Data Analysis Using Power Pivot

Jai Malhotra 
Instructor: Jai Malhotra 
Date: Thursday June 11, 2026
Time:

10:00 AM PDT | 01:00 PM EDT

Duration: 90 Minutes
Webinar Id: 26752

Price Details

Live Webinar
$150. One Attendee
$290. Unlimited Attendees
Recorded Webinar
$190. One Attendee
$390. Unlimited Attendees
Combo Offers   (Live + Recorded)
$289 $340   One Attendee
$599 $680   Unlimited Attendees

Unlimited Attendees: Any number of participants

Recorded Version: Unlimited viewing for 6 months (Access information will be emailed 24 hours after the completion of live webinar)

Overview:

Power Pivot is Excel's data modeling engine for handling large datasets, creating relationships, and writing DAX measures for advanced analysis.

Why you should Attend:

  • Struggling with huge files and slow formulas? Power Pivot is built for scale
  • Combine multiple tables and create relationships like a mini-database inside Excel
  • Build reusable KPIs and measures instead of repeating formulas on every sheet
  • Learn the foundation of DAX needed for Power BI and modern analytics roles
  • Create faster, cleaner dashboards and PivotTables powered by a data model

Areas Covered in the Session:

  • Data Model basics
  • Relationships
  • Star schema concepts
  • Measures vs calculated columns
  • DAX introduction
  • Power Pivot-enabled PivotTables

Who Will Benefit:

  • Analysts Handling large datasets 
  • Finance Teams Building KPIs
  • MIS/Reporting Professionals 
  • Excel users Transitioning to Power BI

Speaker Profile
Jai Malhotra is Microsoft Certified Professional who has 11 years of rich training experience as Corporate Trainer. The Instructor has conducted more than 900 training sessions of Corporate Sessions and upskilled work forces in the domain of Microsoft Excel, Power BI, SQL, Power Point, ChatGPT and Copilot. He got opportunity to serve Companies like Deloitte, NTT Data, Hafel, Virtusa, SBI Cards, Tata AIG, Maruti Suzuki, Max Life Insurance, Volvo Eicher, XL-Catlin, L&T, M3M, WSP, Panasonic, PwC, Paisa Bazaar etc.

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