Foundations for Big Data Analysis with SQL from Coursera

In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.

By the end of the course, you will be able to

• distinguish operational from analytic databases, and understand how these are applied in big data;

• understand how database and table design provides structures for working with data;

• appreciate how differences in volume and variety of data affects your choice of an appropriate database system;

• recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and

• explore databases and tables in a big data platform.

To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:

• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)

• 64-bit operating system (32-bit operating systems will not work)

• 8 GB RAM or more

• 25GB free disk space or more

• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;

on Windows and Linux computers, you might need to enable it in the BIOS)

• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

What's inside

Syllabus

Data and Databases

In this week, you'll get an overview of this Specialization and of Course 1. Then you'll learn about database systems and the distinction between operational and analytic databases.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores data and databases, which is a foundational skill for data scientists

Examines big data, which is highly in demand in the industry

Provides hands-on practice with SQL tools for big data analysis, which is essential for data scientists

Teaches relational databases and SQL, which are core concepts for data scientists

Reviews summary

Foundations for big data analysis with sql

According to learners, this course provides a solid foundation for understanding how SQL is used in the context of big data. Many appreciate the clear explanations of core concepts and the introduction to different database types. The hands-on exercises within the virtual machine environment are frequently mentioned as a valuable positive aspect, allowing students to explore databases and practice queries. However, a common concern noted is the difficulty and time required for setting up the virtual machine, which some found a significant initial hurdle. While the course is seen as a good starting point, some found the coverage of certain topics superficial and felt it required further study or was better suited for complete beginners.

Best suited for those new to Big Data SQL.

"As a complete beginner, I found this course very accessible and easy to follow."

"It's a great introduction if you have no prior knowledge of big data or SQL nuances."

"Those with some SQL experience might find the initial content too basic."

"I appreciated the slow pace and detailed explanations suitable for someone starting out."

Practical labs and VM environment are useful.

"The hands-on exercises in the VM were incredibly helpful for practicing what was taught."

"Working directly with databases and tables in the virtual environment solidified my learning."

"I found the lab exercises practical and relevant to real-world big data scenarios."

"Being able to explore the environment provided was a key benefit of the course."

Provides a good starting point for Big Data SQL.

"This course laid a great foundation for understanding the basics of SQL in a big data context."

"I feel like I have a solid grasp of the fundamental concepts covered in the lectures."

"It really helped me understand the difference between operational and analytic databases and their application."

"Gave me the foundational knowledge I needed before diving into more complex topics."

Some topics lack depth; requires further study.

"Felt like some topics were only briefly touched upon and could use more detail."

"It's a good overview, but don't expect to become an expert from this course alone."

"I had to look for external resources to fully understand certain concepts mentioned."

"Wish there were more advanced examples or discussion on optimization."

Setting up the virtual machine can be frustrating.

"The virtual machine setup process was very difficult and time-consuming for me."

"I spent more time troubleshooting the VM installation than on the course content itself."

"Getting the exercise environment to work was a significant hurdle at the beginning."

"Wish the instructions for the VM setup were clearer or there was better support for issues."

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 Foundations for Big Data Analysis with SQL with these activities:

Read 'SQL for Data Science' by John Foreman

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Gain a comprehensive understanding of SQL for data science applications.

View Data Smart on Amazon

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Read the book and take notes on key concepts.
Complete the exercises at the end of each chapter.

Connect with experienced SQL professionals

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Seek guidance and advice from experts in the field to enhance your learning journey.

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Reach out to SQL professionals through LinkedIn or industry events.
Request mentorship or guidance on SQL-related topics.

Review relational database concepts and SQL syntax

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Refresh your foundational knowledge of relational databases and SQL to prepare for the course.

Browse courses on SQL

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Review online articles or tutorials on SQL.
Take practice quizzes on SQL syntax.
Create a simple database and practice basic SQL commands.

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Attend a workshop on SQL for big data analysis

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Learn about advanced SQL techniques and tools for handling big data.

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Search for upcoming SQL workshops in your area.
Register for the workshop and attend all sessions.
Participate in hands-on exercises and discussions.

Solve SQL problems on platforms like LeetCode or HackerRank

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Challenge yourself by tackling real-world SQL problems and improve your problem-solving abilities.

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Register on a coding platform and search for SQL problems.
Select a problem and analyze its requirements.
Write efficient SQL queries to solve the problem.
Submit your solution and review the feedback.

Practice SQL queries on sample datasets

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Reinforce your understanding of SQL syntax and commands by working through practice exercises.

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Create a table and populate it with sample data.
Write queries to retrieve specific data from the table.
Filter and sort the data using various SQL clauses.
Practice joining tables to combine data from multiple sources.

