free download analytic solver platform in excel

#Free download analytic solver platform in excel upgrade
#Free download analytic solver platform in excel series

In the first section, we bridge accountancy to analytics. We’ve divided the course into three main sections. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions.

#Free download analytic solver platform in excel upgrade

Upgrade to Analytic Solver Platform for the most powerful combination of data mining and forecasting with simulation/risk analysis and optimization available at any price.Accounting has always been about analytical thinking.

#Free download analytic solver platform in excel series

Over 30 example datasets give you practice with a range of prediction, classification, time series forecasting, and affinity analysis problems.Īccess extensive online Help, or review our 400+ page XLMiner User Guide to get your questions answered. Use a Ribbon interface, with Wizard-style dialogs to guide you through model and option selections. Use market basket analyses and recommender systems with association rules. Use classical discriminant analysis and logistic regression, and data mining methods like k-nearest neighbors, naive Bayes, and ensembles of classification trees and neural networks. Use powerful multiple linear regression with variable selection, and data mining methods like k-nearest neighbors, and ensembles of regression trees and neural networks. Use principal components to reduce columns, and k-means clustering or hierarchical clustering to group data by rows.Įasily partition your data into training, validation, and test datasets, with no limits on dataset size - even 'on the fly' as you build a predictive model.Īpply the most popular exponential smoothing and Box-Jenkins ( ARIMA) methods with seasonality to forecast time series, such as sales and inventory, from historical data. Use feature selection to automatically identify columns or variables with the greatest explanatory power for your desired classification or prediction task. Ĭlean and transform your data with a comprehensive set of data handling utilities including categorizing data and handling missing values. Use visualization aids from simple bar, line and histogram charts to multiple linked charts, instant axis changes, colors, panels, zooming, brushing and more.Īutomatically transform free-form text into structured data, identifying most frequent terms and extracting key concepts with latent semantic indexing. Sample data from spreadsheets, text files and SQL databases, including Microsoft's PowerPivot in-memory database handling 100 million rows or more. Advanced Data Mining and Text Mining, the Ease of Excel, and Competitive Pricing Analytic Solver Data Mining - 'XLMiner's Big Brother' - Includes Everything You Need to Apply Predictive Analytics to Your Data