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Data Engineering

This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:

Data Analytics and Visualization Certificate

Read more

This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:

Data Analytics and Visualization Certificate

What you'll learn

By first learning how important databases are to acquiring and storing data, you can then become familiar with the common database structure, the star schema, and learn the techniques of joining data from multiple tables. Finally, learn how to write reporting queries and to build complex scripts for processing data. By the end of the course, you will have enough practice in writing SQL to evaluate and analyze a database that they will be ready to use their skills in a business setting.

Enroll now

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners, the course establishes a solid understanding of the fundamentals
Emphasizes industry-standard practices, including the star schema and SQL
Provides hands-on practice through a capstone project, fostering confidence and real-world experience
Aligned with the Data Analytics and Visualization Certificate, offering a comprehensive learning path
Incorporates interactive videos to enhance understanding of concepts and software applications

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Reviews summary

Practical data engineering with sql focus

According to learners, this course offers a strong, practical foundation in Data Engineering, with a significant emphasis on SQL querying and database concepts. Many students highlight the capstone project as a crucial element, providing invaluable hands-on application of the learned skills. The interactive videos and clear instruction are frequently praised for making complex topics accessible. However, some learners noted a need for prior basic programming or SQL knowledge, indicating the pace might be challenging for absolute beginners. Overall, it's considered a highly effective course for aspiring data professionals.
Instructor explains complex topics in an easy-to-understand manner.
"The instructor was clear, and the interactive videos made complex topics easy to digest."
"The instruction was superb. A must-take for data professionals."
"The database concepts and SQL queries were well explained."
Interactive videos and labs are engaging and aid comprehension.
"The instructor was clear, and the interactive videos made complex topics easy to digest."
"Fantastic course! The interactive videos are a game-changer."
"The interactive labs were great for practice. I feel much more confident in my ability to handle data now."
"It focuses heavily on SQL, which is great. The interactive nature helps keep things engaging."
Course excels in teaching practical SQL applications.
"This course was exactly what I needed to bridge the gap between theoretical SQL and practical data engineering."
"I learned so much about connecting and analyzing data sources... perfect for aspiring data engineers or analysts looking to deepen their SQL skills."
"The SQL querying and data processing scripts were invaluable."
"It focuses heavily on SQL, which is great. The interactive nature helps keep things engaging."
The capstone provides essential hands-on application of concepts.
"The capstone project was a huge differentiator, allowing me to apply everything hands-on."
"The capstone project was challenging but rewarding, really consolidated my understanding."
"The capstone project is the highlight, really brings it all together."
"The realistic capstone project were all top-notch. A must-take for data professionals."
Some learners found forum support occasionally unresponsive.
"The support in the forums wasn't always responsive, and I felt I needed more in-depth explanations for some of the more complex data processing scripts."
Pace can be fast, assuming some prior SQL/coding familiarity.
"I found that it assumes some prior knowledge, particularly with programming or advanced SQL, which wasn't clearly stated."
"My only minor critique is that some parts felt a bit fast-paced for a complete beginner, but with dedication, it's manageable."
"For a true beginner, it could be overwhelming. The interactive elements were good though."
"I struggled with this course. While the topics are relevant, the pace felt too fast."