Build a data visualization dashboard using SQL and a visualization tool

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Apply your SQL skills to create interactive visualizations that communicate insights from data.

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Choose a dataset and define the visualizations you want to create.
Write SQL queries to extract and transform the data.
Import the data into a visualization tool and create charts, graphs, and other visualizations.
Refine the dashboard based on user feedback.

Contribute to open-source SQL projects on GitHub

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Gain practical experience and contribute to the SQL community by working on real-world projects.

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Find open-source SQL projects on GitHub that align with your interests.
Identify a bug or feature to work on.
Fork the project, make your changes, and submit a pull request.

Career center

Learners who complete Foundations for Big Data Analysis with SQL will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst gathers, cleans, and interprets data to help organizations make informed decisions. This course, Foundations for Big Data Analysis with SQL, provides a strong foundation for Data Analysts by teaching them how to use SQL to work with big data. This course is especially helpful for Data Analysts who want to learn how to use SQL to analyze data on a large scale.

See salaries and explore the career path for Data Analyst

Business Analyst

A Business Analyst uses data to help organizations improve their performance. This course, Foundations for Big Data Analysis with SQL, provides Business Analysts with the skills they need to work with big data. This course is especially helpful for Business Analysts who want to learn how to use SQL to analyze data on a large scale.

See salaries and explore the career path for Business Analyst

Data Scientist

A Data Scientist uses data to build models that can predict future trends. This course, Foundations for Big Data Analysis with SQL, provides Data Scientists with the skills they need to work with big data. This course is especially helpful for Data Scientists who want to learn how to use SQL to analyze data on a large scale.

See salaries and explore the career path for Data Scientist

Database Administrator

A Database Administrator manages and maintains databases. This course, Foundations for Big Data Analysis with SQL, provides Database Administrators with the skills they need to work with big data. This course is especially helpful for Database Administrators who want to learn how to use SQL to manage and maintain big data databases.

See salaries and explore the career path for Database Administrator

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course, Foundations for Big Data Analysis with SQL, provides Software Engineers with the skills they need to work with big data. This course is especially helpful for Software Engineers who want to learn how to use SQL to develop software applications that work with big data.

See salaries and explore the career path for Software Engineer

Data Engineer

A Data Engineer builds and maintains data pipelines. This course, Foundations for Big Data Analysis with SQL, provides Data Engineers with the skills they need to work with big data. This course is especially helpful for Data Engineers who want to learn how to use SQL to build and maintain data pipelines for big data.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

A Machine Learning Engineer builds and maintains machine learning models. This course, Foundations for Big Data Analysis with SQL, provides Machine Learning Engineers with the skills they need to work with big data. This course is especially helpful for Machine Learning Engineers who want to learn how to use SQL to build and maintain machine learning models for big data.

See salaries and explore the career path for Machine Learning Engineer

Statistician

A Statistician collects, analyzes, and interprets data. This course, Foundations for Big Data Analysis with SQL, provides Statisticians with the skills they need to work with big data. This course is especially helpful for Statisticians who want to learn how to use SQL to analyze data on a large scale.

See salaries and explore the career path for Statistician

Quantitative Analyst

A Quantitative Analyst uses data to make investment decisions. This course, Foundations for Big Data Analysis with SQL, provides Quantitative Analysts with the skills they need to work with big data. This course is especially helpful for Quantitative Analysts who want to learn how to use SQL to analyze data on a large scale.

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Actuary

An Actuary uses data to assess risk. This course, Foundations for Big Data Analysis with SQL, provides Actuaries with the skills they need to work with big data. This course is especially helpful for Actuaries who want to learn how to use SQL to assess risk on a large scale.

See salaries and explore the career path for Actuary

Epidemiologist

An Epidemiologist studies the causes and distribution of disease. This course, Foundations for Big Data Analysis with SQL, provides Epidemiologists with the skills they need to work with big data. This course is especially helpful for Epidemiologists who want to learn how to use SQL to study the causes and distribution of disease on a large scale.

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Operations Research Analyst

An Operations Research Analyst uses data to improve the efficiency of organizations. This course, Foundations for Big Data Analysis with SQL, provides Operations Research Analysts with the skills they need to work with big data. This course is especially helpful for Operations Research Analysts who want to learn how to use SQL to improve the efficiency of organizations on a large scale.

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Market Researcher

A Market Researcher studies the behavior of consumers. This course, Foundations for Big Data Analysis with SQL, provides Market Researchers with the skills they need to work with big data. This course is especially helpful for Market Researchers who want to learn how to use SQL to study the behavior of consumers on a large scale.

See salaries and explore the career path for Market Researcher