SQL für 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

Erste Schritte sowie Auswählen und Abrufen von Daten mit SQL

In diesem Modul lernen Sie, SQL zu definieren und zu diskutieren, wie sich SQL von anderen Computersprachen unterscheidet. Sie werden in der Lage sein, die Rollen eines Datenbankadministrators und eines Data Scientist zu vergleichen und die Unterschiede zwischen Eins-zu-eins-, Eins-zu-viele- und Viele-zu-viele-Beziehungen mit Datenbanken zu erklären. Sie werden in der Lage sein, die SELECT-Anweisung zu verwenden und einige grundlegende Syntaxregeln zu erläutern. Sie werden in der Lage sein, Kommentare in Ihren Code einzufügen und dessen Bedeutung zu erfassen.

Filtern, Sortieren und Berechnen von Daten mit SQL

In diesem Modul lernen Sie, mehrere neue Klauseln und Operatoren zu verwenden, darunter WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY und GROUP BY. Sie werden in der Lage sein, die Platzhalterfunktion zu nutzen, um nach spezifischeren Datensätzen oder Teilen von Datensätzen zu suchen, einschließlich ihrer Vor- und Nachteile, und wie man sie am besten einsetzt. Sie werden in der Lage sein, die Verwendung grundlegender mathematischer Operatoren sowie von Aggregatfunktionen wie AVERAGE, COUNT, MAX, MIN und anderen zu diskutieren, um mit der Analyse unserer Daten zu beginnen.

Unterabfragen und Verknüpfungen in SQL

In diesem Modul lernen Sie, Unterabfragen zu erörtern, einschließlich ihrer Vor- und Nachteile und wann sie zu verwenden sind. Sie können sich an das Konzept eines Schlüsselfeldes erinnern und erörtern, wie diese uns helfen, Daten mit Verknüpfungen zu verknüpfen. Sie werden in der Lage sein, verschiedene Arten von Verknüpfungen zu identifizieren und zu definieren, darunter die kartesische Verknüpfung, die innere Verknüpfung, linke und rechte Verknüpfungen, vollständige äußere Verknüpfungen und die Selbstverknüpfung. Sie werden in der Lage sein, Aliase und Präqualifikatoren zu verwenden, um Ihren SQL-Code ordentlicher und effizienter zu gestalten.

Ändern und Analysieren von Daten mit SQL

In diesem Modul werden Sie lernen, wie Sie Zeichenketten durch Verketten, Trimmen, Ändern der Groß- und Kleinschreibung und die Verwendung der Teilzeichenfolgen-Funktion verändern können. Sie werden in der Lage sein, die Datums- und Uhrzeitzeichenfolgen genau zu besprechen. Sie werden in der Lage sein, Case-Anweisungen zu verwenden und dieses Modul mit einer Diskussion über Daten-Governance und Profiling abzuschließen. Sie werden auch in der Lage sein, grundlegende Prinzipien bei der Verwendung von SQL für Data Science anzuwenden. Sie werden in der Lage sein, Tipps und Tricks zu nutzen, um SQL in einem Data-Science-Kontext anzuwenden.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Die Wichtigkeit von SQL wird im heutigen Datenzeitalter hervorgehoben

Der Kurs konzentriert sich auf die Grundlagen von SQL und ermöglicht den Teilnehmern den Einstieg in die Datenwissenschaft

Der Kursleiter Sadie St. Lawrence ist ein Experte auf diesem Gebiet mit einer ausgeprägten Leidenschaft für die Datenwissenschaft

Der Kurs bietet einen soliden Einstieg in SQL und Datenanalyse, wodurch er für Anfänger und Berufstätige, die ihre Fähigkeiten erweitern möchten, geeignet ist

Der Kurs vermittelt grundlegende SQL-Konzepte wie Abfragen, Filterung und Verknüpfungen

Die praktische Ausrichtung des Kurses ermöglicht es den Teilnehmern, ihr Verständnis durch praktische Übungen zu vertiefen

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 für Data Science with these activities:

Organize Course Materials

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Organize and review the course materials to improve your understanding and retention.

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Gather course notes, assignments, quizzes, and exams.
Review the materials regularly to reinforce what you've learned.
Create summaries or concept maps for key topics.

Join a Study Group

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Engage with peers to discuss course topics, solve problems, and share insights.

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Find or form a study group with other students taking the course.
Set regular meeting times.
Review course materials together.
Collaborate on exercises and assignments.

Practice SQL Queries

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Sharpen your SQL querying skills and reinforce your understanding of SQL syntax and concepts.

Browse courses on SQL Queries

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Find online SQL practice platforms, such as SQLZoo or W3Schools.
Complete a series of SQL queries, ranging from simple to complex.
Review your results and identify areas for improvement.

Four other activities

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Build a Database Schema

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Apply your SQL knowledge to design and create a database schema for a specific problem or scenario.

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Identify the entities and relationships in the given problem or scenario.
Design the database tables and their attributes.
Create the database schema using SQL.
Validate your schema by inserting and querying data.

Explore Advanced SQL Techniques

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Expand your SQL knowledge by exploring advanced topics related to performance optimization, indexing, and window functions.

