Online or onsite, instructor-led live SQL (Structured Query Language) training courses demonstrate through hands-on practice the necessary skills to extract and analyse data from any database and create reports, and how to build advanced queries and add, update and delete data, tables, views and indexes.
SQL training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Quito onsite live SQL trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Quito - Av Eloy Alfaro
5915 Ave, Av Eloy Alfaro E6-24 y, Quito, ecuador, 170102
Give your latest ideas a boost in Batán Alto with the flexible workspaces at 5915 Av Eloy Alfaro. Enjoy inspiring views over an eclectic cityscape, set against the spectacular backdrop of Quito's Andean foothills.
This instructor-led, live training in Quito (online or onsite) is aimed at beginner-level to intermediate-level data analysts, database professionals, and software developers who wish to learn SQL to manage databases effectively.
By the end of this training, participants will be able to:
Understand and use fundamental SQL commands and queries.
Create and manipulate tables and databases.
Use SQL to sort, filter, and summarize data.
Implement more complex operations like joins, subqueries, and set operations.
Apply intermediate techniques such as indexes, views, stored procedures, and triggers.
This instructor-led, live training in Quito (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.
By the end of this training, participants will be able to:
Understand the concept and importance of Analytic Functions.
Apply various Analytic Functions to solve complex analytical problems.
Combine Analytic Functions with other SQL features for comprehensive data analysis.
Optimize queries for better performance using Analytic Functions.
This instructor-led, live training in Quito (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.
By the end of this training, participants will be able to:
Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
Get a refresher on the fundamentals of Python and SQL.
Perform data pre-processing techniques in Python.
Learn how to connect Python and SQL for data analysis.
Create insightful data visualizations and charts with Tableau.
This SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between SQL dialects (Oracle, T-SQL, ANSI)
practical skills for writing queries
This SQL course deals with Microsoft Access dialect of SQL.
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between T-SQL and other dialects
practical skills for writing queries
This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.
This instructor-led, live training in Quito (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.
By the end of this training, participants will be able to:
Perform advanced querying techniques using unions, subqueries, and complex joins.
Add, update, and delete data, tables, views, and indexes with precision.
Ensure data integrity through transactions and manipulate database structures.
Create and manage databases efficiently for robust data storage and retrieval.
Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following:
Use queries to return complex result sets
Manage database objects to aid query performance
Tune queries to perform more efficiently
This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.
Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following:
Construct queries to extract and filter data from an SQL Server database
Create summarised results
Change, derive and format data to suit the required output
Change data and maintain database components and definitions
This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data.
This course has been created for people already acquainted with SQL. The course introduces you into secrets common to all SQL databases as well as MySQL specific syntax, functions and features.
In this instructor-led, live training in Quito, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.
Format of the Course Interactive lecture and discussion. Lots of exercises and practice. Hands-on implementation in a live-lab environment.
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:
how to write SQL queries
what relational databases are and how we can use them
what are relations and how to create them
the structure of data
differences between SQL dialects (Oracle, T-SQL, ANSI)
practical skills for writing queries
This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases.
This instructor-led, live training in Quito (online or onsite) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.
By the end of this training, participants will be able to install, create, manage, manipulate, and monitor databases using SQL and database management systems.
The practical examples, and that they already had more realistic information prepared in the DB.
Enrique Pruneda Sandoval - GEODIS
Course - SQL language in MSSQL
Machine Translated
Philip was very kind, his style of explaining SQL concepts is outstanding.
I liked that he give us information and answered to questions which were not part of this course.
Stefan
Course - SQL in SQL Server
analytical functions
khusboo dassani - Tech Northwest Skillnet
Course - SQL Advanced
The training materials.
Mona Dobre - DB Global Technology
Course - SQL Advanced level for Analysts
They way the instructor teaches is very informative and effective especially on the 2nd day when topics are a bit advanced.
Aynanie Kiram - Aarki, Inc.
Course - SQL DATABASE MANAGEMENT AND DESIGN - Bespoke
Interactive exercises
Matthew Viner - Thames Water Utilites Ltd
Course - Transact SQL Basic
The course built lesson to lesson, and the pacing was a big deal for me.
Bradford Moore - Regis College
Course - SQL in MySQL
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
The Trainer Subject Knowledge
Rares Serea - eMAG IT Research
Course - Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems
The ability to ask questions at any time and the more informal / less structured style. This allowed us to pursue the areas of knowledge we were most interested in.
Jim Lane
Course - Transact SQL Advanced
The trainer, he was knowledgeable, engaging, and easy to learn from. He encouraged a lot of hands-on learning.
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