We have responded immediately to the threat of COVID and worked to ensure a quality experience for our students.
We have already rescheduled several courses and we will continue to do so as required by the situation. We have decided to waive our cancellation fee and we are enabling people to delay their training if they wish to. We are working closely with our students to ensure their financial, health and career interests are protected throughout the duration of this phenomenon. We are very touched by the support we have received and look forward to further cooperating with our students to keep resolving things the best way we can!
Please reach out to us at firstname.lastname@example.org to discuss your situation and your options!
DAX is the native language of Power Pivot for Excel, Power BI Desktop and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Power Pivot for Excel, Power BI Desktop and at Analysis Services developers that want to learn and master the DAX language.
The goal of this three-day, classroom course is for the expert trainer to teach all the features of the DAX language, providing the knowledge to write formulas for common and advanced business scenarios. All the attendees will receive a copy of the book The Definitive Guide to DAX.
The classroom course includes hands-on labs: you will apply the concepts using your own notebook.
Attendees need basic knowledge of Power BI Desktop, or Analysis Services Tabular, or Power Pivot for Excel.
We strongly suggest attendees watch the free Introducing DAX video course prior to attending the Mastering DAX classroom course. This ensures proper basic knowledge of the language to start Mastering DAX. A minimum of 3-6 months of DAX experience is usually suggested to get the most out of the Mastering DAX classroom course.
All hands-on labs are based on Power BI - reasonable user interface knowledge is suggested, though the same DAX concepts can also be applied to Power Pivot for Excel and to Analysis Services Tabular.
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