Training Course in Data Analysis Using Power Query


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Training Course in Data Analysis Using Power Query: Course Details

 

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 training)

USD 1100/KES 75,000 (Exclusive of VAT)

Course Fees (virtual training) USD 500/KES 55,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Upon successful completion of the training, participants will receive a Tech For Development Certificate of Course Completion

 

 

Course Summary

 

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

 

 

 


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

Related Courses


Course Administration Details:

Methodology

This instructor-led training course is delivered using a blended learning approach and comprises presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion.

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation and Airport Transfer

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Training Centre or at a convenient location. For further inquiries, please contact us on:

Payment

Payment should be transferred to our bank account on or before the start of the course. Send proof of payment to letstalk@techfordevelopment.com

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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

January 2026

Date:
19 Jan - 23 Jan
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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February 2026

Date:
16 Feb - 20 Feb
Duration:
5 days
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Nairobi
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KES 75,000 | $1,100
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March 2026

Date:
16 Mar - 20 Mar
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5 days
Location:
Nairobi
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KES 75,000 | $1,100
Action:
Date:
16 Mar - 20 Mar
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5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

April 2026

Date:
20 Apr - 24 Apr
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

May 2026

Date:
18 May - 22 May
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

June 2026

Date:
15 Jun - 19 Jun
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

July 2026

Date:
20 Jul - 24 Jul
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

August 2026

Date:
17 Aug - 21 Aug
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

September 2026

Date:
21 Sep - 25 Sep
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

October 2026

Date:
19 Oct - 23 Oct
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

November 2026

Date:
16 Nov - 20 Nov
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

December 2026

Date:
21 Dec - 25 Dec
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

January 2027

Date:
18 Jan - 22 Jan
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

February 2027

Date:
15 Feb - 19 Feb
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

April 2027

Date:
19 Apr - 23 Apr
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

May 2027

Date:
17 May - 21 May
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

June 2027

Date:
21 Jun - 25 Jun
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

July 2027

Date:
19 Jul - 23 Jul
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

August 2027

Date:
16 Aug - 20 Aug
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

September 2027

Date:
20 Sep - 24 Sep
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

October 2027

Date:
18 Oct - 22 Oct
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

November 2027

Date:
15 Nov - 19 Nov
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

December 2027

Date:
20 Dec - 24 Dec
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

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