SQL (Structured Query Language) is a domain-specific programming language designed for managing data held in a relational database management system (RDBMS). It enables you to access and manipulate databases. SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987. SQL is one of the trending job skills in Coursera's 2020 Global Skills Index (GSI). Download the 2020 edition of the GSI report .

We recommend these courses for people with no prior experience that want to learn to use SQL in the context of data structures for data science-related implementation. You may be interested in familiarizing yourself with SQL more deeply to use it to access big data databases within your organization, or to use it for data science or data engineering needs. Whatever your end goal, this collection will cover the fundamentals of SQL and introduce you to its more advanced uses. There are several certifications that show your competency in SQL . The first step towards certification is building up your expertise. SQL knowledge is easily accessible online through some of these courses.

What kind of jobs can you get with SQL?

According to Burning Glass, there were ~1M job postings in the last 12 months requiring SQL as a skill, offering an annual median salary of $95K. Common job titles include Software Developer, Database Administrator, Business Intelligence Analyst, and Web Developer. There are also functional role titles like Management Analyst, Financial Analyst and Marketing Manager need SQL for day-to-day work interacting with enterprise data warehouses.

What skills or experience do I need to already have, before starting to learn SQL?

You do not have to have any previous programming experienced before starting to learn SQL, but you'll likely understand it more quickly if you already have experience with JavaScript, C#, or PHP. It's helpful to have a fundamental understanding of what data is and experience working with it as well. You may also find it beneficial to learn a relational database management system like RDBMS or ER Model before learning SQL, which is a query language for standardized relational databases.

What topics can I study that are related to SQL?

Some topics related to SQL that you can study—and can subsequently help you advance your career as an SQL developer—include data architecture, MySQL, Informatica, and online analytical processing (OLAP). Database optimization, database architecture, cubes, and database tuning are also related to SQL. You can also consider studying Apache Hadoop, database schemas, dimensional and relational modeling, and SQL server analysis services (SSAS).

How do I know if learning SQL is right for me?

If you want to start or advance your career as a database developer, analyst, or administrator, learning SQL is likely right for you. Learning SQL will help you become proficient in developing and maintaining information solutions and complex databases. If you're a logical thinker and interested in data, learning SQL may be a good fit for you as well. If you currently use a spreadsheet program like Excel or Google Sheets to manage large sets of data, learning SQL may be right for you, since it allows you to access data faster and more easily as well as handle bigger data sets.

What types of places hire people with a background in SQL?

Places that hire people with a background in SQL include data platforms on the internet like SurveyMonkey and Expedia Group, according to GlassDoor , and computer hardware and software companies, such as Microsoft, VMware, and Xero. IT service firms, such as Dell Technologies and Kforce, also hire people skilled in SQL, as do telecommunications companies like Verizon. You'll also find people with a background in SQL hired by investment and banking organizations, such as Fannie Mae, Bank of America, J.P. Morgan, and LPL Financial.

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Результатов для запроса ''sql': 918

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IBM Skills Network
Advanced Data Science with IBM
Получаемые навыки: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science
4.3
(рецензий: 2.9k)
Advanced · Specialization · 3-6 Months
Meta
Advanced MySQL Topics
Получаемые навыки: Databases, SQL, Statistical Programming, Accounting, Business Analysis, Computer Programming, Data Analysis, Data Management, Database Administration, Database Application, Database Theory, Entrepreneurship, Exploratory Data Analysis, Financial Analysis, Javascript, Market Research, Mathematics, Probability & Statistics, Research and Design, Software Architecture, Software Engineering, Theoretical Computer Science, Web Development
4.6
(рецензий: 39)
Intermediate · Course · 1-4 Weeks
University of Colorado Boulder
Advanced Business Analytics
Получаемые навыки: Data Analysis, Business Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Machine Learning, Regression, Basic Descriptive Statistics, Exploratory Data Analysis, Machine Learning Algorithms, Plot (Graphics), Database Design, Database Theory, Databases, Data Management, Big Data, Correlation And Dependence, Data Analysis Software, Data Visualization, Markov Model, Data Model, Data Structures, Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Dimensionality Reduction, Mathematics, Probability Distribution, Spreadsheet Software, Statistical Visualization, Theoretical Computer Science, Business Intelligence, Cloud Computing, Financial Analysis, SQL, Statistical Programming
4.6
(рецензий: 4.9k)
Intermediate · Specialization · 3-6 Months

