Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot

Niveau
Tijdsduur
Startdatum en plaats
Logo van @The Academy
Opleiderscore: starstarstarstarstar_border 8,1 @The Academy heeft een gemiddelde beoordeling van 8,1 (uit 161 ervaringen)

Tip: meer info over het programma, startdatum, prijs, en inschrijven? Download de brochure!

Startdata en plaatsen

Eindhoven
7 mei. 2019 tot 9 mei. 2019
Eindhoven
25 jun. 2019 tot 27 jun. 2019

Beschrijving

<div class="domino-par--indent" style="padding-left: 0pt"><font size="2" face="Verdana"><b>Course Description</b></font><br /> <font size="2" face="Verdana">This three-day course will introduce the students to the concepts of data mining, machine learning and predictive analytics utilizing the Microsoft toolsets including SQL Server Analysis Services and Excel with PowerPivot and the Data Mining Add-ins.</font><br /> <br /> <font size="2" face="Verdana"><b>At Course Completion</b></font><br /> <font size="2" face="Verdana">After completing this course, students will be able to: </font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Have a firm understanding o…

Lees de volledige beschrijving

Veelgestelde vragen

Heb je een vraag? Onze adviseurs helpen je graag. Bel ons op 085 7440830 of e-mail naar info@springest.nl.

<div class="domino-par--indent" style="padding-left: 0pt"><font size="2" face="Verdana"><b>Course Description</b></font><br /> <font size="2" face="Verdana">This three-day course will introduce the students to the concepts of data mining, machine learning and predictive analytics utilizing the Microsoft toolsets including SQL Server Analysis Services and Excel with PowerPivot and the Data Mining Add-ins.</font><br /> <br /> <font size="2" face="Verdana"><b>At Course Completion</b></font><br /> <font size="2" face="Verdana">After completing this course, students will be able to: </font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Have a firm understanding of the concept of data mining. </font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Explore the user interface.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use offline mode and immediate mode.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create and configure a data source.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create and configure data view.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Explore data.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create and configure named calculation.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create and configure named queries.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Walk-through a project to completion.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Explore the models.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Compare mining structures.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use cross validation.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create reports using Reporting Services.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Save queries.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Save results to the database.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Create multiple nested tables off of a case table.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Microsoft Association Rules Algorithm.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Microsoft Sequence Clustering Algorithm.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Microsoft Time Series Algorithm.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Microsoft Neural Network Algorithm.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Properly prepare data for mining.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Model Usage—Browse.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Model Usage—Query.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Accuracy and Validation.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Decision Trees.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Logistic Regression.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Nave Bayes.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Neural Network.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Estimate Tool.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Cluster.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Associate Tool.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Forecast Tool.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Table Analysis Tools.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Use Visio Add-In.</font><br /> <font size="2" face="Verdana">· </font><font size="2" face="Verdana">Complete five different business scenarios that further reinforce the concepts learned.</font></div>

Efficient, kostenbewust, innovatief, met hoogste slagingspercentage opleiden bij @The Academy! 

Blijf op de hoogte van nieuwe ervaringen

Er zijn nog geen ervaringen.

Deel je ervaring

Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.

Heb je een vraag? Onze adviseurs helpen je graag. Bel ons op 085 7440830 of e-mail naar info@springest.nl.

Download gratis en vrijblijvend de informatiebrochure

Aanhef
(optioneel)
(optioneel)
(optioneel)
(optioneel)
infoEr is een telefoonnummer vereist om deze informatieaanvraag in behandeling te nemen. (optioneel)
(optioneel)
(optioneel)
(optioneel)

Heeft u nog vragen?

(optioneel)
We slaan je gegevens op om je via e-mail en evt. telefoon verder te helpen.
Meer info vind je in ons privacybeleid.