What skills can I learn from Data Engineering courses on Coursera?

Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure: Techniques for designing data models and databases . Skills in data warehousing and data lake construction and management. Proficiency in big data technologies such as Hadoop , Spark , and Apache Kafka. Best practices for data integration, ETL (extract, transform, load) processes , and pipeline construction. Understanding of data quality management and data governance . Application of automation and monitoring tools to maintain data systems.

Do I need prior experience in data management or programming to start learning Data Engineering on Coursera?

Data Engineering courses on Coursera cater to learners of all backgrounds: Beginners can start with introductory courses that teach the basics of data infrastructure and SQL . Those with some technical experience can focus on advanced topics like big data processing or cloud data services. Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.

What certifications and credentials can I earn through Data Engineering courses on Coursera?

Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles: Professional certificates that demonstrate a foundational understanding and practical skills in data engineering. Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security. Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.

What career opportunities can be pursued with skills in Data Engineering?

Skills in data engineering can lead to a variety of roles within the technology and analytics sectors: Data Engineer , responsible for designing and managing scalable data systems. Database Administrator , maintaining and optimizing database performance. Cloud Solutions Architect, focusing on cloud storage and data services. Data Architect , shaping strategic data practices and architectures. Machine Learning Engineer , preparing data infrastructure for predictive models.

Are there free data engineering courses or certifications available on Coursera?

Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.

Top Data Engineering Courses - Learn Data Engineering Online

Explore the Data Engineering Course Catalog

Duke University
Cloud Data Engineering
Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Software Development, Cloud Computing, Serverless Computing, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, NumPy, Unix Commands
4.1
Rating, 4.1 out of 5 stars
81 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
IBM DevOps and Software Engineering
Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Linux Commands, Agile Software Development, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Bash (Scripting Language), Cloud Services, Shell Script, Git (Version Control System), DevOps, Jupyter
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
59K reviews
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Data Engineering with Rust
Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Data Structures, Data Processing, Application Programming Interface (API), Cloud Applications, Data Manipulation, Encryption, Algorithms, Command-Line Interface
3.5
Rating, 3.5 out of 5 stars
44 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
IBM AI Developer
Skills you'll gain: Generative AI, Software Development Life Cycle, Unit Testing, ChatGPT, HTML and CSS, Development Environment, Web Design and Development, Jupyter, Hypertext Markup Language (HTML), Software Engineering, Artificial Intelligence, Cascading Style Sheets (CSS), Web Development, Data Ethics, Application Deployment, Web Applications, Automation, Interviewing Skills, CI/CD, Professional Networking
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
67K reviews
Beginner · Professional Certificate · 3 - 6 Months
IBM
Generative AI: Elevate your Data Engineering Career
Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Modeling, Data Synthesis, Test Data, Big Data, Systems Design, Data Analysis, Data Quality
4.8
Rating, 4.8 out of 5 stars
26 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Scripting with Python and SQL for Data Engineering
Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Database Software, Database Management, Databases, Data Import/Export, Data Storage Technologies, Spatial Analysis, Python Programming
4.4
Rating, 4.4 out of 5 stars
101 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
MySQL-for-Data-Engineering
Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Integration, Data Pipelines, Data Manipulation, Data Processing
4.3
Rating, 4.3 out of 5 stars
7 reviews
Beginner · Guided Project · Less Than 2 Hours
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Data Structures and Algorithms
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Network Model, Bioinformatics, Operations Research, Network Analysis, Epidemiology, Programming Principles, Data Structures, Theoretical Computer Science, Infectious Diseases, Computer Programming, Computational Thinking, Computer Science, Big Data, Computational Logic, Program Development, Life Sciences, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
17K reviews
Intermediate · Specialization · 3 - 6 Months
Google Cloud
Data Engineering, Big Data and ML on Google Cloud en Español
Skills you'll gain: Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, Data Warehousing, Data Infrastructure, Data Pipelines, Cloud Storage, Data Architecture, Data Storage, Unstructured Data, MLOps (Machine Learning Operations), Data Storage Technologies, Tensorflow, Big Data, Applied Machine Learning, Cloud Computing, Cloud API, Data Processing, Serverless Computing
4.7
Rating, 4.7 out of 5 stars
787 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Coursera Instructor Network
Data Engineering: Pipelines, ETL, Hadoop
Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Infrastructure, Data Lakes, Data Architecture, Apache Spark, Data Integration, Data Processing, SQL Server Integration Services (SSIS), Data Management
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, JSON, Statistical Analysis, Database Design, Query Languages
4.6
Rating, 4.6 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months