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Advanced SQL Course is unfortunately unavailable

Thankfully we have 11 other SQL Classes for you to choose from. Check our top choices below or see all classes for more options.

SQL Level 1

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Unlock the power of SQL and relational databases with this comprehensive course. Learn how to write SQL queries, filter results, and combine data from multiple tables, all while gaining a strong foundation in database architecture. Master the fundamentals of SQL at Noble Desktop.

(372) Beginner 18 and older

SQL Level 2

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Enhance your SQL skills by mastering Outer Joins, NULL data, grouping, aggregate functions, filtering, and working with dates/times. Extract and analyze specific data from databases, turning raw information into valuable insights. Prerequisite: SQL proficiency equivalent to Noble Desktop's SQL Level 1 course.

(372) Intermediate 18 and older

SQL Level 3

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Take your SQL skills to the next level with this advanced course at Noble Desktop. Learn how to use subqueries, views, functions, stored procedures, and more to manipulate and analyze data in databases. Gain in-depth techniques that will prepare you for a job in data analysis or data science.

(372) Advanced 18 and older

Data Analytics Technologies Bootcamp

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

In this course, students will master Excel, SQL, and Tableau, some of the top data analytics tools. Here, students will gain the skills to organize, analyze, summarize, and visualize data, presenting actionable insights for effective decision-making. Comprehensive classroom training in Midtown Manhattan.

(372) All levels 18 and older
$1,949

8 sessions

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SQL Bootcamp

Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online

Master the art of turning raw data into actionable insights with SQL queries. This hands-on course will teach you how to filter, group, and join data, as well as use advanced techniques like subqueries and aggregate functions. Gain the skills to excel in any data-driven industry and make more informed decisions.

(372) All levels 18 and older
$975

3 sessions

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Advanced SQL Course

  • Advanced
  • 18 and older
  • $2,650
  • 1601 Broadway, New York, NY & Virtually Online
  • 22 hours & 30 minutes over 3 sessions

Start Dates (0)

  • $2,650
  • New York Education Center @ 1601 Broadway 6th Fl, New York, NY 10019
  • 22 hours & 30 minutes over 3 sessions
  • Course 929
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Class Description

Description

What you'll learn in this sql class:

Structured Query Language (SQL) is the cornerstone of all relational database operations. In this hands-on Advanced SQL course, you will learn how to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation.

You Will Learn How To

  • Maximize the potential of SQL to build powerful, complex, and robust SQL queries.
  • Query multiple tables with inner joins, outer joins, and self joins.
  • Construct recursive common table expressions.
  • Summarize data using aggregation and grouping.
  • Execute analytic functions to calculate ranks.
  • Build simple and correlated subqueries.
  • Thoroughly test SQL queries to avoid common errors.
  • Select the most efficient solution to complex SQL problems.

Prerequisites

This is an advanced course, and knowledge of the basics of SQL at the level of Learning Tree course 925, Introduction to SQL Course, or equivalent is assumed.

Advanced SQL Course Instructor-Led Outline

  • Module 1: Introduction and Overview
  • Module 2: Querying Multiple Tables
  • Module 3: Aggregate Functions
  • Module 4: Performing Extensive Analysis with Analytic Functions
  • Module 5: Building Subqueries
  • Module 6: Breaking Down Complex Queries

Refund Policy

If a customer would like to cancel or transfer their course, they must notify Coursehorse prior to 3 weeks before the start date of the course or within seven days of registration. On-Demand Courses cannot be cancelled once purchased and are not eligible for refund.

  • If a customer transfers to another course prior to 3 weeks before the start date or within seven days of registration of the course in which originally enrolled, 100% of any prepaid course tuition will be applied toward the course tuition for the subsequent course.
  • If a customer needs to cancel an enrollment 3 weeks prior to the start of the class or within seven days of registration, we will refund 95% of any prepaid course tuition for that enrollment.
  • If a customer does need to transfer or cancel a course within 3 weeks of the start date of the course or after seven days from the date of registration, a fee equal to 50% of the price of the course will be assessed for any standard attendances.

Attendances associated with a Learning Tree program will be assessed a $500 fee. Training Passports, Training Vouchers and Pay-As-You-Learn Vouchers cannot be used after their expiration dates, and a course cancellation or transfer by the customer will not extend a Training Passport, Training Voucher Pack or Pay-As-You-Learn Voucher Pack expiration date.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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Learning Tree International

Established in 1974, Learning Tree International is a leading provider of IT training and management training to business and government organizations worldwide. In addition, Learning Tree provides IT Workforce Optimization Solutions – a modern approach that improves the adoption of skills, and accelerates...

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Learning Tree International

Learning Tree International

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