Amazon (AWS) QuickSight, Glue, Athena and S3 Fundamentals

🚀 **Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals Course** 🌟 Are you **struggling with Big Data Analytics** and looking to create captivating visualizations using AWS QuickSight? 🤔✨ Look no further! The **Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course** is here to guide you through a solid understanding of these powerful tools, all while applying them in a hands-on learning environment. 🎓 **Course Description** Are you a **company**, **Data Analyst**, **Business Analyst**, **Web Developer**, **IT administrator**, **Data Center Architect**, **Project Manager**, or an **Enterprise Architect**? Or perhaps a **programmer** looking to elevate your career and acquire new skills in Big Data Analytics with AWS? 💻 Welcome to our unique course that goes beyond the basics, offering intermediate-level skills that will set you apart in the field. With its flipped classroom model, this course ensures a direct dive into the subject matter as you embark on your learning journey. Be sure to **preview the lecture 'Structure of the course & meet your instructor'"** for a glimpse of what's in store! 🔍 **What You'll Learn:** - **Create robust visualizations using AWS QuickSight** 📊 - **Understand Serverless computing, AWS Athena, AWS Glue, and S3 concepts** 🛠️ - **Import Data Sets into AWS S3 and create a Virtual Private Cloud (VPC) connection** 🗃️➡️🌐 - **Build a complete Workflow with AWS Data Lake** 💧 - **Work with multiple data sets, create databases and tables, and observe QuickSight's visualization capabilities** 🔍 - **Learn the difference between AWS QuickSight and Microsoft Power BI** 🏆 - **Valuable resources, sample data sets included!** 📚 This course is meticulously crafted by a team of **industry-recognized Big Data architects and certified consultants** from ClayDesk to ensure you receive the best education possible. 🏗️🎓 🚀 **Why Enroll in This Course?** - Gain a solid understanding of AWS concepts (AWS S3, Glue, Athena, QuickSight) 🌐 - Marketable skills as an IT expert and professional 🤝 - Not designed for advanced level students - perfect for beginners to intermediate users! - Comprehensive course with hands-on application 👩‍💻✨ - **Certification of completion** to add to your credentials! 🏆 🗣️ **Student Testimonials:** "It is such a comprehensive course that I don’t need to take any other for the important concepts and hand-on application with AWS QuickSight, Glue, Athena, & S3. I highly recommend it!" - Marcy Stevens 🌟 "This is such an awesome course with clear instruction and a wonderful learning experience!" - James Carlos 🚀 Join the ranks of **thousands of students** who have enhanced their knowledge and shared valuable experiences through this course. 🎓✨ 👩‍🏫 **Instructor's Experience:** As a senior **Enterprise Architect & Project Manager** with experience managing enterprise-level IT projects, and as a **Microsoft Certified Systems Engineer & Trainer**, I am excited to share my expertise and transfer skills to my students. Let's revolutionize your learning and keep you at the forefront of Big Data Analytics with AWS QuickSight. 🌟 Enroll now in the **Amazon (AWS) QuickSight, Glue, Athena & S3 Fundamentals course** and unlock bigger, brighter opportunities! 🌍🚀 See you in class, Syed and Team ClayDesk 👋📚💫

--- **Course Review for "AWS Data Analytics with QuickSight"** **Overview:** The course titled "AWS Data Analytics with QuickSight" aims to provide a comprehensive understanding of AWS data analytics tools, with a focus on QuickSight, AWS Glue, Athena, and S3. It is designed for learners who wish to grasp the fundamentals of these services and how they can be integrated to create a robust analytics solution. **Pros:** - **Content Focus**: The majority of the course content (around 90%) is dedicated to QuickSight, which is ideal for learners looking to master this service. (Review 1) - **Basic Coverage**: The course covers basic topics that are foundational for understanding AWS data analytics tools and are typically available in free Amazon documentation, providing a good starting point for beginners. (Review 2) - **Integration Mentioned**: Some reviews indicate that the course touches upon integration between AWS Glue, Athena, and QuickSight, albeit not extensively. (Reviews 3 & 6) - **Learning Experience**: The course is praised for making complex subjects more accessible and for encouraging self-directed learning by occasionally presenting information in a confusing manner. This can amplify the learning experience as it prompts learners to solve problems on their own. (Review 5) - **Keeping Content Updated**: Learners appreciate that the instructor maintains the course content up-to-date with recent AWS updates. (Review 7) - **Overview and Depth**: The early sections of the course are commended for providing an excellent overview, while the later sections allow learners to skim through if they already have knowledge in certain areas like relational databases or BI technologies. (Reviews 8 & 9) - **Course Structure**: Some learners found the initial focus on QuickSight and the eventual coverage of how-to and core concepts effective, despite the confusion caused by the jumps in content structure. (Reviews 10 & 11) **Cons:** - **Confusing Structure**: Several reviews note that the course's structure is confusing, with some learners indicating that the lectures are jumbled and lack a clear sequence. The initial lecture on handson with QuickSight is followed by an explanation of what QuickSight is, which can be disorienting. (Reviews 9, 11 & 13) - **Course Name Misleading**: A few learners point out that the course title is misleading as the course primarily focuses on QuickSight and not as much on S3 or AWS Glue. (Reviews 10 & 12) - **Repetition**: Some learners experienced repetition within the course, with certain concepts being explained multiple times without adding additional value. (Reviews 14 & 16) - **Outdated Content**: There are concerns about the course not being updated promptly, with some topics being repeated and others containing significant errors, like issues with populating Athena tables from CSV files in an S3 bucket. (Reviews 15 & 18) - **Need for Lab Sheets**: A learner suggests that providing actual lab sheets or exercises would enhance the practical learning experience by allowing hands-on practice of the concepts taught. (Review 14) - **Outdated AWS Dashboards**: Some learners mention that the AWS dashboards shown in the course are outdated and need to be updated. (Review 17) **Course Improvements:** - Address the confusing structure by reorganizing the lectures into a logical sequence that guides learners from basic to advanced topics more smoothly. - Update the content regularly, especially when errors like those in the 8th lecture are reported, to ensure accuracy and relevance. - Provide learners with practical exercises or lab sheets to complement the theoretical instructions. - Consider renaming the course to better reflect its content, focusing on QuickSight while still indicating that related AWS services (Glue, Athena, S3) are also covered. **Final Thoughts:** The "AWS Data Analytics with QuickSight" course offers a solid foundation in QuickSight and touches upon other relevant AWS analytics tools. However, its effectiveness is somewhat hampered by its structure and content accuracy issues. With improvements in organization, updates, and practical applications, it could become a more valuable resource for learners interested in AWS data analytics. ---