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 Data Engineering with these activities:
Go through SQL basics
Review basic SQL commands, data structures, data types, and query construction.
Show steps
  • Review basic SQL syntax
  • Practice writing queries to select, insert, update, and delete data
  • Create a simple database schema and populate it with data
Read 'SQL Cookbook' by Anthony DeBarros
Supplement your learning by reading 'SQL Cookbook,' a practical guide that provides recipes and solutions for common SQL tasks and challenges.
View Practical SQL, 2nd Edition on Amazon
Show steps
  • Obtain a copy of 'SQL Cookbook'.
  • Read through the chapters that align with the course topics.
  • Try out the code examples and apply the techniques to your own SQL queries.
Review SQL basics
Review the basics of SQL, including data types, operators, and basic queries, to refresh your knowledge and strengthen your foundation for this course.
Browse courses on SQL
Show steps
  • Read through an online tutorial or article on SQL basics.
  • Complete a few practice exercises to test your understanding.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Solve SQL practice problems
Sharpen your SQL skills by solving a variety of practice problems.
Show steps
  • Find a set of SQL practice problems online or in a textbook
  • Solve the problems on your own, or with a study group
  • Review your solutions and identify areas where you need improvement
Participate in a peer study group
Engage with fellow learners by participating in a peer study group to discuss course concepts, share insights, and support each other's understanding.
Show steps
  • Find or form a study group with other students in the course.
  • Schedule regular meetings to discuss course material and assignments.
  • Take turns leading discussions and presenting on specific topics.
Follow a guided tutorial on joining data from multiple tables
Enhance your understanding of data joining techniques by following a guided tutorial that demonstrates how to combine data from multiple tables, using the star schema model.
Browse courses on Data joining
Show steps
  • Find a tutorial that covers data joining in SQL using the star schema.
  • Follow the steps in the tutorial to join data from multiple tables.
  • Test your understanding by completing the practice exercises provided in the tutorial.
Solve practice problems on SQL queries
Sharpen your SQL skills by solving practice problems that cover various query types, data manipulation techniques, and optimization strategies.
Browse courses on Query Optimization
Show steps
  • Find a collection of practice problems online or in a textbook.
  • Set aside dedicated time to work on the problems.
  • Review your solutions and identify areas for improvement.
Build a data visualization dashboard
Demonstrate your ability to analyze and visualize data by creating a data visualization dashboard that showcases insights from a given dataset.
Browse courses on Data Visualization
Show steps
  • Choose a dataset that aligns with the course content.
  • Identify the key metrics and insights you want to convey.
  • Select appropriate data visualization techniques to represent the insights.
  • Create the dashboard using a data visualization tool.
  • Present your dashboard to others for feedback and discussion.
Create a personal data analysis project
Demonstrate your understanding and proficiency by completing a personal data analysis project that involves gathering, cleaning, analyzing, and visualizing data using SQL.
Browse courses on Data-Driven Insights
Show steps
  • Define a project scope and objectives.
  • Gather and clean the necessary data.
  • Perform data analysis using SQL.
  • Visualize and interpret the results.
  • Write a report or present your findings.

Career center

Learners who complete Data Engineering will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and systems. They work with data scientists and other stakeholders to ensure that data is available and accessible for analysis. This course provides a foundation in data engineering concepts and technologies, which can help you develop the skills needed for this role.
See salaries and explore the career path for Data Engineer
Database Administrator
A Database Administrator ensures the security, performance, and availability of databases. They work with database designers and developers to create and maintain databases and data structures. This course can help you gain the knowledge and skills needed to work with databases, which is essential for this role.
See salaries and explore the career path for Database Administrator
Data Scientist
A Data Scientist develops and applies machine learning and other data analysis techniques to solve business problems. They work with large datasets to identify patterns and trends and develop predictive models. This course provides a foundation in data science concepts and techniques, which can help you develop the skills needed for this role.
See salaries and explore the career path for Data Scientist
Business Analyst
A Business Analyst gathers and analyzes data to identify and solve business problems. They work with stakeholders to understand their needs and develop solutions. This course can help you develop the skills needed to gather and analyze data, which is essential for this role.
See salaries and explore the career path for Business Analyst
Software Engineer
A Software Engineer designs, develops, and maintains software applications and systems. They work with data scientists and other stakeholders to develop software that meets the needs of users. This course can help you develop the programming and software development skills needed for this role.
See salaries and explore the career path for Software Engineer
Data Architect
A Data Architect designs and manages the architecture of data systems. They work with data scientists, database administrators, and other stakeholders to ensure that data is organized and managed in a way that supports business needs. This course can help you develop the skills needed to design and manage data architectures, which is essential for this role.
See salaries and explore the career path for Data Architect
Information Security Analyst
An Information Security Analyst protects the confidentiality, integrity, and availability of data and systems. They work with other stakeholders to identify and mitigate security risks. This course can help you develop the skills needed to analyze and address security risks, which is essential for this role.
See salaries and explore the career path for Information Security Analyst
Data Management Consultant
A Data Management Consultant helps organizations improve their data management practices. They work with clients to assess their data needs and develop solutions to improve data quality, security, and governance. This course can help you develop the skills needed to assess and improve data management practices, which is essential for this role.
See salaries and explore the career path for Data Management Consultant
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. They work with other stakeholders to develop and implement cloud strategies and solutions. This course can help you develop the skills needed to design and manage cloud architectures, which is essential for this role.
See salaries and explore the career path for Cloud Architect
Data Governance Specialist
A Data Governance Specialist develops and implements data governance policies and procedures. They work with other stakeholders to ensure that data is used and managed in a way that is consistent with business goals. This course can help you develop the skills needed to develop and implement data governance policies and procedures, which is essential for this role.
See salaries and explore the career path for Data Governance Specialist
Database Designer
A Database Designer designs and develops databases and data structures. They work with other stakeholders to gather and analyze data requirements and develop database designs. This course can help you develop the skills needed to design and develop databases, which is essential for this role.
See salaries and explore the career path for Database Designer
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualizations. They work with data scientists and other stakeholders to communicate data insights and findings. This course can help you develop the skills needed to design and develop data visualizations, which is essential for this role.
See salaries and explore the career path for Data Visualization Engineer
Data Warehouse Architect
A Data Warehouse Architect designs and manages data warehouses. They work with data scientists and other stakeholders to develop and implement data warehousing strategies and solutions. This course can help you develop the skills needed to design and manage data warehouses, which is essential for this role.
See salaries and explore the career path for Data Warehouse Architect
Data Analyst
A Data Analyst collects, processes, and analyzes data to gain insights and make informed decisions. They work closely with other stakeholders to identify and address business problems and opportunities. This course provides a solid foundation in data analysis techniques and technologies, which can help you develop the skills needed to succeed in this role.
See salaries and explore the career path for Data Analyst
Data Integration Architect
A Data Integration Architect designs and manages data integration solutions. They work with data scientists and other stakeholders to develop and implement data integration strategies and solutions. This course can help you develop the skills needed to design and manage data integration solutions, which is essential for this role.
See salaries and explore the career path for Data Integration Architect

