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What You'll Learn

Master SQL for Data Science and unlock the power of relational databases. Learn to query, manipulate, and analyze large datasets efficiently. Gain proficiency in SQL to extract valuable insights and inform data-driven decisions.

Course Benefits
Industry Certification

Internationally recognized qualification

Expert Instructors

Learn from industry professionals

Dedicated Support

Assistance during and after training

Practical Skills

Apply knowledge immediately

Comprehensive 10-day curriculum with all materials included
Hands-on exercises and real-world case studies
Valuable networking opportunities with peers and experts
Post-course resources and refresher materials
Training on SQL for Data Science - Course Cover Image
Duration 10 Days
Level Intermediate
Format In-Person

Course Overview

Featured

SQL is a fundamental skill for data analysts, data scientists, and professionals in data-related roles. With the growing reliance on data for decision-making, SQL proficiency is highly sought after in the job market. This course is designed to equip participants with the essential skills needed to manipulate and analyze data using SQL (Structured Query Language). The course covers foundational SQL concepts as well as advanced data retrieval techniques and data analysis strategies tailored for data science applications. Participants will engage in hands-on exercises and real-world case studies to ensure they can effectively utilize SQL to drive insights and support data-driven decision-making.

Duration

10 Days

Who Should Attend

This course is suitable for individuals with a basic understanding of data science concepts who want to strengthen their SQL skills. Data analysts, data scientists, machine learning engineers, and anyone working with large datasets will benefit from this training.

Course Impact

Organizational Impact

  • Boost operational efficiency by enabling employees to access and prepare data independently.

  • Support timely, data-driven decision-making through complex queries and insights.

  • Foster a data-literate culture to uncover trends and improve profitability.

  • Standardize SQL knowledge for consistent, reliable business intelligence.

Personal Impact

  • Gain a foundational, in-demand skill in data science.

  • Advance into senior roles in data science, analytics, or business intelligence.

  • Contribute to organizational success with actionable, data-driven insights.

  • Build confidence to lead and champion data initiatives.

Course Objectives

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

  • Understand the fundamentals of SQL and its role in data science.
  • Write complex SQL queries to extract and manipulate data from relational databases.
  • Utilize advanced SQL functions for data aggregation, filtering, and transformation.
  • Implement techniques for data analysis and reporting using SQL.
  • Apply best practices for database design and optimization.
  • Solve real-world data science problems using SQL through practical exercises and projects.

Course Outline

Module 1: Introduction to SQL

  • Overview of databases and data structures
  • Introduction to SQL syntax and commands
  • Setting up the database environment

Module 2: Basic SQL Queries

  • SELECT statements
  • Filtering data with WHERE clause
  • Sorting data with ORDER BY

Module 3: Advanced Querying Techniques

  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries and nested queries
  • Working with multiple tables

Module 4: Data Aggregation and Grouping

  • Using GROUP BY for aggregation
  • Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
  • HAVING clause for filtered groups

Module 5: Data Manipulation

  • INSERT, UPDATE, DELETE operations
  • Understanding transactions and data integrity
  • Managing constraints

Module 6: Functions and Expressions

  • String functions and date functions
  • Mathematical functions
  • Using CASE statements for conditional logic

Module 7: Database Design Principles

  • Understanding normalization and denormalization
  • Keys and indexes in database design
  • Best practices for schema design

Module 8: SQL for Data Science

  • Introduction to data analysis concepts in SQL
  • Handling missing data and duplicates
  • Data transformation techniques

Module 9: Practical Case Studies

  • Real-world case studies to apply SQL skills
  • Analyzing a dataset using SQL

Module 10: Final Project and Review

  • Review of key concepts and Q&A session
  • Feedback and course wrap-up

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration Details

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

Upon successful completion of this course, participants will be issued with a certificate from Ideal Workplace Solutions certified by the National Industrial Training Authority (NITA) under License NO: NITA/TRN/2734.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealworkplacesolutions.org.

For further inquiries, please contact us on details below:

Register for the Course

Select a date and location that works for you.

