The main methods and algorithms for data analysis in web development and marketing are discussed, including decomposition methods, visualization, functional-cost analysis, econometric methods, and others. Algorithms for semantic text analysis, ranking of semantic priorities, and selection of key phrases are provided, as well as algorithms for assessing consumer loyalty, including the sentiment analysis algorithm, the analysis of Mobile First web interface quality, and others. Issues related to forecasting commercial demand, analyzing consumer trust in brands, reducing advertising costs, and comprehensive data analysis of company activities are examined. Publicly available tools are described, such as Yandex.Word selection, Yandex.Metrics, ExportBase, Yandex.Search, GlavRed, EditPlus, Anti-plagiarism, Google Sheets, MS Excel, and Google Mobile Test.
The electronic archive on the publisher's website contains color illustrations, examples of HTML documents, scripts, and additional pdf files.
