# Data Analytics and Databases on AWS Review (2026): 7.6/10 · Coursera > Independent review of Data Analytics and Databases on AWS Course on Coursera. Rated 7.6/10 by our editorial team. Pros, cons, price, and top alternatives. Ce… Data Analytics and Databases on AWS Course ![Data Analytics and Databases on AWS Course](/api/media/file/hero/data-analytics-and-databases-aws-course.webp?width=800) # Data Analytics and Databases on AWS Course — Review (7.6/10) This course offers a solid introduction to data analytics and AWS database services, ideal for beginners looking to understand cloud data workflows. It clearly explains ETL vs ELT concepts and introdu... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Data Analytics and Databases on AWS Course is a 4 weeks online beginner-level course on Coursera by Amazon Web Services that covers data analytics. This course offers a solid introduction to data analytics and AWS database services, ideal for beginners looking to understand cloud data workflows. It clearly explains ETL vs ELT concepts and introduces core AWS tools. However, it lacks hands-on labs and deep technical exploration. Best suited for those starting their cloud data journey. We rate it 7.6/10. ## Prerequisites No prior experience required. This course is designed for complete beginners in data analytics. ## Pros - Clear introduction to data analytics fundamentals - Excellent overview of ETL and ELT workflows - Taught by AWS, ensuring platform-relevant content - Beginner-friendly with no prior experience required ## Cons - Limited hands-on exercises or coding practice - Does not cover advanced AWS services in depth - Certificate requires payment with no free track ## Data Analytics and Databases on AWS Course Review Platform: Coursera Instructor: Amazon Web Services Updated May 8, 2026·Editorial Standards·How We Rate ## What will you learn in Data Analytics and Databases on AWS course - Understand the fundamentals of data analytics and the value of data-driven decision-making - Learn how data is collected, stored, and processed in cloud environments - Compare ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows - Gain insight into AWS database services and their use cases - Develop a mindset aligned with data analysts for real-world problem solving ### Program Overview ### Module 1: Introduction to Data Analytics Week 1 - What is Data Analytics? - The Role of Data in Business Decisions - Thinking Like a Data Analyst ### Module 2: Data Processing Workflows Week 2 - Understanding ETL vs ELT - Data Pipelines and Integration - Use Cases in Real-World Scenarios ### Module 3: Databases on AWS Week 3 - Overview of AWS Database Services - Relational vs Non-Relational Databases - Choosing the Right Database for Your Needs ### Module 4: Realizing Data Value Week 4 - Querying Data for Insights - Security and Governance in Data Systems - Next Steps in Your Data Journey ### Get certificate #### Job Outlook - High demand for cloud-based data skills across industries - Roles like Data Analyst, Data Engineer, and Cloud Specialist are growing rapidly - Proficiency in AWS platforms boosts employability and salary potential ## Editorial Take As organizations increasingly rely on data, understanding how to manage and analyze it in the cloud is essential. This course from AWS on Coursera provides a foundational entry point into data analytics using Amazon's ecosystem. While not technically intensive, it succeeds in demystifying core concepts for newcomers and aligning learning with real-world data workflows on AWS. It's best suited for those beginning their data journey or transitioning into cloud-based roles. ### Standout Strengths - Industry-Aligned Curriculum: Developed by AWS, the content reflects real-world use cases and current cloud practices. Learners gain insights directly from the platform provider, ensuring relevance and accuracy in foundational topics. - Clear Conceptual Framework: The course excels at explaining abstract ideas like ETL vs ELT in simple, accessible language. This clarity helps beginners build confidence before diving into technical implementations. - Beginner-Friendly Approach: No prior coding or database experience is required. The pacing and explanations are tailored to those new to data, making it an excellent starting point for career switchers or non-technical professionals. - Focus on Data Mindset: Beyond tools, the course emphasizes thinking like a data analyst. This strategic perspective helps learners understand how data informs decisions across business functions. - Integration with AWS Ecosystem: As an official AWS offering, it naturally aligns with other AWS training paths. Completing it builds a foundation for more advanced certifications like AWS Data Analytics or Solutions Architect. - Structured Learning Path: The four-week format is concise and focused. Each module builds logically, helping learners progress from basic concepts to practical applications without feeling overwhelmed. ### Honest Limitations - Limited Hands-On Practice: The course lacks coding exercises or interactive labs. Without practical application, learners may struggle to retain concepts or apply them in real projects. - Surface-Level Technical Depth: While it introduces AWS database services, it doesn’t dive into configuration, querying, or performance tuning. Those seeking technical proficiency will need supplementary resources. - No