In-Person Training Schedules


January 2026
Date Days Venue Fee (VAT Incl.) Register
5 Jan - 16 Jan 2026 10 days Nairobi, Kenya KES 198,000 | USD 2,800 Enroll Now
5 Jan - 16 Jan 2026 10 days Cape Town, South Africa USD 7,500 Enroll Now
5 Jan - 16 Jan 2026 10 days Dubai, United Arabs Emirates USD 8,000 Enroll Now
5 Jan - 16 Jan 2026 10 days Zanzibar, Tanzania USD 4,400 Enroll Now
12 Jan - 23 Jan 2026 10 days Mombasa, Kenya KES 230,000 | USD 3,000 Enroll Now
12 Jan - 23 Jan 2026 10 days Kigali, Rwanda USD 3,800 Enroll Now
12 Jan - 23 Jan 2026 10 days Accra, Ghana USD 7,200 Enroll Now
12 Jan - 23 Jan 2026 10 days Kampala, Uganda USD 3,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dar es Salaam, Tanzania USD 4,300 Enroll Now
19 Jan - 30 Jan 2026 10 days Johannesburg, South Africa USD 6,500 Enroll Now
19 Jan - 30 Jan 2026 10 days Nakuru, Kenya KES 210,000 | USD 2,800 Enroll Now
19 Jan - 30 Jan 2026 10 days Dakar, Senegal USD 6,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Pretoria, South Africa USD 6,300 Enroll Now
26 Jan - 6 Feb 2026 10 days Kisumu, Kenya KES 210,000 | USD 3,000 Enroll Now
26 Jan - 6 Feb 2026 10 days Naivasha, Kenya KES 210,000 | USD 2,800 Enroll Now
26 Jan - 6 Feb 2026 10 days Arusha, Tanzania USD 4,300 Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Nairobi, Kenya
Fee (VAT Incl.):
KES 198,000
USD 2,800
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Cape Town, South Africa
Fee (VAT Incl.):
USD 7,500
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Dubai, United Arabs Emirates
Fee (VAT Incl.):
USD 8,000
Enroll Now
5 Jan - 16 Jan 2026
10 days
Venue:
Zanzibar, Tanzania
Fee (VAT Incl.):
USD 4,400
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Mombasa, Kenya
Fee (VAT Incl.):
KES 230,000
USD 3,000
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kigali, Rwanda
Fee (VAT Incl.):
USD 3,800
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Accra, Ghana
Fee (VAT Incl.):
USD 7,200
Enroll Now
12 Jan - 23 Jan 2026
10 days
Venue:
Kampala, Uganda
Fee (VAT Incl.):
USD 3,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dar es Salaam, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Johannesburg, South Africa
Fee (VAT Incl.):
USD 6,500
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Nakuru, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
19 Jan - 30 Jan 2026
10 days
Venue:
Dakar, Senegal
Fee (VAT Incl.):
USD 6,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Pretoria, South Africa
Fee (VAT Incl.):
USD 6,300
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Kisumu, Kenya
Fee (VAT Incl.):
KES 210,000
USD 3,000
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Naivasha, Kenya
Fee (VAT Incl.):
KES 210,000
USD 2,800
Enroll Now
26 Jan - 6 Feb 2026
10 days
Venue:
Arusha, Tanzania
Fee (VAT Incl.):
USD 4,300
Enroll Now

Request Custom Training


We offer customized training solutions tailored to your organization's specific needs:

  • Training at your preferred location
  • Customized content to address your specific challenges
  • Flexible scheduling to accommodate your team
  • Cost-effective solution for training multiple employees
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Frequently Asked Questions

Find answers to common questions about this course

The goal is to equip you with the skills to use SQL to access, manipulate, and analyze data from databases, a foundational skill for any data science professional.
SQL is the standard language for querying databases, which are the primary source of data. Mastering it allows you to efficiently retrieve and prepare data for analysis.
You'll learn to use core commands like SELECT, WHERE, GROUP BY, and ORDER BY, along with various JOIN types to combine data from multiple tables.
You'll learn to use SQL functions to handle missing values, format data, and filter out irrelevant information, ensuring your data is clean and ready for analysis.
The training covers advanced topics like subqueries, window functions, and Common Table Expressions (CTEs) to perform complex, multi-step data analysis directly in the database.
Training on SQL for Data Science

Next class starts 5 Jan 2026

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