Microsoft Access used in conjunction with Excel may be sufficient. For larger more complex needs, advanced analytical software such as SAS may be more appropriate, especially if there will be a need to develop predictive models or perform data mining analytics. Data Consolidation Steps (Continued...
Data Analytics Community For those who want to excel in data analytics and succeed in this insight-driven era. SubscribeFind out more Internal Audit Community Supports for those working in internal audit and users of the internal audit function. ...
Introduction to SAS Office AnalyticsCurrently loaded videos are 1 through 5 of 5 total videos. 1-5 of 5 First page loaded, no previous page available Last page loaded, no next page available Sort By: Most Recent 8:08 Work with a Connection Profile 10:10 Get Started Using the SAS Add...
In short, knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines.Many of the problems rely on using a computer. Microsoft's Excel is most often used, as this is common in ...
Introduction to Excel Dashboards - Discover the basics of Excel dashboards, their importance, and how they can enhance data visualization and reporting for better decision-making.
When you create custom data feeds, you can transform your data using Excel-like formulas and functions, unpivot, merge/join, and more. The abundance of editing options and the versatility and power of the formula bar make the data feed editor an effective tool for organizing large data sets ...
Time Series analysis using pandas Pandas was created to analyze time series data. In order to illustrate how easy it is, I prepared sample dataset with Apple stock prices (5 year period). You can download ithere. >>>importpandasaspd>>>df = pd.read_csv('apple.csv', index_col='Date',...
This book is all about how to build a data lake that brings raw (as well as processed) data to a large user community of business analysts rather than just using it for IT-driven projects.The reason to make raw data available to analysts is so they can perform self-service analytics. ...
UsersUsers assemble simple solutions by using the basic capabilities of SharePoint products and Office products. Examples include: Creating an external list, different views of the list, and adding various filters and sorts. Exporting the external list to Excel 2013 for further data analysis. ...
This tool also helps in predictive data modeling. It provides a collaborative environment. Business executives like using Microsoft Excel and other Office tools. This feature enables business users to access SAS BI and Analytics and create reports using Microsoft Office tools. They can also distribute...