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Data Analytics with Power Query & Power Pivot Training Course Singapore

Home » Data Analytics with Power Query & Power Pivot Training Course Singapore
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Data Analytics with Power Query & Power Pivot Training Course in Singapore

Learn Data Analytics with Power Query & Power Pivot Training Course in Singapore

In this Power Query Course, you’ll learn how to import data from multiple files and sources, combine and transform datasets, merge queries, and unlock a wide range of powerful data preparation techniques.

UTAP

NTUC members

SkillsFuture Eligible

Course Start Date

  • 30/03/2026 | 09:30 to 17:30
    Week Days
    Book now
  • Schedule

    • Days: 2 Days
    • Duration: 14 Hours
    • Timings: 9:30 AM - 5:30 PM
    • 10 Anson Road, 26-08A International Plaza, Singapore 079903

    Why Choose Us

    • Expert Local Trainers
    • Hands-on Training by experts
    • Certificate of Achievement

    SSG Course Details

    • TGS-2023018267
    • Mode of Training - Physical, in-class training
    • Course Subsidy Validity - Until 31-12-2024
    • Register Now

    Who should take up the Power Query & Power Pivot training?

    This course is designed for experienced Excel users who want to enhance their data analysis skills by leveraging the advanced features of Power Query and Power Pivot.

    Business professionals

    Business professionals

    Analyst

    Analyst

    Entrepreneur

    Entrepreneur

    Training Professionals

    Training Professionals

    Student

    Student

    Course Completion Requirements

    Minimum 75% attendance is required in order to complete the course and receive the course completion certificate

    Above 16 years old

    Above 16 years old

    High School Level English

    High School Level English

    Basic internet & computer operation skills

    Basic internet & computer operation skills

    Data Analytics with Power Query & Power Pivot Training

    Data Analytics with Power Query & Power Pivot Training Course

    We are now living in a time of big data, where information is being collected from more and more granular transactions resulting in a great deal of data that can be difficult to manage without the proper tools and skills.

    Excel’s Power Query and Power Pivot functionality are strong solutions that allow you to organize, transform and analyze data in large datasets with ease. However, a tool is only useful as the person using it. This is why it is so important to get a complete understanding of Power Query and Power Pivot in order to take full advantage of these tools and thus elevate your level of professional data analysis.

    What will you learn in the Data Analytics Course using Power Query & PowerPivot?

    By the end of this course, you will be able to confidently use Power Query and Power Pivot in Excel 2016 to analyze data from multiple sources.

    You will be able to:

    • Get started with the Power Query and Power Pivot tools
    • Visualize and interpret data effectively
    • Apply advanced features to perform deeper data analysis
    Power Query and Power Pivot tools Training in Singapore
    Data analytics Power Query & Power Pivot training course

    Who should take up the Power Query & Power Pivot training?

    This course is designed for proficient Excel users who want to take their data analysis skills to the next level by learning how to use Power Query and Power Pivot effectively.

    Prerequisites:

    To succeed in this course, you should have prior experience using Excel 2016 and be familiar with PivotTables. A solid understanding of spreadsheet concepts and confidence in creating and analyzing basic PivotTables are recommended.

    Quick test

    Unsure if this course is suitable for you? Take this Quick test to help you decide.

    Get Started

    Grants available

    UTAP

    Union Training Assistance Programme

    UTAP: Update info about UTAP funding on all pages.

    SkillsFuture Eligible


    SkillsFuture Credit : Singaporeans can use $500 SkillsFuture Credits for this training to offset the course fees

    Data Analytics with Power Query & Power Pivot Training Course Outline

    Lesson 1: Analyzing Data with Self-Service BI

    Topic A: Data Analysis and Visualization for Business Intelligence

    Topic B: Self-Service BI with Microsoft Power BI

     

    Lesson 2: Connecting to Data

    Topic A: Create Data Connections

    Topic B: Model Data with Relationships

    Topic C: Save Power BI Files

     

    Lesson 3: Performing Advanced Data Modeling and Shaping

    Topic A: Clean and Transform Data with the Query Editor

    Topic B: Shape Data with the Query Editor

    Topic C: Combine and Manage Data Rows

     

    Lesson 4: Visualizing Data with Power BI

    Topic A: Create Visualizations in Power BI

    Topic B: Chart Data in Power BI

    Lesson 5: Enhancing Data Analysis

    Topic A: Enhance Analysis with Customized Visuals and Pages

    Topic B: Enhance Analysis with Tooltips

     

    Lesson 6: Modeling Data with Calculations

    Topic A: Create Calculations with Data Analysis Expressions (DAX)

    Topic B: Create Calculated Measures and Conditional Columns

     

    Lesson 7: Creating Interactive Visualizations

    Topic A: Create and Manage Data Hierarchies

    Topic B: Filter and Slice Reports

    Topic C: Create Dashboards in Power BI

    FAQ’s For Data Analytics with Power Query & Power Pivot Training

    What does this course cover?

    It teaches practical skills to import, transform, and consolidate data from multiple sources using Power Query, and to build relational data models and perform advanced analysis using Power Pivot

    Who is this course for?

    Designed for experienced Excel users who are comfortable with PivotTables and basic spreadsheet functions, and who want to enhance their analytical capabilities using Power Query and Power Pivot

    What are the course prerequisites?

    You should have intermediate Excel 2013 or later skills, a good understanding of PivotTables and spreadsheet concepts, and access to Excel with Power Query and Power Pivot enabled.

    What are the Course Completion requirements?

    Minimum 75% attendance is required in order to complete the course and receive the course completion certificate.

    Do I need programming knowledge to attend this course?

    No programming knowledge is required. The course focuses on user-friendly, drag-and-drop tools in Power Query and Power Pivot within Excel, making it accessible even for non-technical users.

    Reviews of Our Students

    D
    Daniel Tan 2 weeks ago
    ★★★★★

    I took an Excel course at Training Singapore, and it was extremely beneficial. The trainer explained everything from basic to advanced features like VLOOKUP, Pivot Tables, and Macros in a simple and easy-to-understand way.

    G
    A
    Amanda Lim 1 month ago
    ★★★★★

    The course fees at Training Singapore were fully covered by SkillsFuture Credit. This is a great opportunity if you are a Singapore resident looking to enhance your skills.

    G
    R
    Ryan Ng 2 months ago
    ★★★★★

    The course material was well-organized, covering key areas such as Excel interface, data entry, formulas, and reporting. It made learning structured and effective.

    G
    S
    Stephanie Wong 3 months ago
    ★★★★★

    The trainers were not only highly skilled in their subjects but also provided personalized assistance, making complex concepts easy to understand.

    G
    M
    Marcus Lee 5 months ago
    ★★★★★

    Training Singapore offers both online and offline training options, allowing students to choose according to their convenience and learning preferences.

    G
    D
    Daniel Tan 2 weeks ago
    ★★★★★

    I took an Excel course at Training Singapore, and it was extremely beneficial. The trainer explained everything from basic to advanced features like VLOOKUP, Pivot Tables, and Macros in a simple and easy-to-understand way.

    G
    A
    Amanda Lim 1 month ago
    ★★★★★

    The course fees at Training Singapore were fully covered by SkillsFuture Credit. This is a great opportunity if you are a Singapore resident looking to enhance your skills.

    G
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