Learn Intermediate SQL for Data Analysis in Layman Terms!
What you'll learn
- Master SQL aggregate functions like COUNT, SUM, and AVG to analyze large datasets efficiently and draw meaningful insights for business decisions.
- Understand and apply advanced SQL JOIN operations to combine data from multiple tables, enhancing your data analysis capabilities.
- Leverage SQL comparison operators and logical expressions to filter and segment data for deeper analysis and targeted insights.
- Build proficiency in intermediate SQL techniques, laying the foundation for complex queries and advanced data analysis in real-world scenarios.
Requirements
- Basic understanding of SQL: Familiarity with SQL fundamentals, including basic queries, filtering, and sorting data.
- Completion of my previous course, "Learn SQL for Data Analysis in Layman Terms for Non-Techies!"
- Access to a SQL environment: Students should have access to a SQL database environment such as MySQL, SQL Server, or PostgreSQL for hands-on practice.
- Willingness to learn: A keen interest in advancing SQL skills and applying them to data analysis and business intelligence scenarios.
Description
This SQL for Data Analysis course is designed for business professionals, especially those involved in data analytics and business intelligence. If you're looking to learn SQL for data analysis and want to improve your ability to make data-driven decisions, this course is for you. We will dive deep into the world of SQL for business analysts, teaching you the essential skills to efficiently analyze, manipulate, and visualize data.
Throughout the course, you'll gain hands-on experience in using SQL for data analysis with real-world examples. You'll learn to work with SQL for reporting and use advanced techniques such as aggregate functions, GROUP BY, CASE statements, and SQL joins. These skills are crucial for anyone looking to excel in data analysis and data analytics with SQL. We will also focus on practical applications that will allow you to generate insightful reports and make informed business decisions.
This course is not for SQL developers, but for those looking to use SQL in a BI context. You'll focus on analysis, reporting, and visualization—skills that are in high demand for business analysts and data-driven professionals.
Whether you're starting your career in SQL for business intelligence or you're enhancing your existing skillset, this course will equip you with the knowledge and practical skills you need for data analysis using SQL. By the end of the course, you'll be able to apply SQL to real-world business problems, creating actionable insights to drive business growth.
Who this course is for:
- Aspiring Data Analysts looking to advance their SQL skills.
- Business Intelligence professionals aiming to enhance data analysis capabilities.
- Non-Techies who have completed the beginner SQL course and want to tackle more complex queries.
- Students and professionals in non-IT fields who need to leverage SQL for data-driven decision-making.
Instructor
- 4.3 Instructor Rating
- 62 Reviews
- 1,692 Students
- 3 Courses
I am Prem, Founder of Layman Data Academy and a Manager with over 12 years of experience specializing in Business Intelligence within the field of Digital Analytics. My expertise spans Digital Marketing, Analytics, Data Visualization, Data Analysis, and Data Storytelling.
Over the years, I have honed my skills in analyzing and visualizing data using tools like Tableau, Sisense, Adobe Analytics, and MS Excel. Additionally, I have deepened my understanding of data analysis and visualization through learning Data-Driven Decision Making (DDDM) concepts from the University at Buffalo, which has enriched my professional journey.
Currently, I work at a prominent Big 4 company and am passionate about making data analysis accessible to all. Through my courses, I aim to simplify complex topics into practical, actionable skills for learners from all backgrounds, explained in layman’s terms.
Join me in mastering data-driven insights and taking your skills to the next level!