SQL for Data Science from Coursera

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.

This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results.

You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes.

Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!

What's inside

Syllabus

Getting Started and Selecting & Retrieving Data with SQL

In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. You will be able to compare and contrast the roles of a database administrator and a data scientist, and explain the differences between one-to-one, one-to-many, and many-to-many relationships with databases. You will be able to use the SELECT statement and talk about some basic syntax rules. You will be able to add comments in your code and synthesize its importance.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a primer in the fundamentals of SQL and working with data

Develops skills in retrieving and working with data

Builds a strong foundation for beginners in SQL

Strengthens existing foundation for intermediate learners in SQL

Helps learners ask the right questions and come up with good answers for data science purposes

Offers hands-on practice using real-world programming assignments

Reviews summary

Fundamentals of sql for data science

According to students, this course offers a largely positive introduction to SQL specifically tailored for data science applications. Many learners found the foundational concepts and syntax explained clearly, making it accessible for complete beginners. The practical exercises and labs were frequently highlighted as particularly useful for reinforcing learning and gaining hands-on experience. While strong for beginners, some reviewers noted that the course focuses primarily on basic SQL operations and may require supplementary learning for more advanced techniques or complex real-world data scenarios relevant to a professional context.

Moves at a comfortable speed for beginners.

"The course pacing felt just right, allowing enough time to absorb each concept before moving on."

"Didn't feel rushed, which is great when learning something new."

"Steady progression from simple queries to more complex ones like subqueries and joins."

"The speed was comfortable for someone brand new to SQL."

Focuses SQL use cases in data science.

"I appreciated how the course specifically framed SQL concepts from a data science perspective."

"The examples and applications shown were clearly relevant to tasks a data scientist would perform."

"It's not just generic SQL; it's geared towards pulling and manipulating data for analysis, which is perfect."

"Helped me understand how SQL fits into the data science workflow."

Concepts are easy to grasp and well-explained.

"The instructor did a great job explaining complex topics like JOINs and subqueries in a simple, understandable way."

"Lectures were concise and easy to follow, making the syntax and logic clear."

"I appreciated how the material was presented; it wasn't overly technical or confusing for a newcomer."

"Explanations are clear and straight to the point."

Exercises help solidify learning with practice.

"The coding labs and exercises were incredibly valuable for putting what I learned into practice."

"The practical application through the assignments was the best part. It helped me remember the syntax."

"Lots of hands-on examples that are relevant to data science tasks."

"Working with actual databases in the labs made the concepts stick."

Strong starting point for no prior SQL knowledge.

"This course is a perfect starting point if you have absolutely no prior experience with SQL. It breaks down concepts well."

"I had never written a SQL query before this course, and now I feel confident handling basic data retrieval tasks."

"It's truly designed for beginners, covering all the necessary fundamentals to get you started in data science with SQL."

"Assumes no prior knowledge and builds from there logically."

Primarily covers fundamental SQL commands.

"While great for beginners, those with some SQL experience might find it moves a bit slowly and doesn't cover much beyond the basics."

"It gives a solid foundation, but don't expect to become an SQL expert for complex data science problems from this course alone."

"Covers essential commands like SELECT, WHERE, JOINs, but lacks depth on performance tuning or advanced features."

"Useful for getting started, but plan to supplement it with more advanced material for a data science career."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in SQL for Data Science with these activities:

Review SQL fundamentals

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Reviewing the basics of SQL will help you build a strong foundation for this course.

Browse courses on SQL

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Read a tutorial on SQL basics
Complete a few practice exercises

Practice writing SQL queries

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Regular practice will help you develop proficiency in writing SQL queries.

Browse courses on SQL Queries

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Dedicate time each week to practice
Find a set of practice exercises
Review your answers and identify areas for improvement

Show all two activities

Career center

Learners who complete SQL for Data Science will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is someone who is responsible for collecting, analyzing, and interpreting large amounts of data. They use their skills in statistics, programming, and machine learning to build models that can help businesses make better decisions. This course will help you build a strong foundation in SQL, which is a critical skill for any Data Scientist. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of data science, including data mining, machine learning, and statistical analysis.

