Microsoft Excel: Power Query Mastering Microsoft Excel Power Query for Faster, Smarter, Automated Reporting

20-21 Nov, 2025, CONCORDE HOTEL KUALA LUMPUR

IPA Training is Registered with

Learn from the Best

Morgan holds a Degree in IT & Tech Management from UTM, he has 20 years working experience as a trainer in the field of Information Technology. He has obtained ITIL Certification and also PSMB approved trainer (TTT). He has conducted various trainings. His key expertise are:

  • Conducting IT Training in the area of Basic Networking, PC Repairing, PC Troubleshooting & Microsoft Office Training
  • Conducting research on the latest development and requirement for training based on customer request Developing & Maintaining a sound marketing strategy
  •  Ensure KPI and Customer Satisfaction are meet

 

As a qualified professional educator, he has personally designed and delivered many specialized training courses including the validation and management of over 10 other trainers, operating nationwide in Malaysia.
As a qualified professional educator, he has personally designed and delivered many specialized training courses including the validation and management of over 10 other trainers, operating nationwide in Malaysia. He's also a well sought after consultant and works on several key IT projects each year, with leading brands in the region.

 

Venue Details

CONCORDE HOTEL KUALA LUMPUR
2 Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia,
Phone : 03 2144 2200

https://kualalumpur.concorde hotelsresorts.com/

Contact us

Juliany,
03 2283 6109
juliany@ipa.com.my

Phoebe,
03 2283 6100
phoebe@ipa.com.my 

FOR CUSTOMISED IN-HOUSE TRAINING
Jane,
03 2283 6101
Jane@ipa.com.my

ADDRESS 
A-28-5, 28th Floor, Menara UOA Bangsar, 
No.5, Jalan Bangsar Utama 1, 
59000 Kuala Lumpur
www.ipa.com.my

FOCUSING ON
  • Introduction to Power Query
  • Appending Data from Multiple Sources / Formats
  • Merging Tables / Data Source
  • Transforming Data
  • Cleansing Your Data Source
  • Power Query Formulas
  • Automating Data Transformations
OBJECTIVES

This course is designed to equip participants with comprehensive knowledge and practical skills in Power Query to manage, transform, and automate data preparation tasks. By the end of the course, participants will be able to:

1. Understand the core functionality of Power Query
and its application in Data Management.
2. Import data from various sources such as Excel,
text files, databases, and web sources.
3. Transform data through filtering, sorting, grouping, and pivoting.
4. Clean and shape data by removing duplicates, splitting and merging columns, and addressing errors.
5. Combine data from multiple sources using merging and appending techniques without relying on
complex formulas like VLOOKUP or INDEX-MATCH.
6. Automate repetitive data transformations and manage queries efficiently.
7. Perform calculations to aggregate data and prepare
it for advanced analysis.

AFTER ATTENDING THIS COURSE YOU WILL RETURN TO YOUR JOB…
  1. Understanding Power Query: Learning the fundamentals of Power Query and how it
    integrates with Excel and other tools for efficient
    data preparation.
  2. Importing Data: Mastering importing data from
    a wide range of sources, including external
    databases, text files, web-based data, and more.
  3. Transforming Data: Applying transformations such
    as sorting, filtering, grouping, and pivoting to prepare data for analysis.
  4. Cleaning and Shaping Data: Resolving data inconsistencies by removing duplicates, splitting
    and merging columns, handling errors, and
    formatting data.
  5. Combining Data: Merging and appending data from multiple sources seamlessly, eliminating the need
    for complex formulas.
  6. Automating Reports: Creating automated
    workflows for repetitive data preparation tasks
    using Power Query’s query management tools.
  7. Aggregation and Calculation: Performing
    advanced calculations to summarize and
    aggregate data efficiently.
  8. Gaining proficiency in using Power Query for importing, cleaning, and transforming data.
  9. Being capable of automating data workflows to save time and improve consistency.
  10. Developing skills to merge and combine data
    from multiple sources without relying on complex formulas.
  11. Understanding how to prepare data for deeper analysis by aggregating and transforming data as needed.
WHO SHOULD ATTEND

This course is ideal for professionals who frequently work with data and want to streamline their data preparation and transformation tasks. It is particularly beneficial for:

• Professionals looking to clean, transform, and
analyze data efficiently for better decision-making.
• Those managing large datasets and preparing complex financial reports or dashboards.
• Individuals responsible for integrating data from multiple sources and ensuring data quality.
• Professionals overseeing data-driven projects and requiring skills to handle data preparation.
• Experts aiming to simplify data extraction and preparation for downstream processes.
• Individuals using data for campaign analysis,
customer segmentation, or performance reporting.
• Those preparing and analyzing workforce data, such as payroll, attendance, or performance metrics.
• Individuals in research or academic roles requiring advanced data cleaning and manipulation techniques.
• Professionals seeking to manage business data efficiently without heavy reliance on external tools or consultants.
• Professionals looking to enhance their productivity and reduce manual effort by automating
data workflows.

METHODOLOGY
Instructor-Led Training with classroom-style training led by an experienced instructor who guides participants through structured lessons, demonstrations, and hands-on exercises.
DAY 1
9:00

INTRODUCTION TO POWER QUERY

  • Overview of Power Query functionality and benefits.
  • Navigating the Power Query interface.
  • Key concepts: Queries, connectors, and transformations.
  • Automizing Excel reports 100%

10.45

APPENDING DATA FROM MULTIPLE SOURCES
/ FORMATS

  • Understanding appending vs. merging data.
  • Combining datasets from different formats
    - Excel files
    - Text files (*.txt)
    - Comma Separated Values (*.csv)
    - From Web Page
  • Handling inconsistent formats during appending.
  • Appending report with multiple Excel sheet
  • Appending report with Multiple Excel Files with Multiple Sheets
  • Appending report with multiple Excel files
  • Appending report with multiple file formats

1:00 Lunch
2:00

MERGING TABLES / DATA SOURCE

  • Using merge functions to combine data tables.
  • Eliminating the need for lookup functions (e.g., VLOOKUP, INDEX-MATCH).
  • Strategies for handling unmatched data.
  • Advanced formula usage for dynamic transformations.
3:45

TRANSFORMING DATA

  • Sorting, filtering, and grouping data.
  • Pivoting and unpivoting datasets.
  • Reshaping data for analysis.
  • Using Conditional Column for:
    - IF formula
    - Nested IF
    - Approximate match for Lookup
  • Handling null value
5:00 End of Day 1
DAY 2
9:00

CLEANSING YOUR DATA SOURCE

  • Identifying and resolving errors in datasets.
  • Removing duplicates and blank rows.
  • Splitting and merging columns for clean
    data formats.
  • Addressing inconsistencies and
    standardizing data.
  • Using Conditional Column for cleansing
10.45

POWER QUERY FORMULAS

  • Writing Power Query formulas
  • Common formulas for text manipulation, conditional transformations, and calculations
1:00 Lunch
2:00

AUTOMATING DATA TRANSFORMATIONS

  • Creating and managing reusable queries.
  • Implementing automated data workflows.
  • Troubleshooting and optimizing query performance.
5:00 End of Course