Course Code: 3001
Duration: 2 Months
Level: Certificate
Approach: Coding
Fee: $39.99 per month
The Certificate in SQL and Relational Databases Fundamentals is a foundational program designed to teach students how to create, manage, and query structured data using Structured Query Language (SQL). It covers core database concepts, relational database management systems (RDBMS) like MySQL, PostgreSQL, or SQL Server, and data manipulation techniques.
SQL Fundamentals is a foundational level designed to teach the essentials of managing relational databases and querying data using Structured Query Language (SQL).
This certificate program provides a practical introduction to data management. Students learn how relational databases store information and how to write efficient SQL queries to extract valuable insights. The curriculum balances theoretical data-modeling concepts with hands-on labs, preparing learners to work with real-world corporate databases.
1. Introduction to Databases: Relational vs. non-relational systems, database architecture, and GUI tools.
2. Relational Databases: Database concepts, tables, rows, columns, primary and foreign keys.
3. Basic Querying (DQL): CREATE, USE, ALTER, and DROP statements. Writing SELECT statements, using WHERE clauses, and filtering data.
4. Sorting and Filtering Data: Operators (AND, OR, IN, LIKE, BETWEEN) and ordering results with ORDER BY.
5. Data Aggregation: Using functions like COUNT, SUM, AVG, MIN, and MAX, along with GROUP BY and HAVING.
6. Joining Tables: Combining datasets using INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN.
7. Subqueries and Set Operators: Writing nested queries and using UNION, INTERSECT, and EXCEPT.
8. Data Modification (DML): Inserting, updating, and deleting records using INSERT, UPDATE, DELETE, TRANCATE.
Working English Language skills.
Ordinary Level Mathematics is essential.
Computer Science is an added advantage but not necessary.
Other requirements:
Personal computer or tablet.
Upon completing the certificate, learners will be able to:
1. Write clean SQL queries to retrieve data from complex database structures.
2. Filter and sort data accurately to isolate the exact information needed for reporting.
3. Aggregate dataset metrics to identify trends, averages, and totals across large volumes of data.
4. Combine multiple tables using various join techniques without losing data integrity.
5. Modify database records safely using standard data manipulation commands.
6. Design and manage relational database schemas using normalization rules.
SQL is one of the most universally demanded skills in tech and business. Earning this certificate opens doors to several high-demand roles:
- Data Analyst: Pulling and cleaning data to build business reports and dashboards.
- Business Intelligence (BI) Analyst: Querying databases to track key performance indicators (KPIs).
- Database Administrator (Junior): Managing database access, updates, and ensuring system performance.
- Data Engineer (Entry-Level): Builds data pipelines and moves data into warehouses for advanced analytics.
- Marketing Analyst: Segmenting customer databases to track campaign performance.