broken up into four modules.The first module will prepare participants to begin business intelligence projects at their own firm. The focus of the course is a hands-on approach to gathering and cleaning data. After taking this course, participants will be ready to create their own databases or oversee the creation of databases for their firm. The focus in this course is on "Big Data" datasets containing anywhere from tens of thousands to millions of observations. While the tools used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets. The course also helps participants with no experience in building datasets to start from scratch. Finally, the course is excellent for users of Salesforce, Tableau, Oracle, IBM, and other BI software packages since it helps viewers see through the "black box" to the underlying mechanics of Business Intelligence practices.The second module will prepare participants to begin business intelligence projects at their own firm. The focus of the course is a hands-on approach to structuring data including generating new variables based on comparative and relative metrics. The structuring of these variables will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures. The focus in this course will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses.The third module will prepare participants to begin running data analysis on databases. Both univariate and multivariate analysis will be covered with a particular focus on regression analysis. Regression analysis will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures. The focus in this course will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses.The fourth and final module will prepare participants to review, analyze, and make decisions based on results from business intelligence projects. The course will cover reading and interpreting regression analysis. The course will also give participants the skills to critically analyze and identify potential limitations on analysis. The course will also cover predicting changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions. This paves the way for future detailed courses in predictive analytics.