Free Audit Option: Unlike many Coursera courses, full access requires payment. This limits accessibility for learners testing the waters before committing financially. - Narrow Scope for Experienced Users: Professionals with prior data or cloud experience may find the content too basic. It doesn’t replace more rigorous data engineering or analytics programs. ### How to Get the Most Out of It - Study cadence: Dedicate 3–4 hours per week to complete modules and reflect on concepts. Consistency ensures better retention and understanding of sequential topics. - Parallel project: Create a simple data workflow using AWS Free Tier. Apply ETL/ELT concepts by simulating data extraction and loading into a test database. - Note-taking: Document key differences between ETL and ELT, and map AWS services to real business problems. This reinforces learning and builds a personal reference. - Community: Join AWS and Coursera forums to ask questions and share insights. Engaging with peers helps clarify doubts and exposes you to diverse perspectives. - Practice: Use AWS documentation to explore services mentioned in the course. Even reading sample use cases deepens understanding beyond lecture content. - Consistency: Avoid long gaps between modules. The conceptual nature of the course benefits from steady engagement to build a cohesive mental model. ### Supplementary Resources - Book: 'Data Science on the Google Cloud Platform' by Vallurupalli et al. offers comparable concepts and can broaden understanding of cloud data systems. - Tool: Use AWS Free Tier to experiment with RDS, Redshift, and Glue. Hands-on exploration bridges the gap between theory and practice. - Follow-up: Enroll in 'AWS Fundamentals: Building Cloud-Native Applications' to deepen cloud development skills after this course. - Reference: AWS Whitepapers on data lakes and analytics provide in-depth technical guidance for those wanting to go beyond the course material. ### Common Pitfalls - Pitfall: Assuming this course teaches SQL or data modeling. It introduces concepts but doesn’t provide technical training in querying or schema design. - Pitfall: Expecting certification eligibility. The course certificate is not the same as AWS certification and doesn’t grant exam vouchers. - Pitfall: Skipping modules due to simplicity. Even basic sections contain framing and context essential for understanding later AWS data courses. ### Time & Money ROI - Time: At 4 weeks, the time investment is reasonable for a foundational course. Most learners can complete it without disrupting work or study schedules. - Cost-to-value: Priced as part of Coursera’s subscription, it offers moderate value. The lack of free access reduces ROI for budget-conscious learners. - Certificate: The credential is useful for LinkedIn or resumes, especially when combined with other AWS training, but not industry-recognized on its own. - Alternative: Free AWS Skill Builder courses cover similar topics. Consider those first if you're unsure about committing financially. ### Editorial Verdict This course serves as a solid gateway into AWS data analytics for beginners. It delivers on its promise to introduce core concepts like ETL/ELT, data thinking, and AWS database services in a clear, structured way. While it doesn’t turn learners into data engineers overnight, it builds the conceptual foundation necessary for more advanced study. The content is relevant, professionally presented, and aligned with industry trends—making it a worthwhile starting point for those new to cloud data platforms. However, its value is maximized only when paired with hands-on practice and further learning. The lack of free access and limited interactivity may deter some, and experienced users will find little new. Still, for career starters or professionals exploring data roles, it offers a low-risk way to assess interest and build initial credibility. We recommend it as a first step—just don’t expect it to be the last. Pair it with practical projects and deeper AWS training to truly unlock career potential. ## How Data Analytics and Databases on AWS Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Data Analytics and Databases on AWS Course | Coursera | 7.6/10 | Beginner | 4 weeks | | Snowflake for Data Engineers: Architecture & Performance Course | Udemy | 9.8/10 | N/A | N/A | | Data Analytics with R Programming Certification Training Course | Edureka | 9.7/10 | N/A | N/A | | Data Visualization and Analysis With Seaborn Library Course | Educative | 9.7/10 | N/A | N/A | ## Who Should Take Data Analytics and Databases on AWS Course? This course is best suited for learners with no prior experience in data analytics. