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

Find the Best Data Engineering Course for Your Goals

Google
Share Data Through the Art of Visualization
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines
4.6
Rating, 4.6 out of 5 stars
9.6K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
MathWorks
Systems Engineering
Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Systems Design, Functional Design, Requirements Analysis, System Requirements, Requirements Elicitation, Functional Requirement, Verification And Validation
4.8
Rating, 4.8 out of 5 stars
226 reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM Data Analytics with Excel and R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
28K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Process Data from Dirty to Clean
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Structures, 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
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Scatter Plots, Apache Spark, Pivot Tables And Charts, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Databases, Computer Programming Tools, Automation, Data Analysis Software, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
71K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Georgia Institute of Technology
Applications in Engineering Mechanics
Skills you'll gain: Structural Analysis, Structural Engineering, Engineering Analysis, Mechanical Engineering, Mechanics, Engineering
4.8
Rating, 4.8 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
99K reviews
Beginner · Specialization · 3 - 6 Months