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Database Administrator

A Database Administrator is responsible for the maintenance and performance of databases. They work with database software to ensure that it is running smoothly and that data is being stored and retrieved efficiently. This course will help you build a strong foundation in SQL, which is a critical skill for any Database Administrator. You will learn how to use SQL to create and manage databases, as well as how to optimize database performance.

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Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data. This course will help you build a strong foundation in SQL, which is a critical skill for any Data Analyst. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of data analysis, including data mining, machine learning, and statistical analysis.

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Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They use their skills in data analysis, process modeling, and communication to develop solutions that can help businesses achieve their goals. This course will help you build a strong foundation in SQL, which is a critical skill for any Business Analyst. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of business analysis, including process modeling, requirements gathering, and solution design.

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Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. They use their skills in programming, software design, and testing to create software that meets the needs of users. This course will help you build a strong foundation in SQL, which is a critical skill for any Software Engineer. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of software engineering, including software design, coding, and testing.

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Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making recommendations to investors. They use their skills in accounting, finance, and data analysis to evaluate the performance of companies and make investment decisions. This course will help you build a strong foundation in SQL, which is a critical skill for any Financial Analyst. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of financial analysis, including financial statement analysis, valuation, and investment analysis.

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Market Researcher

A Market Researcher is responsible for collecting and analyzing data about markets and consumers. They use their skills in research methods, data analysis, and marketing to identify trends and opportunities. This course will help you build a strong foundation in SQL, which is a critical skill for any Market Researcher. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of market research, including research design, data collection, and data analysis.

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Operations Research Analyst

An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve problems in business and industry. They use their skills in optimization, simulation, and data analysis to develop solutions that can help businesses improve their efficiency and profitability. This course will help you build a strong foundation in SQL, which is a critical skill for any Operations Research Analyst. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of operations research, including optimization, simulation, and data analysis.

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Project Manager

A Project Manager is responsible for planning, organizing, and executing projects. They use their skills in project management, communication, and leadership to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. This course will help you build a strong foundation in SQL, which is a critical skill for any Project Manager. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of project management, including project planning, scheduling, and budgeting.

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Actuary

An Actuary is responsible for assessing and managing financial risk. They use their skills in mathematics, statistics, and finance to develop models that can help businesses and individuals make informed decisions about risk. This course will help you build a strong foundation in SQL, which is a critical skill for any Actuary. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of actuarial science, including risk assessment, insurance pricing, and financial modeling.

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Data Engineer

A Data Engineer is responsible for designing, building, and maintaining data pipelines. They use their skills in data engineering, software engineering, and data science to create systems that can process and analyze large amounts of data. This course will help you build a strong foundation in SQL, which is a critical skill for any Data Engineer. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of data engineering, including data modeling, data warehousing, and data integration.

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Information Security Analyst

An Information Security Analyst is responsible for protecting an organization's information systems from cyber attacks. They use their skills in cybersecurity, network security, and data analysis to identify and mitigate threats to information systems. This course will help you build a strong foundation in SQL, which is a critical skill for any Information Security Analyst. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of information security, including network security, data security, and risk management.

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Computer Scientist

A Computer Scientist is responsible for designing, developing, and implementing computer systems. They use their skills in computer science, software engineering, and mathematics to create systems that can solve complex problems. This course will help you build a strong foundation in SQL, which is a critical skill for any Computer Scientist. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of computer science, including algorithms, data structures, and operating systems.

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Statistician

A Statistician is responsible for collecting, analyzing, and interpreting data. They use their skills in statistics, mathematics, and data analysis to develop models that can help businesses and individuals make informed decisions. This course will help you build a strong foundation in SQL, which is a critical skill for any Statistician. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of statistics, including probability, statistical inference, and regression analysis.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models. They use their skills in machine learning, data science, and software engineering to create models that can solve complex problems. This course will help you build a strong foundation in SQL, which is a critical skill for any Machine Learning Engineer. You will learn how to use SQL to query databases, analyze data, and create reports. This course will also introduce you to the basics of machine learning, including supervised learning, unsupervised learning, and deep learning.

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