Introduction

In today’s data-driven world, SQL (Structured Query Language) remains the backbone of data management and analysis. Whether you are a budding data scientist, researcher, or analytics professional, mastering SQL enables you to extract, manipulate, and analyze large datasets with efficiency and precision. SQL for Data Science and Research Training Course equips participants with practical skills to query complex databases, optimize performance, and generate actionable insights for business, academic, and research applications.

This course emphasizes hands-on learning, real-world case studies, and industry-relevant techniques. Participants will gain expertise in data modeling, data cleaning, advanced querying, and reporting, empowering them to transform raw data into meaningful insights. By combining theoretical knowledge with practical exercises, this training ensures learners can confidently apply SQL in data analytics, machine learning, research projects, and business intelligence workflows.

Programme Curriculum

SQL for Data Science and Research Training Course

Introduction

Course Duration

5 days

Course Objectives

Master SQL querying for efficient data retrieval and manipulation.
Understand relational database design and normalization principles.
Perform data cleaning and transformation for analytics and research.
Implement joins, subqueries, and aggregations for complex datasets.
Gain proficiency in data analysis using SQL functions.
Learn performance optimization techniques for large databases.
Apply SQL in real-world research scenarios and case studies.
Develop automated reporting and dashboards using SQL.
Integrate SQL with Python and R for data science workflows.
Build expertise in handling big data and cloud databases.
Understand data security and governance in SQL environments.
Translate business and research requirements into actionable queries.
Prepare for career growth in data analytics, research, and BI roles.

Target Audience

Aspiring data scientists and analysts
Research scholars in academia
Business intelligence professionals
Data engineers looking to strengthen SQL skills
Healthcare and finance researchers
Students in computer science and analytics
Project managers overseeing data-driven projects
Anyone seeking career growth in data analytics or research

Course Modules

Module 1: Introduction to SQL and Databases

Understanding relational databases and SQL fundamentals
Overview of database management systems (DBMS)
Introduction to data types and constraints
Hands-on setup with MySQL, PostgreSQL, or SQL Server
Case Study: Exploring real-world research database structures

Module 2: Data Retrieval and Querying

SELECT statements and filtering data
Using WHERE, ORDER BY, and DISTINCT clauses
Implementing conditional logic with CASE statements
Sorting, grouping, and aggregating data efficiently
Case Study: Querying COVID-19 research datasets

Module 3: Joins and Subqueries

Mastering INNER, LEFT, RIGHT, FULL OUTER joins
Writing nested subqueries for complex analysis
Combining datasets for cross-functional insights
Understanding self-joins and cross joins
Case Study: Combining survey and experimental datasets

Module 4: Data Cleaning and Transformation

Handling NULL values and duplicates
Using string, date, and numeric functions for transformation
Creating derived columns and computed fields
Implementing data validation rules
Case Study: Cleaning clinical trial datasets

Module 5: Advanced SQL Functions

Aggregate functions
Analytical functions
Window functions for time-series and cohort analysis
String manipulation and pattern matching with LIKE, REGEXP
Case Study: Sales trend analysis in retail datasets

Module 6: Performance Optimization

Indexing strategies for faster query execution
Understanding query execution plans
Using temporary tables and views efficiently
Optimizing joins and subqueries
Case Study: Optimizing large-scale e-commerce database queries

Module 7: SQL Integration with Data Science Tools

Connecting SQL with Python
Using SQL with R for statistical analysis
Exporting SQL query results for machine learning pipelines
Automating data pipelines with ETL processes
Case Study: Predictive modeling using SQL-integrated Python workflows

Module 8: Reporting, Dashboards, and Research Applications

Building dynamic reports with SQL queries
Introduction to BI tools (Tableau, Power BI) integration
Creating dashboards for real-time data visualization
Using SQL for academic and market research analytics
Case Study: Dashboard for healthcare research insights

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Database querying Data manipulation Data analysis Reporting

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000