Training Course in Data Management Using MS Excel


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Training Course in Data Management Using MS Excel Details

 

Course Title Training Course in Data Management Using MS Excel
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
  • Researchers
  • Project and program managers
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

 

This 5-day training course is designed to give participants practical skills in organizing, cleaning, transforming, and analyzing data using Excel’s advanced data management tools.

 

The course combines instructor-led sessions, hands-on exercises, and real-world case studies that help participants learn how to structure, clean, transform, and analyze complex data sets.

 

This course is ideal for professionals working in business, finance, Monitoring & Evaluation (M&E), research, data analysis, or any role requiring streamlined data processes.

 

Key Skills Covered

 

  • Efficient data entry, organization, formatting, and structuring
  • Data cleaning and transformation: correcting errors, handling dates/times, cleaning text, reshaping data, using transformation tools
  • Advanced formulas/functions: array formulas, dynamic arrays, lookup, logical, statistical, and financial functions
  • Data consolidation and integration: using tools to integrate and summarize data
  • Data analysis and statistical techniques

 

Duration

 

5 days

 

Who Should Attend This Course?

 

  • Business professionals
  • Market research specialists
  • M&E professionals
  • Researchers
  • Project and program managers
  • Anyone seeking to improve proficiency in Excel for data management and visualization

 

Course Objectives

 

By the end of this 5-day training, you will be able to:

 

  • Organize and structure datasets properly
  • Clean, validate, and transform raw data
  • Use advanced formulas and dynamic functions
  • Consolidate multiple datasets efficiently
  • Perform foundational data analysis and summarization

 

 

Course Requirements

 

  • Proficiency in English
  • Basic computer literacy
  • Familiarity with Excel (entering data, basic formulas)
  • Access to a laptop with Excel 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 Advanced Data Management in Excel

 

  • Overview of data management concepts
  • Understanding Excel’s data storage capabilities
  • Best practices for data organization and structuring
  • Using Excel Tables for Efficient Data Handling
  • Hands-on Exercise: Organizing and managing a large sales dataset

 

Module II: Data Cleaning and Transformation

 

  • Techniques for data cleaning and error correction
  • Using text functions for data manipulation
  • Working with dates and times
  • Leveraging Power Query for data transformation
  • Hands-on Exercise: Cleaning and transforming a customer database

 

 

Module III: Advanced Excel Formulas and Functions

 

  • Mastering array formulas and dynamic arrays
  • Using advanced logical functions
  • Lookup functions (XLOOKUP, INDEX/MATCH, etc.)
  • Financial and statistical functions
  • Combining functions for complex data manipulation
  • Hands-on Exercise: Building a dynamic financial model

 

Module IV: Data Consolidation and Integration

 

  • Consolidating data from multiple sources
  • Integrating data using Power Query
  • Working with external data connections
  • Using PivotTables for data summarization
  • Hands-on Exercise: Consolidating and analyzing multi-regional data

 

Module V: Data Analysis Essentials

 

  • Summarizing and analyzing datasets
  • Using descriptive statistics
  • Applying custom formulas for insights
  • Basic interpretation of results for decision-making
  • Hands-on Exercise: End-to-end analysis project

 


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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February 2026

Date:
2 Feb - 6 Feb
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
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March 2026

Date:
2 Mar - 6 Mar
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Nairobi
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KES 75,000 | $1,100
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April 2026

Date:
6 Apr - 10 Apr
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Nairobi
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KES 75,000 | $1,100
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May 2026

Date:
4 May - 8 May
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5 days
Location:
Nairobi
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KES 75,000 | $1,100
Action:

June 2026

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

July 2026

Date:
6 Jul - 10 Jul
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

August 2026

Date:
3 Aug - 7 Aug
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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September 2026

Date:
7 Sep - 11 Sep
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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October 2026

Date:
5 Oct - 9 Oct
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
Action:

November 2026

Date:
2 Nov - 6 Nov
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5 days
Location:
Nairobi
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KES 75,000 | $1,100
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December 2026

Date:
7 Dec - 11 Dec
Duration:
5 days
Location:
Nairobi
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KES 75,000 | $1,100
Action:

January 2027

Date:
4 Jan - 8 Jan
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

February 2027

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

March 2027

Date:
1 Mar - 5 Mar
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
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April 2027

Date:
5 Apr - 9 Apr
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5 days
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Nairobi
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KES 75,000 | $1,100
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May 2027

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3 May - 7 May
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Location:
Nairobi
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KES 75,000 | $1,100
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June 2027

Date:
7 Jun - 11 Jun
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

July 2027

Date:
5 Jul - 9 Jul
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

August 2027

Date:
2 Aug - 6 Aug
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

September 2027

Date:
6 Sep - 10 Sep
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

October 2027

Date:
4 Oct - 8 Oct
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

November 2027

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

December 2027

Date:
6 Dec - 10 Dec
Duration:
5 days
Location:
Nairobi
Standard Fee:
KES 75,000 | $1,100
Action:

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