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Engineering.
Cover image
Secret Colors
Save
Offers a comprehensive guide to designing and building scalable, reliable, and efficient data-intensive applications. It provides insights into data modeling, data storage, and data processing, which are crucial aspects of data engineering.
Secret Colors
Paperback
Check
Secret Colors
Kindle Edition
Check
Cover image
Database Systems
Save
Comprehensive reference guide to databases. It covers topics such as database design, database administration, and database security. It valuable resource for those who need a thorough understanding of databases.
Database Systems: A Practical Approach to Design,...
Paperback
$$$$
Database Systems: A Practical Approach to Design,...
Paperback
$$$
Business Database Systems
Paperback
$$$$
Database Systems: A Practical Approach to Design,...
Paperback
$$$
Database Systems: A Practical Approach to Design,...
Paperback
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Database Systems: A Practical Approach to Design,...
Paperback
$$$$
Database Systems:A Practical Approach to Design,...
Paperback
$$$$
Cover image
The Kimball Group Reader
Save
Provides a comprehensive overview of data warehousing. It covers data warehouse design, data integration, and data analysis. It also provides guidance on how to design and implement data warehouses for various applications.
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check
Cover image
Big Data
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Provides a comprehensive overview of big data. It covers data collection, storage, processing, and analysis. It also provides guidance on how to design and implement big data systems for various applications.
Big Data: Principles and best practices of scalable...
Paperback
$$
(Deutsch) Big Data: Entwicklung und Programmierung von...
Perfect Paperback
$$$
Big Data: Principles and best practices of scalable...
Kindle Edition
$$
Cover image
Machine Learning with Spark and Python
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Provides a practical guide to machine learning for data engineers. It covers machine learning algorithms, model training, and model evaluation. It also provides guidance on how to apply machine learning to data engineering tasks.
Machine Learning with Spark and Python: Essential...
Paperback
$$
(中文) Spark and Python Machine Learning in Action: Core...
Paperback
$$
Machine Learning with Spark and Python: Essential...
Kindle Edition
$$
Cover image
SQL All-in-One For Dummies
Save
Offers a beginner-friendly introduction to SQL. It covers topics such as data querying, data manipulation, and data analysis. It valuable resource for those who are new to SQL and need a foundational understanding.
SQL All-in-One For Dummies
Paperback
Check
SQL All-in-One For Dummies
Kindle Edition
Check

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Effort
9 hours per week for 5 weeks
Level
Elementary
Via
edX
Institution
Arizona State University
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Suitable for beginners, the course establishes a solid understanding of the fundamentals
Emphasizes industry-standard practices, including the star schema and SQL
Provides hands-on practice through a capstone project, fostering confidence and real-world experience
Aligned with the Data Analytics and Visualization Certificate, offering a comprehensive learning path
Incorporates interactive videos to enhance understanding of concepts and software applications
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