February 2018
Beginner to intermediate
2h 49m
English
Closed Captioning available in English
Overview
In this 2-hour course, you will master advanced SQL techniques relevant for business intelligence and analytics. Through hands-on exercises, you'll learn to apply window functions, time-based analysis, and customer value metrics to extract deeper insights from your data.
What I will be able to do after this course
- Install, configure, and utilize PostgreSQL for effective data analysis.
- Master the use of window functions for solving advanced data analysis problems.
- Carry out customer lifetime value (LTV) analysis and profitability assessments.
- Use advanced querying techniques including common table expressions and subqueries.
- Seamlessly transition from SQL queries to data visualization software like Tableau.
Course Instructor(s)
Jeffrey James is a seasoned data analyst and SQL expert with years of practical experience. Having worked with diverse datasets and industries, Jeffrey understands the challenges data analysts face. His teaching style emphasizes clarity, hands-on practice, and real-world application, ensuring learners can directly apply knowledge post-training.
Who is it for?
This course is ideal for data analysts, developers, and data enthusiasts with a foundational knowledge of SQL looking to deepen their expertise. It caters to professionals seeking to refine their ability to write complex queries and derive actionable insights. If you're aiming to build stronger skills in SQL for advanced analysis and decision-making support, this course is for you.
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