How do I learn more advanced SQL

Best SQL classes and programs online

Data science is one of the fastest growing and most lucrative areas in the 21st century economy, so much so that it has been repeatedly referred to as "data science." The new oil. "According to Glassdoor, the average annual wage for data scientists is an impressive $ 117,345, while the highest incomes are over $ 150,000 per year.

If you are interested in the new boom, you need to familiarize yourself with data science technologies in use.

Learning SQL is a good place to start. SQL is the most widely used programming language by database developers and administrators. Unlike more general languages ‚Äč‚Äčlike Python and Java, SQL is used solely for database management. It is used daily by big data and statistics experts such as data analysts, data scientists, and statisticians.

If you've never learned a programming language before, studying a complex programming language like SQL can be daunting. Fortunately, there are tons of free and affordable online courses that can help you get the basics of working with SQL in professional environments. We've compiled a list of our most popular online courses that allow you to learn SQL from the comfort of your home.

1.The full SQL boot camp

"The Complete SQL Bootcamp" is a well-taught course for absolute beginners in SQL. The course covers PostgreSQL, a popular database management system. However, the SQL syntax is translated into any other major SQL database such as MySQL, Microsoft SQL Server or Oracle. Instructor Jose Portilla is clear and understandable when it comes to analyzing basic SQL and data analysis concepts. You will learn the most important database commands and how to create simple and complex queries. The course is aimed at beginners, but also covers some advanced commands like timestamp and extract, math functions, strings and operators, subqueries and self-join.

  • Study achievements: NO - Certificate of completion only
  • Price: $ 9.99 on sale (194.99 regular price)
  • Financial support or scholarships: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 8 hours, 30 minutes
  • Languages: English with subtitles in English, French, German, Indonesian, Italian, Japanese, Polish, Portuguese, Spanish and Turkish
  • Manufacturer:Udemy

Note: Prices for all courses listed in this article are as of the date of publication but are subject to change.

2. The ultimate MySQL boot camp: from SQL beginner to expert

Taught by Colt Steele, one of the most popular programming teachers on Udemy, this course teaches SQL using MySQL. According to stack overflow, the most common database used is MySQL, used by large companies like Twitter, Uber, and Airbnb, as well as government organizations that process enormous amounts of data, including NASA. The course itself is based on immersive and interactive learning. Right from the start, you will work on exercises for writing SQL code and creating complex projects such as: B. a simulated Instagram database. You will learn to work with huge amounts of data containing thousands of entries, and you will practice designing and implementing complex database schemes. This is a comprehensive course for all learners, whether you are a beginner, a seasoned developer interested in working with databases, or an entrepreneur looking to learn better data analysis skills.

  • Study achievements: NO - Certificate of completion only
  • Price: $ 9.99 on sale ($ 179.99 regular price)
  • Financial support or scholarships: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 20 hours, 30 minutes
  • Languages: English with subtitles in English, French, German, Indonesian, Italian, Japanese, Polish, Portuguese, Romanian and Spanish
  • Manufacturer:Udemy

3.SQL for data science

SQL for Data Science, offered by UC Davis through Coursera, is a comprehensive introduction to SQL and database management for beginners. The course is aimed at all students. You don't need any computer science or data science experience, just a desire to learn about SQL. The course first covers basic syntax rules and concepts before building queries and working with strings and numbers. Finally, you will learn different methods of analyzing and modifying data using SQL.

  • Study achievements: NO - course certificate only
  • Price: FREE to examine, but there is a fee to acquire and purchase a course certificate
  • Financial support or scholarship: YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: Approximately 20 hours (4 weeks with 3-5 hours / week recommended)
  • Languages: English with English subtitles
  • Manufacturer:Coursera

4. SQL for data analysis

This free course from Udacity focuses on using SQL to extract and analyze data from large databases. In six lessons you will learn basic SQL commands and general functions such as extracting data, joining tables and performing aggregations. The second half of the course covers more complex functions used by data scientists on a daily basis. For example, you will learn how to use subqueries to run multiple queries together and how to use temporary tables to access tables with multiple queries. You will also learn how to use SQL for data cleansing, an important task that data scientists may spend more than half their time on.