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by Amazon Web Services on Coursera, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a course certificate that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers. If you are exploring adjacent fields, you might also consider courses in Agile & Scrum Courses, AI Courses, Arts and Humanities Courses, which complement the skills covered in this course. ### Career Outcomes - Apply data analytics skills to real-world projects and job responsibilities - Qualify for entry-level positions in data analytics and related fields - Build a portfolio of skills to present to potential employers - Add a course certificate credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Data Analytics Courses on Coursera Explore other highly rated courses in data analytics available on Coursera to expand your learning path: - Data Visualization with Tableau Specialization Course 9.7/10 - Learn SQL Basics for Data Science Specialization Course 9.5/10 - Financial Analyst Ai Excel and Power Bi Skills 9.1/10 - Facebook Marketing Analytics 8.9/10 - Data Analytics 8.8/10 - Geospatial Analysis with ArcGIS Course 8.7/10 - Chat with Your Data: Generative AI-Powered SQL Data Analysis 8.7/10 - Inclusive Analytic Techniques Course 8.7/10 - Future of Data and Technology in Football 8.7/10 - Financial Statements in Power BI Course 8.7/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated data analytics courses from other platforms cover similar ground: - Snowflake for Data Engineers: Architecture & Performance Course 9.8/10 Udemy - Data Analytics with R Programming Certification Training Course 9.7/10 Edureka - Data Visualization and Analysis With Seaborn Library Course 9.7/10 Educative - PredictionX course 9.7/10 EDX - API Analytics for Product Managers Course 9.6/10 Educative - Statistics Essentials for Analytics Course 9.6/10 Edureka - Accelerate Your Career in DATA: 2026 Job Seekers Playbook 9.5/10 Udemy - Data Vault: An Introduction Course 9.5/10 Udemy - The Complete Data Visualization & Storytelling Bootcamp Course 9.5/10 Udemy - MICROSOFT POWER BI: Power BI Certification in 1 Hour Course 9.5/10 Udemy ## More Courses from Amazon Web Services Amazon Web Services offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - AWS Cloud Technology Consultant Professional Certificate Course 9.8/10 - AWS Cloud Solutions Architect Professional Certificate Course 9.8/10 - DeepLearning.AI Data Engineering Professional Certificate Course 9.8/10 - AWS Cloud Technical Essentials Course 9.7/10 - AWS Cloud Support Associate Professional Certificate Course 9.7/10 - AWS Cloud Practitioner Essentials Course 9.7/10 - Amazon Junior Software Developer Professional Certificate Course 9.7/10 - AWS Fundamentals Specialization Course 9.7/10 View all courses from Amazon Web Services → ## Related Articles & Guides Deepen your understanding with these articles from our editorial team, covering career advice, industry trends, and learning strategies: - Build AI skills with the Google AI Professional Certificate - Python Tutorial: Best Courses to Learn Python in 2026 - CISSP vs CompTIA Security+: Which Cert Should You Pursue? - Coursera Data Analytics Professional Certificate: Worth It in 2026? - Best edX Courses in 2026: Top Picks by Enrollment and Career Value - Best Online Coursera Courses in 2026: What's Actually Worth Your Time - Udemy Online: What the Platform Actually Delivers in 2026 - OKR for Leaders: 7 Best Training Courses Compared (2026) - Generative AI for Marketing with Microsoft 365 Copilot: Professional Certificate Review - The Best React Courses in 2026, Ranked and Reviewed ## Explore All Course Categories Not sure what to learn next? Browse our full catalog of course categories to find the right fit for your career goals: Agile & Scrum Courses AI Courses Arts and Humanities Courses Business & Management Courses Cloud Computing Courses Computer Science Courses Construction Management Courses Cybersecurity Courses Data Analyst Courses Data Analytics Courses Data Engineering Courses Data Science Courses Design Courses Developer Courses Economics & Finance Courses Education & Teacher Training Courses Entrepreneurship Courses Excel Courses Finance Courses Game Development Courses Graphic Design Courses Health Science Courses Information Technology Courses Language Learning Courses Leadership Courses Lifestyle Courses Machine Learning Courses Marketing Courses Math and Logic Courses Music Courses Negotiation Courses Office Productivity Courses Other Personal Development Courses Photography & Videography Courses Physical Science and Engineering Courses Project Management Courses Python Courses SEO Courses Social Media Marketing Courses Social Sciences Courses Software Development Courses Supply Chain Management Courses Teaching Courses Uncategorized UX Design Courses Web Development Courses Explore related topics Data Analyst Data Science Excel Machine Learning Business & Management Explore Related Topics Best Data Analytics Courses Learning Path Best IT Certification Courses Browse All Courses ## User Reviews No reviews yet. Be the first to share your experience! ## FAQs What are the prerequisites for Data Analytics and Databases on AWS Course? No prior experience is required. Data Analytics and Databases on AWS Course is designed for complete beginners who want to build a solid foundation in Data Analytics. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners. Does Data Analytics and Databases on AWS Course offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from Amazon Web Services. