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.

Filtering, Sorting, and Calculating Data with SQL

In this module, you will be able to use several more new clauses and operators including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY. You will be able to use the wildcard function to search for more specific or parts of records, including their advantages and disadvantages, and how best to use them. You will be able to discuss how to use basic math operators, as well as aggregate functions like AVERAGE, COUNT, MAX, MIN, and others to begin analyzing our data.

Subqueries and Joins in SQL

In this module, you will be able to discuss subqueries, including their advantages and disadvantages, and when to use them. You will be able to recall the concept of a key field and discuss how these help us link data together with JOINs. You will be able to identify and define several types of JOINs, including the Cartesian join, an inner join, left and right joins, full outer joins, and a self join. You will be able to use aliases and pre-qualifiers to make your SQL code cleaner and efficient.

Modifying and Analyzing Data with SQL

In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically. You will be able to use case statements and finish this module by discussing data governance and profiling. You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context.

Good to know

Know what's good

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, 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

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

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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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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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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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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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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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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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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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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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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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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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SQL for Data Science

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