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
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
42 reviews
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Data Visualization with Tableau
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Key Performance Indicators (KPIs), Data Integration, Dashboard, Data Visualization, Interactive Data Visualization, Data Mapping, Tableau Software, Proposal Development, Data-Driven Decision-Making, Graphing, Histogram, Scatter Plots, Exploratory Data Analysis, Statistical Visualization, Storytelling, Performance Metric, Performance Measurement
4.5
Rating, 4.5 out of 5 stars
8.2K reviews
Beginner · Specialization · 3 - 6 Months
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
Status: New
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Software Development Tools, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
112K reviews
Beginner · Specialization · 3 - 6 Months
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
Google
The Path to Insights: Data Models and Pipelines
Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing
4.7
Rating, 4.7 out of 5 stars
629 reviews
Advanced · 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
Duke University
Virtualization, Docker, and Kubernetes for Data Engineering
Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Data Engineering, Virtualization, Cloud Engineering, Devops Tools, CI/CD, Microservices, Development Environment, Software Development Tools, Application Deployment, Virtual Machines, Software Development, Cloud Development, Database Management, Operational Databases, Command-Line Interface
4
Rating, 4 out of 5 stars
38 reviews
Advanced · Course · 1 - 4 Weeks
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation
4.9
Rating, 4.9 out of 5 stars
97K reviews
Beginner · Course · 1 - 3 Months
IBM
Generative AI for Data Analysts
Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Deep Learning, Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
5.9K reviews
Intermediate · Specialization · 1 - 3 Months
IBM
Data Visualization with Python
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots
4.5
Rating, 4.5 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months