SQL for Data Analytics
Master the essential skills of SQL for efficient database
querying, enabling you to extract, analyze, and manipulate data to derive critical
business insights. This program will teach you how to write complex queries,
perform various types of joins, utilize aggregate functions, and apply window
operations to effectively uncover patterns and trends within relational databases.
₦200,000
Nigeria
$133.33
International
5 Weeks
Duration
- Virtual Classes (specific days/times to be confirmed upon registration).
Curriculum Breakdown
SQL is a fundamental skill for anyone working with
data. This course provides the expertise to efficiently retrieve and manipulate
data, which is crucial for data-driven decision-making.
1
SQL Fundamentals & Database Basics
- Introduction to Relational Databases and SQL
- Database Schema and Table Structure
- SELECT, FROM, WHERE clauses
- Data Types and Operators
2
Filtering, Sorting, and Basic Functions
- ORDER BY, LIMIT, DISTINCT
- LIKE, IN, BETWEEN, IS NULL operators
- Single-row Functions (Text, Numeric, Date Functions)
- Introduction to GROUP BY and Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
3
Joining Tables and Subqueries
- Types of Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN)
- Understanding Table Relationships
- Introduction to Subqueries (Scalar, Multi-row)
- Correlated Subqueries
4
Advanced SQL Concepts
- Common Table Expressions (CTEs)
- Window Functions (ROW_NUMBER, RANK, LAG, LEAD, Aggregates over Windows)
- Set Operators (UNION, INTERSECT, EXCEPT)
- Data Manipulation Language (DML): INSERT, UPDATE, DELETE
5
Database Design, Performance & Case Studies
- Basic Database Design Principles (Normalization)
- Indexing for Performance Optimization
- Views and Stored Procedures (Introduction)
- Practical Data Analytics Case Studies with SQL
Job Opportunities
- Data Analyst
- Business Intelligence Analyst
- Database Developer
- SQL Developer
Enroll Now to get Started
Explore our other courses
Introduction to Data Engineering
Introduction to Data Engineering
Learn the fundamentals of building and maintaining data infrastructure that powers analytics and machine learning. Master data pipeline creation, ETL processes, database design, and cloud platforms to ensure reliable data flow from sources to insights.
Introduction to AI
Introduction to AI
Explore the fundamentals of Artificial Intelligence and its real-world applications across industries. Learn core AI concepts, machine learning basics, and how AI technologies are transforming business operations for professionals preparing for an AI-driven future.
SQL for Data Analytics
SQL for Data Analytics
Master SQL database querying to extract, analyze, and manipulate data for business insights. Learn to write complex queries, perform joins, aggregate functions, and window operations to uncover patterns and trends from relational databases efficiently.
Python for Data Analytics
Python for Data Analytics
Learn Python programming specifically for data analysis and insights generation. Master essential libraries like Pandas, NumPy, and Matplotlib to clean, manipulate, and visualize data effectively while building practical skills in statistical analysis and reporting.
Excel Mastery
Excel Mastery
Master Microsoft Excel from basic functions to advanced data analysis techniques. Learn formulas, pivot tables, data visualization, macros, and automation to streamline workflows and unlock powerful insights essential for professionals in any data-driven role.
Power BI Mastery
Power BI Mastery
Master Microsoft Power BI to transform raw data into compelling visual stories and interactive dashboards. Learn to connect multiple data sources, create dynamic reports, and build automated analytics solutions that drive informed business decisions for organizational success.