Skills you'll gain: Security Engineering, Computer Science, Cryptography, Theoretical Computer Science, Software Security, Cyberattacks, Design and Product, Human Computer Interaction, Product Design, Security Strategy, User Experience, User Research, Computer Architecture, Hardware Design, Security Software, Business Psychology, Mathematical Theory & Analysis, Mathematics, Operating Systems, Research and Design, Software Engineering, System Security, Systems Design, User Experience Design
Intermediate · Specialization · 3-6 Months
Skills you'll gain: Computer Programming Tools, Data Analysis Software, Data Structures, Machine Learning Software, Software Visualization, Python Programming, Statistical Programming, Data Visualization Software, R Programming, Data Science, Devops Tools, Machine Learning Algorithms, SPSS, Computer Programming, Machine Learning
Beginner · Course · 1-4 Weeks
Skills you'll gain: Business Psychology, Computer Programming, Customer Relationship Management, Customer Success, Data Management, Decision Making, Entrepreneurship, Finance, Human Resources, Java Programming, Leadership and Management, Marketing, Mobile Development, Operating Systems, Sales, Security Engineering, Software Security, Statistical Programming, Strategy and Operations, System Security, Training
Mixed · Course · 1-4 Weeks
If you're looking for the best free SQL courses available, try auditing one of these courses SQL for Data Science, Intro to SQL, The Structured Query Language (SQL), SQL: A Practical Introduction for Querying Databasesor SQL for Data Science. In the audit version, you can assess most of the material but will not be able to submit assignments or receive grades or a certificate for your work unless you upgrade."
If you're looking for a great place to start learning SQL for data science, then you should check out a few of Coursera's top rated beginner courses include SQL for Data Science, The Structured Query Language SQL, SQL: A Practical Introduction for Querying Databases, SQL for Data Science Part 1, and SQL for Data Science Part 2. These courses offer step-by-step guidance in using the fundamentals of SQL for analyzing data, querying databases, and more!
One of the best advanced SQL courses is the Manipulating Data with SQL course. In this course, you will learn the fundamentals of SQL, practice writing queries, and build a foundation of data manipulation skills. Another great course is the Scripting with Python and SQL for Data Engineering course offered by Duke University. This course covers how to work with SQL in a Python environment and will help you master SQL for data engineering. Additionally, you should consider taking the Performing Data Aggregation Using SQL Aggregate Functions course and the Mastering SQL Joins course to learn even more advanced SQL techniques. Finally, the Working with Subqueries in SQL course is a great way to become proficient with subqueries.
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.
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.