10:1 Excel Dataset for Data Analysts – From Beginner to Advanced (Full Webinar Replay + Practice Files)
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10:1 Excel Dataset for Data Analysts – From Beginner to Advanced (Full Webinar Replay + Practice Files)

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Did you miss the live training? Don’t worry. Do you want to Re-Learn & Revise?


We gave YOU FOR FREE, but TAKE this ACTION to keep it stocked to your brain for Life. 300 registered students on this Webinar course, but few ONLY can make the difference.


"You can now access the full replay of our intensive 4+ session Excel for Data Analytics Webinar that empowered hundreds of aspiring analysts".


This downloadable course bundle contains everything you need to go from Excel novice to data-driven pro — at your own pace!


What’s Included:

  • Full Replay Videos (Over 8 hours of content)
  • Downloadable Practice Datasets
  • Real-World Data Tasks & Exercises
  • Insights from a Top Data Analytics Coach
  • Certificate of Completion (on request)Paid)


What You'll Learn:

  • Master Excel fundamentals & navigation
  • Clean, analyze & transform data like a pro
  • Create dynamic PivotTables and Dashboards
  • Use formulas like VLOOKUP, INDEX/MATCH, IF Statements, SUMIFS, and more
  • Automate with basic Macros and Data Validation
  • Hands-on data projects and business case studies


Module 1: Power Pivot Overview

Subtopics:

  • Introduction to Power Pivot
  • Benefits for Data Modeling
  • Differences from Regular PivotTables


Module 2: Office Compatibility for Power Pivot

Subtopics:

  • Excel Versions That Support Power Pivot
  • Feature Availability by Version
  • Enabling Power Pivot in Excel


Module 3: Activating Power Pivot in Excel

Subtopics:

  • Locating Power Pivot in Excel
  • Steps to Enable the Add-In
  • Verifying Activation


Module 4: Introduction to Power Query

Subtopics:

  • Overview of Power Query
  • Use Cases in Data Analytics
  • Comparison with Manual Cleaning


Module 5: Connecting to a Data Source

Subtopics:

  • Supported Data Source Types
  • File, Database, and Web Connections
  • Best Practices for Importing Data


Module 6: Preparing a Query

Subtopics:

  • Loading and Previewing Data
  • Removing Unwanted Columns/Rows
  • Understanding Applied Steps


Module 7: Data Cleansing Techniques

Subtopics:

  • Removing Duplicates and Nulls
  • Standardizing Formats
  • Filtering and Sorting Data


Module 8: Enhancing Queries

Subtopics:

  • Adding Custom Columns
  • Merging and Appending Queries
  • Using Conditional Logic


Module 9: Creating a Data Model

Subtopics:

  • Loading Tables into Data Model
  • Structuring Tables for Analysis
  • Model Design Principles


Module 10: Building Data Relationships

Subtopics:

  • One-to-Many Relationships
  • Primary & Foreign Keys
  • Relationship View Navigation


Module 11: Creating Lookups with DAX

Subtopics:

  • Introduction to DAX
  • Using RELATED and LOOKUPVALUE
  • Practical Lookup Examples


Module 12: Data Analysis with Pivot Tables

Subtopics:

  • Summarizing Data with PivotTables
  • Applying Filters and Slicers
  • Calculated Fields and Items


Module 13: Data Analysis with Pivot Charts

Subtopics:

  • Creating Pivot Charts
  • Chart Types for Insights
  • Dynamic Visual Interactions


Module 14: Refreshing Source Data

Subtopics:

  • Manual vs. Automatic Refresh
  • Refresh All Options
  • Refresh Errors & Fixes


Module 15: Updating Existing Queries

Subtopics:

  • Editing Applied Steps
  • Replacing Data Sources
  • Saving Query Changes


Module 16: Creating New Reports

Subtopics:

  • Report Structure and Layout
  • Using Slicers, Timelines & KPIs
  • Exporting and Sharing Reports


Who This Is For?


  • Beginners with zero Excel background
  • Aspiring data analysts and tech switchers
  • Students preparing for internships or job interviews
  • Entrepreneurs and business owners tracking performance



One-time purchase. Lifetime access.

Once payment is confirmed, you’ll get instant access to download the full course materials.

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