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Data Analytics can help differentiate your application and signal your commitment to professional development. How long does it take to complete Data Analytics and Databases on AWS Course? The course takes approximately 4 weeks to complete. It is offered as a paid course on Coursera, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably. What are the main strengths and limitations of Data Analytics and Databases on AWS Course? Data Analytics and Databases on AWS Course is rated 7.6/10 on our platform. Key strengths include: clear introduction to data analytics fundamentals; excellent overview of etl and elt workflows; taught by aws, ensuring platform-relevant content. Some limitations to consider: limited hands-on exercises or coding practice; does not cover advanced aws services in depth. Overall, it provides a strong learning experience for anyone looking to build skills in Data Analytics. How will Data Analytics and Databases on AWS Course help my career? Completing Data Analytics and Databases on AWS Course equips you with practical Data Analytics skills that employers actively seek. The course is developed by Amazon Web Services, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market. Where can I take Data Analytics and Databases on AWS Course and how do I access it? Data Analytics and Databases on AWS Course is available on Coursera, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is paid, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on Coursera and enroll in the course to get started. How does Data Analytics and Databases on AWS Course compare to other Data Analytics courses? Data Analytics and Databases on AWS Course is rated 7.6/10 on our platform, placing it as a solid choice among data analytics courses. Its standout strengths — clear introduction to data analytics fundamentals — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding. What language is Data Analytics and Databases on AWS Course taught in? Data Analytics and Databases on AWS Course is taught in English. Many online courses on Coursera also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction. Is Data Analytics and Databases on AWS Course kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Amazon Web Services has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate. Can I take Data Analytics and Databases on AWS Course as part of a team or organization? Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like Data Analytics and Databases on AWS Course. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build data analytics capabilities across a group. What will I be able to do after completing Data Analytics and Databases on AWS Course? After completing Data Analytics and Databases on AWS Course, you will have practical skills in data analytics that you can apply to real projects and job responsibilities. You will be prepared to pursue more advanced courses or specializations in the field. Your course certificate credential can be shared on LinkedIn and added to your resume to demonstrate your verified competence to employers. ## Similar Courses Other courses in Data Analytics Courses ![Accounting Data Analytics with Python Course](/api/media/file/uploads/2026/04/1775122758765-accounting-data-analytics-python-course.webp?width=480) Coursera Python Courses ### Accounting Data Analytics with Python Course ★★★★½ Coursera View Course » Enroll ![RA: Data Science and Supply Chain Analytics A-Z with Python](/api/media/file/hero/ra-data-science-supply-chain-analytics-python-course.jpg?width=480) Udemy Data Science Courses ### RA: Data Science and Supply Chain Analytics A-Z with Python ★★★★½ Udemy View Course » Enroll ![Data Analytics with Python Course](/api/media/file/hero/data-analytics-with-python-course.webp?v=2?width=480) Coursera Data Analytics Courses ### Data Analytics with Python Course ★★★★½ Coursera View Course » Enroll ![Python Data Products for Predictive Analytics Specialization](/api/media/file/hero/python-data-products-for-predictive-analytics-course.webp?width=480) Coursera Data Science Courses ### Python Data Products for Predictive Analytics Specialization ★★★★☆ Coursera View Course » Enroll ![Modern Data Analytics with Python, Excel & Generative AI](/api/media/file/hero/modern-data-analytics-with-python-excel-and-genai-course.webp?width=480) Coursera Data Analytics Courses ### Modern Data Analytics with Python, Excel & Generative AI ★★★½☆ Coursera View Course » Enroll ![Python for Data Analytics Course](/api/media/file/hero/python-for-data-analytics-course.webp?width=480) Coursera Data Analytics Courses ### Python for Data Analytics Course ★★★½☆ Coursera View Course » Enroll ## Related Job Opportunities ### High School Teacher Asian College Of Teachers is a trading brand of TTA Training Pvt. Ltd Warszawa, PL Full-Time PLN 54–86/yr ### Alternance chargé(e) de communication & marketing produit SaaS - Paris (F/H) OKTOGONE Paris, FR Full-Time ### Bautechnik Freileitungsmast Planung Infrastruktur (m/w/d) 50Hertz Transmission GmbH Berlin, DE Full-Time ### Ingenieur Energietechnik als Projektmanager Inbetriebnahme & Dokumentation (m/w/d) 50Hertz Transmission GmbH Berlin, DE Full-Time ### IT Governance Compliance Managerin (m/w/d) 50Hertz Transmission GmbH Berlin, DE Full-Time Browse more jobs on JobsNearMe.career → ### Explore Related Categories All Data Analytics Courses Explore Course Reviews AWS & Cloud Courses ### Review: Data Analytics and Databases on AWS Course Your Name * Email (optional, not displayed) Rating * Your Review * ### Discover More Course Categories Explore expert-reviewed courses across every field Data Science Courses AI Courses Python Courses Machine Learning Courses Web Development Courses Cybersecurity Courses Data Analyst Courses Excel Courses Cloud & DevOps Courses UX Design Courses Project Management Courses SEO Courses Agile & Scrum Courses Business Courses Marketing Courses Software Dev Courses Browse all 10,000+ courses »