Browse courses on Advanced SQL

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Identify online tutorials or courses on advanced SQL techniques.
Follow the tutorials and work through the exercises.
Experiment with your own SQL queries to apply what you've learned.

Tutor Other Students

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Reinforce your understanding of SQL concepts by helping other students.

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Identify opportunities to tutor students who are struggling with SQL.
Set up tutoring sessions.
Work with students to review course materials.
Help students solve problems and understand concepts.

Contribute to an Open-Source SQL Project

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Gain practical experience and contribute to the broader SQL community.

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Find an open-source SQL project that aligns with your interests.
Join the project and contribute according to their guidelines.
Work on bug fixes, feature enhancements, or documentation.
Review and discuss code with other contributors.

Career center

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

Data Analyst

A Data Analyst uses structured query language (SQL) to extract data from databases and communicate it to stakeholders. This course can help aspiring and current Data Analysts develop the foundational skills necessary to begin a successful career in the field and cultivate a competitive edge in the job market.

See salaries and explore the career path for Data Analyst

Database Administrator

A Database Administrator (DBA) manages and maintains databases, including their backups, performance, security, and configuration, for optimum performance, availability, and recovery from failures. This course will give aspiring and current DBAs a primer in the fundamentals of SQL and working with data so they begin working with data from the get-go.

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Data Scientist

Data Scientists use SQL to prepare data, clean it, and get it ready for analysis, which is useful at nearly every stage of the data science process. A Data Scientist may also be responsible for developing and implementing solutions to help a business make better decisions and predict future trends. As such, this course may be useful for aspiring and current Data Scientists to make themselves more well-rounded and qualified candidates in their field.

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Data Engineer

A Data Engineer focuses on building, maintaining, and optimizing data pipelines. They ensure that data is collected, processed, and stored in a way that enables Data Scientists and others to do their jobs. This course can help aspiring and current Data Engineers get started or advance in their career by helping them build a foundation in using SQL to prepare and manage data.

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Business Analyst

Business Analysts serve as a liaison between the business and IT departments, translating business requirements into technical specifications. Business Analysts with a strong understanding of SQL can better communicate with database administrators and data engineers, building more effective data management systems for organizations. This course can help aspiring and current Business Analysts gain the SQL skills they need to succeed in their roles.

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Software Engineer

A Software Engineer designs, develops, and maintains computer software. While they do not typically specialize in SQL, it is a fundamental and valuable skill many employers seek. This course can help aspiring and current Software Engineers enhance their marketability by sharpening their SQL skills, making them more competitive in the job market.

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IT Manager

An IT Manager plans and manages an organization's information technology resources, ensuring the efficient use of hardware and software and the maintenance of secure networks. This course can help aspiring and current IT Managers gain a deeper understanding of SQL, helping them lead and manage a team of Data Analysts and other IT professionals who are responsible for managing an organization's SQL-based databases.

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Project Manager

A Project Manager plans, executes, and closes projects. They are responsible for keeping projects on track, within budget, and meeting stakeholder expectations. This course can be useful for aspiring and current Project Managers, providing them with a deeper understanding of SQL and how it can be utilized both in data and project management.

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Web Developer

A Web Developer designs and builds websites. While they do not typically specialize in SQL, many modern web applications require an understanding of SQL to some extent. This course can be useful for aspiring and current Web Developers, helping them build a foundation in using SQL to interact with and manage databases.

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Product Manager

A Product Manager manages the development and launch of new products. While they may not directly use SQL, having a basic understanding of the technology can help them communicate with their engineering team and understand the data that drives product decisions. This course can be useful for aspiring and current Product Managers, providing them with a basic foundation in SQL and its uses.

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Systems Analyst

A Systems Analyst analyzes and designs computer systems. This often includes working with SQL to design database structures and write queries to retrieve and analyze data. This course can help aspiring and current Systems Analysts gain a deeper understanding of SQL, enabling them to perform these tasks more effectively and advance their careers.

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Technical Writer

A Technical Writer creates instruction manuals, technical reports, and other documentation. While they do not typically specialize in SQL, they may find a basic understanding helpful if they are expected to write documentation for software that uses it. This course can be useful for aspiring and current Technical Writers who want to expand their knowledge of the technology landscape and write more effective documentation.

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Data Architect

A Data Architect designs, builds, and maintains an organization's data infrastructure. This includes designing data models, choosing appropriate technologies, and ensuring data quality. This course can provide aspiring and current Data Architects with a valuable foundation in SQL, enabling them to design and manage data architectures that meet the needs of modern businesses.

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Database Designer

A Database Designer designs and creates databases that meet the needs of organizations and their users. This includes designing data models, choosing appropriate data types, and creating database objects. This course can provide aspiring and current Database Designers with a valuable foundation in SQL, enabling them to design and create databases that are efficient, scalable, and meet the needs of their users.

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Information Security Analyst

An Information Security Analyst protects an organization's computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This includes monitoring security logs, investigating security incidents, and implementing security measures. This course can provide aspiring and current Information Security Analysts with a valuable foundation in SQL, enabling them to analyze security data, identify threats, and protect their organizations from cyberattacks.

See salaries and explore the career path for Information Security Analyst