Go to Course: https://www.coursera.org/learn/data-analysis-reporting-sas-va
## Course Review: Data Analysis and Reporting in SAS Visual Analytics In the rapidly evolving world of data analytics, having a robust skill set to interpret data effectively can set you apart from the competition. The **Data Analysis and Reporting in SAS Visual Analytics** course on Coursera provides an essential foundation for anyone looking to harness the power of SAS Viya for data analysis and reporting. ### Course Overview This course presents a detailed walkthrough of how to leverage **SAS Visual Analytics**, focusing on data manipulation, discovery, and reporting. By engaging in practical scenarios, you will learn to navigate the SAS Viya environment seamlessly, making complex data insights accessible and actionable. ### Syllabus Breakdown 1. **Course Overview** - This introductory module sets the stage for your learning journey. You’ll be introduced to a relevant business scenario that provides context to the data analysis techniques you will learn. Additionally, it guides you on where to find necessary files and resources within the SAS Viya platform, ensuring you are oriented and ready to dive into the content. 2. **Analyzing Data Using SAS Visual Analytics** - In this module, you will get a clear understanding of how to analyze data using the functionalities of SAS Visual Analytics. The course takes a hands-on approach where you will learn to modify and prepare data for in-depth analysis. Through engaging tasks and practical demonstrations, you will develop the skills needed to uncover insights from data efficiently. 3. **Designing Reports with SAS Visual Analytics** - The final module focuses on designing impactful and interactive reports. Here, you will learn to present your analysis visually and narratively, ensuring your findings resonate with stakeholders. The course emphasizes best practices in report design, helping you communicate your insights clearly and effectively. ### Why You Should Enroll - **Practical Skills**: The course is filled with practical examples and exercises that allow you to apply what you learn in real-world scenarios. - **Expert Guidance**: You will be mentored by experienced instructors who provide insights into the industry standards and practices within data analytics. - **Flexible Learning**: As a Coursera course, it offers the flexibility to learn at your own pace, making it accessible whether you have a busy professional schedule or are a full-time student. - **In-Demand Skills**: With increasing reliance on data-driven decision-making, proficiency in tools like SAS is a valuable asset in various industries, from healthcare to finance to marketing. ### Conclusion If you are looking to enhance your analytical capabilities and become proficient in using SAS Visual Analytics, this course is highly recommended. It equips you with the necessary skills to analyze and report data effectively, making you an asset to any team focused on leveraging data for business growth. Enroll today and take your first step towards mastering data analysis and reporting using SAS Visual Analytics!
Course Overview
In this module, you learn about the business scenario that you will follow for this course and where the files are located in SAS Viya for Learners.
Analyzing Data Using SAS Visual AnalyticsIn this module, you learn how to analyze data using SAS Visual Analytics.
Designing Reports with SAS Visual AnalyticsIn this module, you learn how to design and create reports in SAS Visual Analytics.
In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.
A good course and I enjoyed doing the practices. Thanks.
I have really learned alot in this course.. Thank you for such an intuitive explanation
Thank you for providing me this wonderful opportunity
Its was a great course which provide hand on pratice using assignment/exercise. SAS App performance need to be boosted to save time.
Thank you very much for such a wonderful experience of understanding and using SAS VA.\n\nRegards\n\nArchana Lakhe