Data Analytics Essentials : Powering Up with Power Query in Excel (Intermediate) – 1 Day

Date : 19/03/2025 - 20/03/2025
Time : 9:00 am - 5:00 pm
Location : The HUB, Jaya One, PJ

Contact Person : Esther Yong
Email : inquiry@knowledgehub-asia.com
Mobile : +012-2662728
Office Tel : +603-7622 0578
Normal Rate : MYR 0.00
Promotion Rate : Contact us for discounted rate.

Course Overview

This one-day corporate training program, “Intermediate Power Query with Microsoft Excel,” is designed for participants who have a basic understanding of Power Query and want to enhance their skills. Power Query is a powerful data transformation tool that enables users to efficiently manipulate and transform data from various sources, making data analysis and reporting more streamlined and insightful.

This intermediate level course will delve deeper into Power Query’s capabilities, providing participants with the knowledge and tools to work with data more effectively.

(Disclaimer: This course assumes a prerequisite level of proficiency in Microsoft Excel. Participants are expected to be familiar with Excel’s basic Power ?uery operations, functions, and data handling. It is recommended that individuals

without prior Excel experience consider taking an introductory Excel course before enrolling in this program to maximize their learning outcomes.)

Course Objective

1. Build on foundational Power Query skills and deepen your understanding of its capabilities.
2. Learn advanced data transformation techniques to handle complex data
3. Explore practical use cases and scenarios for Power Query in real-world
4. Gain proficiency in handling data from diverse sources, including databases, web data, and spreadsheets.
5. Enhance your ability to create and manage custom transformations for specific business needs.

Learning Outcome

Upon completion, participants will be able to:

1. Use Power Query to efficiently manage and transform data from multiple
2. Employ advanced data cleaning and transformation
3. Apply Power Query to real-world data scenarios and problem-
4. Handle complex data sources, including API data and large
5. Develop custom solutions for specific data transformation requirements

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