Surgent's Data Analytics Readiness Series: Advanced Formulas - Array Formulas and DAX Formulas
Valid for one year from purchase date
Self-study - On-Demand
1 CPE (1 technical)
Course code: 25SS-0123
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from sales tax, call us at 952-831-2707 to complete your purchase.
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This one-hour data analytics course will introduce formula arrays and DAX formulas to users in Power BI and Excel. Users will learn the skills to create and evaluate array formulas and DAX formulas. An understanding of implicit or explicit intersections and measures within the formulas will be developed. Users will apply the understanding to data and work alongside the instructor to create calculated columns in Power Pivot using DAX formulas and array formulas.
This course is one in a ten-part certification series, Core Data Analytics: Excel and Power BI Skills for Accounting and Finance Professionals, by Surgent IQ.
Major subjects
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Key to understanding array formulas is Implicit Intersection
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How to enter and evaluate an array formula
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Examples - array and DAX formulas: Array formulas- Implicit Intersection
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Understanding DAX formulas:-Calculated columns and measures-Evaluation context-Context transition-Implicit vs explicit measures
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Examples - DAX formulas: Creating a calculated column in Power Pivot
Learning objectives
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Understand the applicable Excel skills that will be required in making the transition to data analyst
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Understand the basic requirements to create array and DAX formulas using Power BI and Excel
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Understand how DAX formulas relate to calculated columns and how they can be created within calculated columns
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Apply understanding of DAX formulas to create calculated columns using Power Pivot
Who should take this program?
- Accountants who want to transition to data analysis and have a basic knowledge of Excel and Excel formulas
Pricing
|
Standard Member Fee |
$59.00
|
 Standard Nonmember Fee |
$59.00
|
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If you register, you will be charged
$59.00
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If your organization is exempt
from sales tax, call us at 952-831-2707 to complete your purchase.
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Area
of study
Information technology
Field(s)
of study
Information Technology - Technical (1.0)
Level
Intermediate
Format
Self-study - On-Demand
Sponsor
NASBA ID#: 103212
Prerequisites
Prereq.
2+ years of experience working with Excel
Advance
prep
Install Power Pivot and Data Analysis ToolPak
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