Training Course in Data Analysis Using Power Query

Training Course in Data Analysis Using Power Query

This training course equips participants with practical skills to automate and streamline data cleaning and transformation before its in-depth analysis or reporting.

Foundation
01

Course Overview

Course Summary
Course Title Training Course in Data Analysis Using Power Query
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 Days
Target Industries
  • Capital markets
  • Financial services
  • Investment banking
  • Market research
  • Research
  • Nonprofit management
  • Human resources
Target Job Roles
  • Business professionals
  • Market research specialists
  • M&E professionals
  • Data Analysts
  • Business Analysts
  • Data Scientists
  • Financial Analysts
Course Fees (Face-to-Face) USD 1100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) USD 500/KES 55,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Upon successful completion of the training, participants will receive a Tech For Development Certificate of Course Completion
Accreditation Tech For Development Certificate of Course Completion

Power Query is a data-preparation and data-transformation engine embedded in Microsoft Excel and Power BI software.

 

The main purpose of Power Query is Extract, Transform, and Load (ETL), enabling you to automate repeated data-preparation tasks so you don’t waste time doing manual cleaning or shaping of data each time.

 

This training course equips participants with practical skills to automate and streamline data cleaning and transformation before its in-depth analysis or reporting.

 

You will master Power Query's interface, functionalities, and advanced features for tasks such as data cleaning, merging, and custom column creation with ease.

 

What are the Key Skills From this Course?

 

  • Importing data from various sources (Excel, databases, etc.)
  • Data cleaning and preparation
  • Data transformation and reshaping
  • Combining and integrating data from multiple sources
  • Resolving duplicates or conflicts, consolidating datasets for unified analysis
  • Automating data workflows

 

 

Duration

 

5 days

 

Who Should Attend This Course?

 

  • Business professionals
  • Market research specialists
  • M&E professionals
  • Data Analysts
  • Business Analysts
  • Data Scientists
  • Financial Analysts

 

 

Course Objectives

 

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

 

  • Understand the basics of Power Query and its interface
  • Master techniques for importing and cleaning data from various sources
  • Automate data transformation tasks to save time and reduce errors
  • Integrate data from multiple sources for comprehensive analysis
  • Develop practical skills through hands-on case studies

 

 

Course Requirements

 

  • Proficiency in English
  • Basic computer literacy
  • Familiarity with Excel (entering data, basic formulas)
  • Access to a laptop with MS Excel and Power BI installed

 

Training Approaches

 

  • Interactive lectures
  • Live demonstrations
  • Hands-on exercises
  • Group discussions
  • Real-world case studies
  • Knowledge checks and quizzes
  • Collaborative group work

 

 

 

02

Course Modules

Course Outline

 

Module I: Introduction to Power Query

 

  • Overview of Power Query interface and features
  • Understanding data import options
  • Basic data cleaning techniques
  • Hands-on Exercise: Importing and cleaning a dataset from Excel

 

Module II: Data Transformation Techniques

 

  • Applying filters and sorting data
  • Using functions for data manipulation
  • Creating custom columns and calculations
  • Hands-on Exercise: Transforming sales data for quarterly reports

 

Module III: Data Integration and Combining Sources

 

  • Merging and appending queries
  • Combining data from different sources (Excel, SQL, etc.)
  • Resolving data conflicts and duplicates
  • Hands-on Exercise: Integrating data from multiple departments for a unified view

 

Module IV: Automating Data Refresh and Workflow

 

  • Setting up automatic data refresh schedules
  • Creating and managing query parameters
  • Using Power Query with Power BI for advanced analytics
  • Hands-on Exercise: Automating a weekly data update process for a business dashboard

 

Module V: Advanced Power Query Techniques

 

  • Advanced data transformation functions
  • Handling complex data scenarios
  • Optimizing Power Query performance
  • Hands-on Exercise: Handling and transforming large datasets for detailed analysis
03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

2026 Schedules

Date & Location Cost
16 Mar - 20 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
16 Mar - 20 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
20 Apr - 24 Apr
Nairobi
KES 75,000 |
$1,100
Enroll
18 May - 22 May
Nairobi
KES 75,000 |
$1,100
Enroll
15 Jun - 19 Jun
Nairobi
KES 75,000 |
$1,100
Enroll
20 Jul - 24 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
17 Aug - 21 Aug
Nairobi
KES 75,000 |
$1,100
Enroll
21 Sep - 25 Sep
Nairobi
KES 75,000 |
$1,100
Enroll
19 Oct - 23 Oct
Nairobi
KES 75,000 |
$1,100
Enroll
16 Nov - 20 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
21 Dec - 25 Dec
Nairobi
KES 75,000 |
$1,100
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18 Jan - 22 Jan
Nairobi
KES 75,000 |
$1,100
Enroll
15 Feb - 19 Feb
Nairobi
KES 75,000 |
$1,100
Enroll
19 Apr - 23 Apr
Nairobi
KES 75,000 |
$1,100
Enroll
17 May - 21 May
Nairobi
KES 75,000 |
$1,100
Enroll
21 Jun - 25 Jun
Nairobi
KES 75,000 |
$1,100
Enroll
19 Jul - 23 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
16 Aug - 20 Aug
Nairobi
KES 75,000 |
$1,100
Enroll
20 Sep - 24 Sep
Nairobi
KES 75,000 |
$1,100
Enroll
18 Oct - 22 Oct
Nairobi
KES 75,000 |
$1,100
Enroll
15 Nov - 19 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
20 Dec - 24 Dec
Nairobi
KES 75,000 |
$1,100
Enroll

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