SQL for Data Science Training

Live Online & Classroom Enterprise Training

A beginner-friendly course designed to introduce SQL concepts and develop data extraction, transformation, and analysis skills for data-driven decision making.

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What is SQL for Data Science Training about?

SQL for Data Science provides learners with practical experience in querying relational databases, performing data manipulation, and generating insights using structured datasets. The course emphasizes hands-on SQL coding skills required to analyze business data, build data pipelines, and support analytical workflows used by data scientists and BI professionals.

What are the objectives of SQL for Data Science Training ?

Understand core SQL syntax, database concepts, and data models
Write queries to extract and filter meaningful information from large datasets
Join, group, and aggregate data for analytical reporting
Apply functions, subqueries, and views for advanced data operations
Use SQL for exploratory data analysis and business insights

Who is SQL for Data Science Training for?

Aspiring Data Analysts & Data Scientists
Business and Reporting Analysts
Software developers working with data-driven applications
IT professionals transitioning to analytics roles
Students and graduates seeking data analysis skills

What are the prerequisites for SQL for Data Science Training?

Prerequisites:

Basic understanding of computers
Familiarity with Excel or spreadsheets
Logical and analytical thinking
Awareness of business data concepts (preferred, not mandatory)
No prior SQL or programming experience required

Learning Path:

Introduction to Databases & SQL
Data Retrieval with SELECT Statements
Joins, Grouping & Aggregations
Subqueries, Views & Advanced SQL Functions
SQL for Data Analytics and Reporting Projects

Related Courses:

Python for Data Science
Data Analytics with Excel / Power BI
Database Management Fundamentals
Data Visualization with Tableau / Power BI

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1: Getting Started with SQL

Basics of SQL Syntax and Commands

SQL Tools and Interfaces

Retrieving Data Using SELECT

Basic Data Filtering and Conditions

Module 2: Introduction to Relational Databases and Tables

Understanding Relational Database Concepts

Entity-Relationship (ER) Modeling

Database Schemas and Normalization

Working with Table Structures

Module 3: Intermediate SQL

Functions and Expressions

Joining Multiple Tables

Subqueries and Nested SELECTs

Data Manipulation Commands (DML)

Module 4: Accessing Databases Using Python

Connecting Python to Databases

Executing SQL Queries with Python

Working with Popular Libraries

Data Handling and Exporting

Who is the instructor for this training?

The trainer for this SQL for Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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