Data Analysis for Business Decisions (eBook)

This manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets.
The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization.
These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.

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Master data analysis for business decisions with practical case studies. Learn statistical methods, data visualization, and advanced analytics techniques with step-by-step guidance.Key FeaturesPractical case studies for hands-on learning.Detailed guidance on using Excel's Analysis ToolPak.Comprehensive coverage of statistical and analytical techniques.Book DescriptionThis manual is for business analysts to enhance their statistical analysis skills, with case studies focusing mainly on Excel. It covers basic descriptive techniques, linear regression, forecasting, t-Test, chi-square, A/B testing, text data analysis, and Big Data management. Companion files include solution spreadsheets, sample files, and data sets. The course starts with data shaping and cleaning, installing the Analysis ToolPak, and descriptive statistics. It progresses through histograms, scatter plots, Pareto analysis, correlation, linear and multivariate regression, and forecasting. Advanced topics include inferential statistics, contingency analysis, and A/B testing. The final chapters cover text analytics, big data sets, and data visualization. These techniques are crucial for informed business decisions. This book guides users from basic to advanced analysis, blending theory with practical skills. Companion files enhance learning, making this manual essential for mastering statistical analysis in business.What you will learnClean and shape data sets effectively.Install and utilize the Analysis ToolPak in Excel.Apply descriptive and inferential statistical methods.Create and interpret visual data representations.Perform advanced regression and forecasting analyses.Conduct A/B testing and text analytics.Who this book is forIdeal for business professionals, data analysts, and students aiming to enhance their data analysis skills. Basic knowledge of statistics and familiarity with Excel are recommended.]]>