Data Analysis and Reporting: Excel, QuickSight, and SSRS

EDUCBA via Coursera Specialization

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Build practical data analysis, dashboarding, automation, and business reporting skills using Excel, AWS QuickSight, and SSRS. Transform complex datasets into clear insights, interactive dashboards, and professional enterprise reports. This Specialization provides a structured learning path across spreadsheet analytics, cloud-based business intelligence, and SQL Server reporting. You will apply advanced Excel formulas, lookup functions, named ranges, data structuring techniques, and macros to analyze data and automate repetitive workflows. You will then use AWS QuickSight to prepare datasets, create charts, apply filters, use conditional formatting, design multiple dashboard sheets, and communicate insights to different audiences. A project-based course guides you through building a complete Covid-19 dashboard using a real-world dataset. The final course develops practical SSRS skills, including report formatting, grouping, expressions, parameters, drill-down functionality, charts, linked reports, and subreports. By completing the Specialization, you will be prepared to create efficient analytical workflows and deliver accurate, interactive, and decision-ready business reports.

Syllabus

Course 1: Advanced Excel for Data Analysis & Automation
Course 2: Analyze and Build Dashboards Using AWS QuickSight
Course 3: Build AWS QuickSight Dashboards with Covid-19 Data
Course 4: Build and Analyze SSRS Reports with SQL Server

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Learners will understand the fundamentals of AWS QuickSight, analyze datasets, apply data visualization techniques, and construct professional, insight-driven dashboards for business decision-making. By the end of this course, learners will be able to transform raw data into meaningful visual insights using industry-standard business intelligence practices. This course is designed to provide a structured, hands-on learning experience with AWS QuickSight, starting from project orientation and core concepts to advanced visualizations and dashboard design. Learners will gain practical exposure to adding datasets, creating charts, working with multiple sheets, applying themes, using tables and conditional formatting, and designing dashboards tailored to different audiences. Completing this course equips learners with in-demand data analytics skills that are directly applicable in real-world business environments. Unlike theory-heavy programs, this course emphasizes practical workflows, guided demonstrations, and best practices for building scalable, cloud-native dashboards. Whether learners are aspiring data analysts, business intelligence professionals, or working professionals seeking to enhance reporting capabilities, this course offers a clear, job-relevant pathway to mastering AWS QuickSight and delivering actionable insights with confidence.
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By the end of this course, learners will be able to analyze real-world datasets, apply AWS QuickSight features, design effective data visualizations, and build interactive, insight-driven dashboards for business reporting. This hands-on course guides learners through a complete AWS QuickSight case study focused on creating a Covid-19 dashboard, helping them move from raw data to polished, shareable analytics solutions. Learners will gain practical experience navigating the AWS Management Console, working with datasets and fields, applying filters, selecting appropriate chart types, and using advanced features such as conditional formatting, multiple sheets, and themes. What makes this course unique is its end-to-end, project-based approach. Instead of learning isolated features, learners follow a structured workflow that mirrors real-world business intelligence projects. Each step is demonstrated in sequence, ensuring clarity, continuity, and practical relevance. By completing this course, learners will strengthen their data visualization skills, improve analytical thinking, and build confidence in using AWS QuickSight to communicate insights effectively. This course is ideal for aspiring data analysts, BI professionals, and cloud practitioners who want job-ready, applied experience with AWS analytics tools.
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By the end of this course, learners will be able to build structured SSRS reports, apply formatting and data organization techniques, design interactive parameter-driven reports, and implement advanced reporting features such as charts, linked reports, and subreports using SQL Server Reporting Services. This course provides a comprehensive, hands-on pathway to mastering SSRS reporting, starting from core Business Intelligence concepts and progressing through real-world report development scenarios. Learners will gain practical experience using SQL Server Data Tools (SSDT) to create professional, paginated reports that support business decision-making. Through structured modules, the course covers report creation, formatting, grouping, expressions, parameters, drill-down functionality, and reusable reporting components. What makes this course unique is its end-to-end focus on practical reporting skills, aligned closely with industry workflows rather than isolated features. Each concept builds logically on the previous one, ensuring learners not only understand how SSRS works, but why each reporting decision matters. Upon completion, learners will be well-equipped to design scalable, interactive, and maintainable SSRS reports suitable for enterprise and business intelligence environments.
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Learn how to apply advanced Excel techniques, analyze complex datasets, and automate repetitive tasks to improve productivity and decision-making in professional environments. This course provides practical skills in advanced formulas, lookup functions, data structuring, and Excel automation using macros. The course begins with mastering Excel foundations and speed techniques, helping learners improve efficiency through keyboard shortcuts, navigation methods, and interface controls that streamline daily data operations. Learners will develop faster and smarter ways to work with spreadsheets and large datasets. As the course progresses, learners focus on enhancing interaction and data structuring using Excel controls, comments, named ranges, and advanced formulas. The course explains how to organize business data effectively, improve collaboration, and create structured workflows for accurate analysis and reporting. Advanced modules cover complex calculations, logical functions, lookup techniques, and workflow automation using macros. Learners will gain hands-on experience in reducing manual effort, automating repetitive processes, and performing high-level data analysis using practical business scenarios. What makes this course unique is its application-focused approach that combines productivity enhancement, advanced analytical techniques, and automation into one structured learning journey. By the end of the course, learners will be able to confidently analyze data, automate Excel workflows, optimize reporting processes, and apply advanced spreadsheet skills in real-world business environments.