SQL for Data Science from edX

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Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.

The emphasis in this course is on hands-on, practical learning. As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.

No prior knowledge of databases, SQL, Python, or programming is required.

What you'll learn

Explain fundamentals of databases and relational database management systems (RDBMS)
Execute basic SQL queries using SELECT, INSERT, UPDATE, and DELETE
Use string patterns and ranges to query and filter data
Sort and group data in result sets and use built-in database functions
Query multiple tables and compose nested SELECT statements and sub-queries
Analyze data in a database using Python and Jupyter Notebooks

What's inside

Learning objectives

Explain fundamentals of databases and relational database management systems (rdbms)
Execute basic sql queries using select, insert, update, and delete
Use string patterns and ranges to query and filter data

Sort and group data in result sets and use built-in database functions
Query multiple tables and compose nested select statements and sub-queries
Analyze data in a database using python and jupyter notebooks

Explain fundamentals of databases and relational database management systems (rdbms)
Execute basic sql queries using select, insert, update, and delete
Use string patterns and ranges to query and filter data
Sort and group data in result sets and use built-in database functions
Query multiple tables and compose nested select statements and sub-queries
Analyze data in a database using python and jupyter notebooks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Strengthens an existing foundation for intermediate learners in SQL and relational database management systems (RDBMS)

Covers foundational aspects of data analysis with SQL, including data retrieval, manipulation, and aggregation

Provides a hands-on approach to learning SQL, with opportunities to practice building and running SQL queries

Introduces learners to the use of Python and Jupyter Notebooks for data analysis

Provides a certificate of completion, which can serve as a credential for learners

Requires no prior knowledge in databases, SQL, Python, or programming, making it accessible to a wider audience

Reviews summary

Avoid this problematic data science course

According to students, "SQL for Data Science" is a poorly organized course that lacks essential learning resources. Many learners report that they had to seek outside resources, such as YouTube, to supplement the course's inadequate materials and faulty foundational instruction. Additionally, the course is criticized for its overemphasis on IBM products.

The course focuses heavily on IBM products to the detriment of the learning experience.

"The course was overly-focused on IBM products."

The course doesn't provide lecture notes, transcripts, or other common learning materials.

"The class lacked learning materials (no lecture transcripts, lecture notes, supplemental readings, concept definitions, etc.)."

The course lacks materials, foundational concepts, and clear organization.

"The class was poorly organized."

"The course failed to teach foundational concepts."

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 Basics

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Get up to speed on the core concepts and applications of SQL by reviewing your notes, assignments, and course materials. Understanding basic principles will help you excel in this course.

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Retrieve notes and assignments from previous courses or online resources.
Review key concepts such as data types, tables, and queries.
Complete practice problems or quizzes to test your understanding.

Participate in SQL Study Groups

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Engage with fellow learners by forming study groups focused on SQL. Collaborating with peers will foster knowledge sharing, problem-solving, and deeper understanding of course concepts.

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Find or create a study group with other course participants.
Establish regular meeting times and discussion topics.
Share knowledge, work through problems, and provide feedback.

Read "Database Systems: The Complete Book"

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Gain a comprehensive understanding of database systems by reading this authoritative text. It covers a wide range of topics, from data modeling to query processing, providing a solid foundation for your SQL journey.

View Database Systems: The Complete Book on Amazon

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Obtain a copy of the book.
Read and study the chapters relevant to the course.
Complete the exercises and review questions at the end of each chapter.

Three other activities

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Explore Advanced SQL Concepts

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Expand your SQL knowledge by exploring advanced concepts. Engaging with tutorials and online resources will provide deeper insights into query optimization, database normalization, and other techniques that will enhance your data analysis capabilities.

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Identify online tutorials or courses on advanced SQL.
Follow the tutorials to learn about advanced concepts.
Implement the techniques in practice using sample databases.

Mentor Junior Learners

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Enhance your SQL skills while supporting others by becoming a mentor. Guiding junior learners will reinforce your understanding and contribute to the community's growth.

Browse courses on Knowledge Sharing

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Identify opportunities to mentor students or colleagues.
Provide guidance on SQL concepts, techniques, and best practices.
Review code, answer questions, and offer encouragement.

Build a Personal SQL Project

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Deepen your understanding of SQL by embarking on a personal project that aligns with your interests. This hands-on experience will give you the freedom to explore data, experiment with queries, and showcase your SQL proficiency.

Browse courses on Data Exploration

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Define your project idea and scope.
Gather and prepare the necessary data.
Write SQL queries to analyze or visualize the data.
Create a report or presentation to share your findings.