  • Study achievements: NO
  • Price: FREE
  • Financial support or scholarships:YES
  • Mobile learning: NO
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: About 4 weeks
  • Languages: English
  • Manufacturer:Udacity

5.Databases and SQL for data science

This course is a beginner's course that emphasizes a practical approach to learning. The course participants work with real data sets right from the start and practice the basic SQL code. The course consists of four modules, including a final project in which students are tasked with analyzing data from several real-world data sets for the city of Chicago. You will learn basic SQL syntax as well as advanced and advanced concepts such as: For example, searching through data with string patterns and ranges, and working with multiple tables using join operations. You will also use Python to connect to databases and analyze data. This course is offered by IBM through Coursera and is part of two Coursera programs - the IBM Data Science Professional Certificate and the Introduction to the Data Science Specialization.

  • Study achievements: NO - course certificate only
  • Price: FREE to examine, but there is a fee to acquire and purchase a course certificate
  • Financial support or scholarship: YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: Approximately 11 hours (4 weeks with 2-4 hours / week recommended)
  • Languages: English with subtitles in English, Korean and Arabic
  • Manufacturer:Coursera

6. SQL - MySQL for data analytics and business intelligence

This course teaches SQL with MySQL starting with the basics. It is a beginner's course with introductory sections on SQL theory, basic data science concepts, the structure of a database, and database terminology. If you've never worked with a database before, this steady, thorough tutorial will help you understand the basic concepts you need as you dig deep into SQL programming. As the course progresses, you will learn some advanced concepts including different types of MySQL variables, indexes, triggers, and the CASE statement. This course also includes lessons on using SQL with Tableau, popular data visualization software.

  • Study achievements: NO - Certificate of completion only
  • Price: $ 9.99 on sale ($ 194.99 regular price)
  • Financial support or scholarships: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 9 hours, 30 minutes
  • Languages: English with subtitles in English, Indonesian, Italian, Polish, Portuguese, Romanian and Spanish
  • Manufacturer:Udemy

7. SQL Server - Master Class in Data Analysis

This course of SQL Lessons starts with the basics, but is best for intermediate and experienced SQL users who are interested in relearning the basics or nuances of learning that they may have missed along the way. You will learn tips and tricks for analyzing data as well as SQL analysis functions such as LAG (), NTILE (), OVER, PARTITION and more. You will learn how to change and define data with DML and DDL. You will also learn some advanced SQL analysis concepts used in real world data analysis scenarios, such as: B. Cohort analysis and customer acquisition analysis. In total, the course includes nearly eight hours of video content as well as a series of exercises and challenges.

  • Study achievements: NO - Certificate of completion only
  • Price: $ 9.99 on sale ($ 174.99 regular price)
  • Financial support or scholarships: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 7 hours, 30 minutes
  • Languages: English with English subtitles
  • Manufacturer:Udemy

8. Introduction to Structured Query Language (SQL)

This course teaches SQL from the ground up, starting with installing a text editor, MAMP or XAMPP, creating a MySQL database, and writing a PHP program. In the following sections you will start with the basic SQL functions and learn about the structure of the syntax. As you progress through the course, you will gradually begin to learn more advanced concepts such as designing complex databases with multiple tables, foreign keys, and JOIN and modeling many-to-many relationships. This course is included in the University of Michigan. Web applications for all Coursera specialization.

  • Study achievements: NO - course certificate only
  • Price: FREE to examine, but there is a fee to acquire and purchase a course certificate
  • Financial support or scholarship: YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: About 2 months (10 hours / week recommended)
  • Languages: English with subtitles in English, Korean and Serbian
  • Manufacturer:Coursera

9.Data wrangling, analysis and AB testing with SQL

This course is in many ways a continuation of UC Davis and Coursera's "SQL for Data Science" course. If the previous course is focused on teaching SQL fundamentals, this course is based on practicing real world data analysis scenarios. This is where you learn basic SQL - Know functions that are covered in "SQL for Data Science" and put them into practice in four case studies for data science investigation. You will learn how to create trustworthy analyzes of new, possibly unreliable data sets, organize unfiltered data into cleaned data sets, cause problems in SQL solve and answer complex, vague and confusing data questions, and finally, a basic AB testing system to prove or disprove a hypothesis about user behavior - this is an excellent course for students who are knowledgeable about SQL and willing to learn about real world getting your hands dirty with data science problems .

  • Study achievements: NO - course certificate only
  • Price: FREE to examine, but there is a fee to acquire and purchase a course certificate
  • Financial support or scholarship: YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: Approximately 20 hours (4 weeks with 2-5 hours / week recommended)
  • Languages: English with English subtitles
  • Manufacturer:Coursera

10 Develop SQL databases

Developed by Microsoft and taught by Microsoft teachers, this course focuses on using SQL to create high quality databases. This course is recommended for students who are already familiar with the basics of SQL and want to learn practical tips and tricks for creating databases. You will learn to create and implement various database objects, including views, stored procedures, and columnstore indexes. You will also learn the principles of database creation, such as: B. designing logical tables and ensuring data integrity.

