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SQL Databases & SQL

SQL

Almost every application on earth stores its data in a database, and SQL is how you talk to it. This course takes you from writing simple queries to joining data across tables, grouping and aggregating for real reports, and designing schemas that stay fast as they grow. You finish able to pull exactly the data anyone asks for.

Duration
35-38 Days
Format
Live 1-on-1
Level
Professional
Certificate
Osian NSDC
Overview

What this course is about

SQL becomes much easier when every query answers a recognisable business question. In these live one-on-one online classes, you practise retrieving customer, order, inventory and employee data instead of copying disconnected syntax. The teacher adjusts the pace for a school leaver, graduate, analyst or working professional and explains how database design affects query results. You build reliable habits around filtering, sorting, null values and readable query structure.

Lessons move from SELECT statements and conditions to joins, grouping, subqueries, common table expressions and window functions. You learn to create tables, choose suitable data types, apply keys and constraints, and modify records carefully. Practical exercises include monthly sales summaries, duplicate detection, customer activity reports and data-quality checks. The SQL course online also introduces indexes, transactions and permissions so your knowledge extends beyond report writing.

A portfolio of clean queries gives you something concrete to discuss in interviews for data support, testing, reporting and junior development roles. You can work with a suitable relational database such as MySQL, PostgreSQL or SQL Server, depending on your learning goal and available setup. Completion includes a course certificate plus resume help, mock interviews and placement support, while the teacher helps you choose a sensible next technology.

By the end

What you’ll be able to do

  • Write accurate SQL queries using filters, aliases, expressions and ordered results.
  • Combine related tables with inner, outer and self-join techniques.
  • Summarise datasets using grouping, aggregates, subqueries and window functions.
  • Design relational tables with keys, constraints and suitable data types.
  • Improve query reliability by checking nulls, duplicates, transactions and permissions.
  • Build practical reports that explain data findings clearly to non-technical users.
Syllabus

How the course flows

  1. 1
    Data & TablesWeek 1

    How relational data is organised, and creating your first tables and records.

  2. 2
    Querying DataWeek 2

    SELECT, WHERE, ORDER BY and filtering — pulling exactly the rows you need.

  3. 3
    Joins & RelationshipsWeek 3

    Combining data across tables with inner, outer and self joins.

  4. 4
    Aggregation & GroupingWeek 4

    GROUP BY, HAVING and aggregate functions for real reporting queries.

  5. 5
    Design & OptimisationWeeks 5–6

    Normalisation, indexes and writing queries that stay fast on big tables.

Toolkit

Tools you’ll use

  • MySQL
  • PostgreSQL
  • SQL Server
  • MongoDB
  • DBeaver
Audience

Who this course is for

  • College students beginning data and database study
  • Graduates preparing for analyst or testing interviews
  • Excel users moving towards structured database reporting
  • Developers who need stronger relational query skills
  • Working professionals seeking flexible SQL classes for beginners
Where it leads

Roles this opens up

  • Junior SQL Developer

    Creates and tests queries, views and database changes under project guidance.

  • Reporting Analyst

    Turns operational records into dependable summaries for business decisions.

  • Database Support Associate

    Checks data issues and assists teams with routine relational database requests.

Questions

Before you enrol

No programming background is required because the course begins with data retrieval and database logic. Familiarity with spreadsheets is useful, but the teacher explains relational ideas from the ground up.

MySQL, PostgreSQL and SQL Server are suitable practice choices, and the examples can be adapted to the platform you use. Ask before setup so the teacher can align syntax and installation guidance.

Yes, you work on sales summaries, activity reports, duplicate checks and data-quality questions. These tasks are designed to show how a query supports an actual decision rather than only testing grammar.

It can be a useful foundation after 12th for learners exploring data, software testing or application development. Strong results come from regular practice and later study of a chosen database or programming stack.

The query exercises cover common interview areas such as joins, grouping, subqueries and constraints. They do not replace employer-specific preparation, so you should also revise problem solving and communication.

SQL focuses on querying, modelling and manipulating relational data across common database platforms. Oracle administration focuses on running Oracle instances, managing storage, controlling access and planning recovery.