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MIM1020 – Advanced Data Analytics with Power Query & Power Pivot (1 Day | Virtual)

Description

MIM1020 – Advanced Data Analytics with Power Query & Power Pivot (1 Day | Virtual)

Overview

In today’s data-driven environment, the ability to analyse and interpret large datasets efficiently is essential for informed and timely decision-making. Microsoft Excel remains one of the most powerful and widely used data analytics tools—especially when enhanced with advanced capabilities such as Power Query and Power Pivot.

This intensive one-day virtual program is designed to help participants streamline their data workflows by connecting to multiple data sources, transforming and cleaning data efficiently, and building robust data models for deeper analysis. Participants will gain hands-on experience using Power Query for data preparation and Power Pivot for advanced calculations and data modelling, enabling them to generate accurate insights and reports with greater speed and confidence.

  • 91% positive reviews (182)
  • 1209 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

By the end of this program, participants will be able to:

  • Connect to data from multiple sources including Excel files, CSV files, web sources, and databases
  • Clean, transform, and prepare data efficiently using Power Query
  • Merge, append, and shape multiple datasets for analysis readiness
  • Understand and manage table relationships for effective data modelling
  • Apply Power Pivot and DAX to create calculated columns and measures
  • Enhance data analysis using PivotTables, slicers, and advanced filtering techniques

1 Day

  • Data Analysts
  • Business Analysts
  • Finance, Operations, and Reporting Professionals
  • Excel users working with large or complex datasets
  • Professionals seeking advanced Excel data analytics skills

Modules:

Module 1: Introduction to Power Query
  • Overview and purpose of Power Query 
  • Benefits of using Power Query in data analytics 
  • Navigating the Power Query Editor 
  • Understanding the interface and key components 
  • Importing data from multiple sources (Excel, CSV, web, databases) 
  • Basic data transformations (renaming columns, removing columns, filtering rows) 
  • Advanced data transformation methods
  • Sorting and filtering data
  • Grouping and summarising data
  • Pivoting and unpivoting columns
  • Data cleaning techniques
  • Handling missing data
  • Splitting and merging columns
  • Removing duplicates
  • Appending queries
  • Merging queries
  • Working with multiple data sources
  • Preparing data for analysis and modelling
  • What is Power Pivot and why it matters
  • Setting up Power Pivot
  • Loading and managing data in Power Pivot
  • Creating and managing table relationships
  • Understanding one-to-one, one-to-many, and many-to-many relationships
  • Introduction to Data Analysis Expressions (DAX)
  • Creating calculated columns
  • Creating calculated measures
  • Applying DAX for common business calculations
  • Creating PivotTables using Power Pivot data models
  • Grouping data (dates, numbers, text)
  • Creating calculated fields and items
  • Applying filters effectively
  • Using slicers and timelines for interactive analysis
  • Applying advanced filters for deeper insights

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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