  • Study achievements: NO - Verified certificate only
  • Price: FREE to check, but there is a 99 fee to acquire and purchase a verified certificate
  • Financial support or scholarships:YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 4 weeks (2-4 hours per week)
  • Languages: English with English subtitles
  • Manufacturer:EDX

11SQL Advanced

This advanced SQL course focuses on concepts that are regularly used by seasoned data scientists and developers. You will learn how to use materialized views to replicate data across servers, optimize performance by partitioning tables, and use Analytic SQL to aggregate, analyze, report, and model data. You will also learn more about hierarchical data and how to create hierarchical queries and tree-structured reports. The course also includes sections on other advanced concepts such as regular expressions and the GROUP BY clause. In short, this is a strong course for experienced SQL users who want to learn lesser-known and more complex SQL functions.

  • Study achievements: NO - Certificate of completion only
  • Price: $ 9.99 on sale ($ 149.99 regular price)
  • Financial support or scholarships: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 4 hours, 30 minutes
  • Languages: English with English subtitles
  • Manufacturer:Udemy

12Advanced SQL for data scientists

This Lynda course focuses on advanced SQL concepts and hands-on data science assignments that are often used in real-world data science situations. The course provides a brief overview of the basics of SQL and then covers five major data science topics: statistics in SQL, data preparation, advanced filtering and data aggregation, windowing and preparing data for analysis using common analysis tools. In addition, you will get to know other information relevant to the field, e.g. B. ANSI standards for databases.

  • Study achievements: NO - Certificate of completion only
  • Price: One month free trial and then $ 29.99 for the monthly plan OR $ 19.99 for the yearly billed monthly plan
  • Financial support or scholarship: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 1 hour, 24 minutes
  • Languages: English with English subtitles
  • Manufacturer:Lynda

13Advanced SQL for query optimization and performance optimization

Even experienced SQL programmers struggle with slow, lengthy queries that consume CPU and memory resources. This course focuses on strategies for building fast, streamlined SQL queries. You will learn what goes on behind the scenes when SQL executes queries. This allows you to analyze query execution plans and troubleshoot problems when you encounter long-running or poorly performing queries. Participants will learn about some PostgreSQL tools and data modeling strategies that are useful for optimizing queries.You will also learn about common problems building queries and how you can solve them using various types of indexes and methods, such as partitioning and materialized views, to improve query performance.

  • Study achievements: NO - Certificate of completion only
  • Price: One month free trial and then $ 29.99 for the monthly plan OR $ 19.99 for the yearly billed monthly plan
  • Financial support or scholarship: NO
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: 1 hour 44 minutes
  • Languages: English with English subtitles
  • Manufacturer:Lynda

14 Modern big data analysis with SQL specialization

This Coursera specialization takes a modern and future-oriented approach to data management and focuses on working with large amounts of data stored in distributed clusters and in cloud storage. To query these types of datasets, you need to use a type of SQL engine called Distributed Query Engines. This specialization focuses on the use of two of these engines: Hive and Impala. It consists of three courses that begin with a course on the concepts of big picture data management. In this course you will learn about the structures of different types of databases and the special requirements of big datasets. The following explains the basics of the SQL syntax in Hive and Impala as well as any differences to other common database management systems such as MySQL and PostgreSQL. Finally, you will learn how to manage large datasets. You will learn to load them into clusters and cloud storage, organize the data, and run queries using SQL engines.

The 3 courses:

Course 1: Basics for Big Data Analysis with SQL

Course 2: Analyze Big Data with SQL

Course 3: Manage big data in clusters and cloud storage

  • Study achievements: NO - Certificate of specialization only
  • Price: FREE to examine, but there is a fee to acquire and purchase a Certificate of Specialization
  • Financial support or scholarship: YES
  • Mobile learning: YES
  • Self-directed learning: YES
  • Flexible deadlines: YES
  • Time required for completion: Approximately 2 months (9 hours per week recommended)
  • Languages: English with English subtitles
  • Manufacturer:Coursera

For more online courses, see TUN's List of Curated Classes, or use the Online Classes Search Engine to find the best online courses in each subject.