Career center

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

Data Scientist

Data Scientists leverage their expertise in data analysis, machine learning, and programming to solve complex business problems. With a strong foundation in SQL, learners can effectively query and manipulate data, making them valuable contributors to Data Science teams. This course provides a stepping stone for individuals aspiring to become Data Scientists, equipping them with the necessary SQL skills to succeed in this rapidly growing field.

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Data Engineer

Data Engineers build and maintain the infrastructure that supports data storage, processing, and analysis. A solid foundation in SQL is essential for Data Engineers, as they are responsible for designing and implementing data pipelines, ensuring data quality, and optimizing database performance. This course provides a strong foundation for learners aspiring to become Data Engineers, equipping them with the necessary SQL skills to succeed in this in-demand field.

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Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to provide insights and inform decision-making. By gaining proficiency in SQL, individuals pursuing a Data Analyst role can enhance their ability to extract and interpret data, a crucial skill for identifying trends and extracting meaningful information from databases. This course provides a solid foundation for aspiring Data Analysts to excel in their future careers.

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Business Intelligence Analyst

Business Intelligence Analysts transform raw data into actionable insights that drive informed business decisions. By mastering SQL, learners can gain the ability to gather and analyze data from various sources, enabling them to identify patterns, develop insights, and effectively communicate data-driven recommendations to stakeholders. This course empowers individuals seeking a career in Business Intelligence Analysis with the essential skills to excel in this field.

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Database Developer

Database Developers design, develop, and maintain databases. With a strong foundation in SQL, learners can gain the skills necessary to create and manage database structures, write efficient SQL queries, and optimize database performance. This course provides a comprehensive overview of SQL, making it a valuable resource for individuals seeking a career as a Database Developer.

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Business Analyst

Business Analysts identify and analyze business needs and develop solutions to improve business processes. By becoming proficient in SQL, learners can enhance their ability to gather and analyze data, understand business requirements, and communicate effectively with stakeholders. This course provides a solid foundation for Business Analysts, equipping them with the necessary SQL skills to excel in their roles.

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Database Administrator

Database Administrators ensure that data is properly organized, stored, and accessible within databases. With a foundation in SQL, learners of this course may be well-prepared to understand the practical applications taught in a Database Administrator role. This role involves managing database systems, ensuring data integrity, and optimizing database performance. By developing a strong understanding of SQL, learners may gain a competitive advantage when seeking opportunities in this field.

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Software Engineer

Software Engineers design, develop, and maintain software systems. Proficiency in SQL is often sought after by employers in this field, as it allows Software Engineers to efficiently interact with databases and manage data within software applications. By taking this course, learners can enhance their understanding of SQL, making them more competitive candidates for Software Engineering roles that involve data management and analysis.

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Market Researcher

Market Researchers study market trends, consumer behavior, and industry dynamics to provide insights for businesses. Proficiency in SQL can be valuable for Market Researchers, as it allows them to gather and analyze data from various sources, identify market opportunities, and develop effective marketing strategies. This course provides a strong foundation in SQL, making it a useful resource for aspiring Market Researchers.

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Statistician

Statisticians collect, analyze, interpret, and present data to inform decision-making. Familiarity with SQL can be beneficial for Statisticians, as it allows them to efficiently access and manipulate data from databases. This course provides a foundation in SQL, enabling Statisticians to enhance their data analysis capabilities and gain a competitive edge in their field.

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Risk Manager

Risk Managers identify, assess, and mitigate risks faced by organizations. Familiarity with SQL can be an asset for Risk Managers, as it allows them to analyze risk data, develop risk models, and make informed risk management decisions. This course provides a foundation in SQL, enabling Risk Managers to enhance their risk analysis capabilities and contribute effectively to their organizations.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. Knowledge of SQL can be an asset in this role, as it enables Information Security Analysts to query and analyze security-related data, identify vulnerabilities, and monitor for suspicious activities within databases. This course may provide a helpful foundation for individuals interested in pursuing a career as an Information Security Analyst.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems and improve decision-making. Proficiency in SQL can be an asset for Operations Research Analysts, as it allows them to access and analyze large datasets, identify patterns, and develop optimization models. This course provides a foundation in SQL, enabling Operations Research Analysts to enhance their problem-solving capabilities and make data-driven recommendations.

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Financial Analyst

Financial Analysts evaluate and make recommendations on investments. Knowledge of SQL can be beneficial for Financial Analysts, as it enables them to analyze financial data, build financial models, and make informed investment decisions. This course provides a foundation in SQL, equipping Financial Analysts with the necessary skills to succeed in their roles.

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Actuary

Actuaries use statistical and mathematical methods to assess risk and uncertainty. Knowledge of SQL can be beneficial for Actuaries, as it enables them to analyze large datasets, build actuarial models, and make informed risk assessments. This course provides a foundation in SQL, equipping Actuaries with the necessary skills to succeed in their roles.

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