Training Course in Data Manipulation and Processing Using SQL

Training Course in Data Manipulation and Processing Using SQL

The SQL for Data Manipulation and Processing Training Course is a comprehensive, hands-on training that equips participants with the skills to query, transform, clean, and analyze data stored in relational databases.

Foundation
01

Course Overview

Training Course in Data Manipulation and Processing Using SQL: Course Details

 

Course Title Training Course in Data Manipulation and Processing Using SQL
Organization Tech For Development (T4D) 
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 days
Target Industries
  • Medical research and public health
  • Non-profit organization management
  • Public policy
  • Academic research
Target Job Roles
  • Database administrators
  • Data analysts
  • Business analysts
  • IT professionals
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

 

The SQL for Data Manipulation and Processing Training Course is a comprehensive, hands-on training that equips participants with the skills to query, transform, clean, and analyze data stored in relational databases.

 

This training is ideal for diverse professional database administrators, data analysts, business analysts, and IT professionals.

 

Participants will learn both foundational and advanced SQL techniques: from basic SELECT queries to complex joins, subqueries, window functions, data transformation and cleansing, performance optimization, database management, and integrating SQL workflows with other tools.

 

By the end of this course, you should be able to:

 

  • Handle complex, large datasets
  • Prepare clean, analysis-ready datasets
  • Use SQL for data analysis and reporting
  • Implement efficient, optimized data-manipulation workflows

 

Duration

 

5 days

 

 

What are the Key Skills from This Course?

 

  • SQL querying and data retrieval
  • Advanced query construction
  • Data cleaning, transformation, and aggregation
  • Database structure
  • Query optimization
  • Analytical reporting Using SQL

 


Who Should Attend This Course?

 

  • Database administrators
  • Data analysts
  • Business analysts
  • IT professionals

 

 

Course Objectives

 

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

 

  • Understand the fundamentals of SQL for data manipulation.
  • Learn SQL querying techniques.
  • Perform data transformation and aggregation.
  • Handle complex joins and subqueries.
  • Optimize SQL queries for performance.
  • Manage and maintain relational databases.
  • Develop skills for data analysis and reporting.
  • Integrate SQL with other data tools and platforms.
  • Troubleshoot and resolve common SQL issues.
  • Apply learned skills to real-world data projects

 

 

Course Requirements

 

  • Proficiency in English
  • Basic computer literacy
  • Familiarity with data processes

 

 

 

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 SQL and Relational Databases

 

  • Overview of SQL
  • Relational database concepts
  • SQL environment setup
  • Basic SQL syntax
  • Data types
  • Table structures

 

 

Module II: Querying Data with SQL

 

  • SELECT statements
  • Filtering data (WHERE)
  • Sorting data (ORDER BY)
  • Working with NULL values
  • Limiting result sets

 

 

Module III: Advanced SQL Queries

 

  • JOIN operations (INNER, LEFT, RIGHT, FULL)
  • Subqueries
  • Combining data from multiple tables
  • Complex query construction

 

 

Module IV: Data Transformation and Aggregation

 

  • Aggregate functions (SUM, AVG, COUNT, MIN, MAX)
  • GROUP BY and HAVING
  • Data cleaning and data formatting
  • Data summarization
  • Preparing data for analysis

 

 

Module V: Performance Optimization

 

  • Indexing
  • Query optimization techniques
  • Improving data retrieval speed
  • Efficient data storage

 

 

Module VI: Database and Table Management

 

  • Creating tables
  • Modifying tables
  • Table constraints (Primary keys, Foreign keys, Unique constraints)
  • Normalization and schema design

 

 

Module VII: Advanced Data Analysis and Reporting with SQL

 

  • Complex data analysis queries
  • Statistical summaries
  • Trend and pattern detection
  • Generating analysis reports

 

 

Module VIII: Integrating SQL with Other Tools and Environments

 

  • Exporting SQL outputs
  • Using SQL data with external analysis or reporting tools
  • Overview of integration workflows
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
19 Jan - 23 Jan
Nairobi
KES 75,000 |
$1,100
Enroll
16 Feb - 20 Feb
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
Enroll
18 Jan - 22 Jan
Nairobi
KES 75,000 |
$1,100
Enroll
15 Feb - 19 Feb
Nairobi
KES 75,000 |
$1,100
Enroll
15 Mar - 19 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
19 Apr - 23 Apr
Nairobi
KES 75,000 |
$1,100
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17 May - 21 May
Nairobi
KES 75,000 |
$1,100
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21 Jun - 25 Jun
Nairobi
KES 75,000 |
$1,100
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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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