Результаты поиска, связанного с sql

sql for data science

sql: a practical introduction for querying databases

sql joins

sql window functions for analytics

10 самых популярных курсов по запросу sql

Performing Data Aggregation using SQL Aggregate Functions: Coursera Project Network
Mastering SQL Joins: Coursera Project Network
Scripting with Python and SQL for Data Engineering: Duke University
Bancos de dados e SQL para Ciência de Dados: IBM Skills Network
Retrieve Data using Single-Table SQL Queries: Coursera Project Network
SQL für Data Science: University of California, Davis
Advanced Data Science with IBM: IBM Skills Network
Working with Subqueries in SQL: Coursera Project Network
Advanced MySQL Topics: Meta
SQL Functions: Coursera Project Network

Навыки, которые вы можете получить здесь: Data Analysis

Аналитика (85)

Большие Данные (64)

Программирование На Языке Python (47)

Бизнес-аналитика (40)

Программирование На Языке R (37)

Статистический Анализ (36)

SQL (33)

Модель Данных (29)

Интеллектуальный Анализ Данных (27)

Разведочный Анализ Данных (26)

Моделирование Данных (21)

Манипулирование Данными (20)

Часто задаваемые вопросы на тему SQL

SQL (Structured Query Language) is a domain-specific programming language designed for managing data held in a relational database management system (RDBMS). It enables you to access and manipulate databases. SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987.
SQL is one of the trending job skills in Coursera's 2020 Global Skills Index (GSI). Download the 2020 edition of the GSI report.‎
We recommend these courses for people with no prior experience that want to learn to use SQL in the context of data structures for data science-related implementation. You may be interested in familiarizing yourself with SQL more deeply to use it to access big data databases within your organization, or to use it for data science or data engineering needs. Whatever your end goal, this collection will cover the fundamentals of SQL and introduce you to its more advanced uses.
There are several certifications that show your competency in SQL. The first step towards certification is building up your expertise. SQL knowledge is easily accessible online through some of these courses.‎
According to Burning Glass, there were ~1M job postings in the last 12 months requiring SQL as a skill, offering an annual median salary of $95K. Common job titles include Software Developer, Database Administrator, Business Intelligence Analyst, and Web Developer. There are also functional role titles like Management Analyst, Financial Analyst and Marketing Manager need SQL for day-to-day work interacting with enterprise data warehouses.‎
You do not have to have any previous programming experienced before starting to learn SQL, but you'll likely understand it more quickly if you already have experience with JavaScript, C#, or PHP. It's helpful to have a fundamental understanding of what data is and experience working with it as well. You may also find it beneficial to learn a relational database management system like RDBMS or ER Model before learning SQL, which is a query language for standardized relational databases.‎
Some topics related to SQL that you can study—and can subsequently help you advance your career as an SQL developer—include data architecture, MySQL, Informatica, and online analytical processing (OLAP). Database optimization, database architecture, cubes, and database tuning are also related to SQL. You can also consider studying Apache Hadoop, database schemas, dimensional and relational modeling, and SQL server analysis services (SSAS).‎
If you want to start or advance your career as a database developer, analyst, or administrator, learning SQL is likely right for you. Learning SQL will help you become proficient in developing and maintaining information solutions and complex databases. If you're a logical thinker and interested in data, learning SQL may be a good fit for you as well. If you currently use a spreadsheet program like Excel or Google Sheets to manage large sets of data, learning SQL may be right for you, since it allows you to access data faster and more easily as well as handle bigger data sets.‎
Places that hire people with a background in SQL include data platforms on the internet like SurveyMonkey and Expedia Group, according to GlassDoor, and computer hardware and software companies, such as Microsoft, VMware, and Xero. IT service firms, such as Dell Technologies and Kforce, also hire people skilled in SQL, as do telecommunications companies like Verizon. You'll also find people with a background in SQL hired by investment and banking organizations, such as Fannie Mae, Bank of America, J.P. Morgan, and LPL Financial.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.