SQL for Data Analysis
This SQL for Data Analysis course is a comprehensive guide to mastering SQL querying for data analysis. It focuses on a deep understanding of manipulating, analyzing, and interpreting complex datasets using SQL, the standard language for managing relational databases.
per person
Level
Duration
Training Delivery Format
Face-to-face / Virtual Class
per person
Level
Duration
Training Delivery Format
Face-to-face (F2F) / Virtual Class
Class types
Public Class
Private Class
In-House Training
Bespoke
About this course
In this two-day course, learners will gain an in-depth understanding of SQL and its applications in data analysis. Beginning with basic SQL queries, the course progresses to advanced data manipulation and analysis techniques.
Students will learn how to handle structured data in databases and develop the necessary skills to manipulate and interpret such data effectively. Real-world examples and exercises will be used throughout the course to ensure practical, hands-on experience.
Who should attend?
This course is ideal for data analysts, business analysts, marketing analysts, research analysts, database administrators, data scientists, and anyone else interested in learning how to analyze data using SQL.
Learning Outcome
By the end of this course, learners will be able to write complex SQL queries to retrieve and analyze data from databases. They will be skilled at handling structured data, interpreting complex datasets, and creating data-driven reports. Learners will also gain practical skills in SQL that can be directly applied in their workplaces.
Prerequisites
Participants should have a basic understanding of databases and a fundamental knowledge of basic SQL or any other programming language.
Course Content
Module 1: Review of SQL Basics
- Database Fundamentals
- Basic SQL Syntax
- Basic Select Statements
Module 2: Advanced SQL Queries
- Subqueries and Joins
- Aggregation and Group By
- Order By, Limit, and Top Clauses
Module 3: SQL for Data Analysis
- SQL Functions for Data Analysis
- Data Cleaning in SQL
- SQL for Time Series Analysis
Module 4: Complex Data Manipulation
- Advanced SQL Functions
- Complex SQL Queries
- Indexing and Query Optimization
Module 5: Case Study and Hands-on Exercise
- Real-World Data Analysis using SQL
- Best Practices
Certification
Q: Who should take this course?
A: This course is best suited for anyone who wants to leverage SQL for data analysis, including data analysts, business analysts, and data scientists.
Q: What if I don’t have any previous SQL experience?
A: It is recommended to have a basic understanding of SQL or any other programming language before taking this course. However, the first module reviews the SQL basics.
Q: Will there be hands-on exercises?
A: Yes, the course includes hands-on exercises and a case study to ensure learners can directly apply the skills they learn.
Q: Can I apply what I learn to my job?
A: Yes. The techniques and skills taught in this course are applicable across various industries, making them directly transferable to your role as a data analyst or related positions.
At this time, this course is available for private class and in-house training only. Please contact us for any inquiries.