# Everyday Excel, Part 2 Review (2026): 8.7/10 · Coursera · Paid > Independent review of Everyday Excel, Part 2 Course on Coursera. Rated 8.7/10 by our editorial team. Pros, cons, price, and top alternatives. Certificate ava… Everyday Excel, Part 2 Course ![Everyday Excel, Part 2 Course](/api/media/file/hero/everyday-excel-part-2-course.webp?v=2?width=800) # Everyday Excel, Part 2 Course — Review (8.7/10) Everyday Excel, Part 2 is a well-structured continuation that effectively teaches modern Excel features, especially dynamic arrays. It's ideal for intermediate users looking to upgrade their skills. W... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Everyday Excel, Part 2 Course is a 4 weeks online intermediate-level course on Coursera by University of Colorado Boulder that covers data analytics. Everyday Excel, Part 2 is a well-structured continuation that effectively teaches modern Excel features, especially dynamic arrays. It's ideal for intermediate users looking to upgrade their skills. While it assumes prior knowledge, the pacing is solid and practical. Some may find the content narrow, but the depth justifies the focus. We rate it 8.7/10. ## Prerequisites Basic familiarity with data analytics fundamentals is recommended. An introductory course or some practical experience will help you get the most value. ## Pros - Comprehensive coverage of modern Excel dynamic array functions - Practical, hands-on approach with real-world data scenarios - Clear explanations from experienced university instructor - Excellent for upskilling in data manipulation and automation ## Cons - Assumes familiarity with Part 1, limiting accessibility for beginners - Focus is narrow, primarily on Excel functions, not broader data science - Some features require newer versions of Excel (2020+) ## Everyday Excel, Part 2 Course Review Platform: Coursera Instructor: University of Colorado Boulder Updated Apr 26, 2026·Editorial Standards·How We Rate ## What will you learn in Everyday Excel, Part 2 course - Master the use of dynamic array functions introduced in Excel 2020, such as FILTER, SORT, UNIQUE, and SEQUENCE - Apply modern Excel techniques to automate data analysis and reporting workflows - Build complex, interactive dashboards using dynamic formulas and structured references - Utilize advanced lookup and reference functions including XLOOKUP and XMATCH - Enhance data manipulation efficiency with spill ranges and array-based calculations ### Program Overview ### Module 1: Introduction to Dynamic Arrays Week 1 - What are dynamic arrays? - Understanding spill ranges - Using SEQUENCE and RANDARRAY functions ### Module 2: Advanced Data Functions Week 2 - Working with FILTER function - Sorting and limiting results with SORT and SORTBY - Extracting unique values using UNIQUE ### Module 3: Lookup and Reference Modernization Week 3 - Introduction to XLOOKUP - Replacing VLOOKUP and HLOOKUP with XMATCH - Combining lookups with dynamic arrays ### Module 4: Practical Applications and Projects Week 4 - Building dynamic dashboards - Automating reports with dynamic formulas - Final project: Real-world data analysis scenario ### Get certificate #### Job Outlook - Excel remains a critical tool in business, finance, and data roles across industries - Proficiency in modern Excel functions increases efficiency and employability - Dynamic array skills set candidates apart in data-heavy job markets ## Editorial Take Everyday Excel, Part 2, offered by the University of Colorado Boulder on Coursera, is a focused, skill-driven course designed for learners who have completed the first installment or possess equivalent Excel knowledge. It dives deep into the transformative dynamic array functions introduced in Excel 2020, making it a timely and relevant resource for professionals aiming to modernize their spreadsheet expertise. ### Standout Strengths - Modern Excel Mastery: The course thoroughly covers dynamic array functions like FILTER, SORT, UNIQUE, and SEQUENCE, which are foundational to 'modern' Excel. These tools enable users to create powerful, self-updating formulas without complex macros or VBA. - Real-World Applicability: Each module includes practical exercises that mirror actual business tasks, such as cleaning datasets, generating reports, and building dashboards. This applied learning ensures skills transfer directly to workplace environments. - Expert Instruction: Taught by a seasoned university instructor, the content benefits from academic rigor and clarity. Explanations are methodical, avoiding unnecessary jargon while maintaining technical accuracy for intermediate learners. - Seamless Progression: As a sequel, it builds logically on Part 1, reinforcing prior knowledge while introducing advanced concepts. The pacing is steady, allowing learners to absorb new functions without feeling overwhelmed. - Efficiency Gains: Dynamic arrays eliminate the need for helper columns and manual range adjustments. The course emphasizes these productivity boosts, teaching users how to streamline workflows and reduce error-prone steps. - Future-Proof Skills: With Microsoft continuing to expand dynamic array capabilities, proficiency in these functions positions users ahead of the curve. The course prepares learners for evolving Excel standards and enterprise adoption trends. ### Honest Limitations - Software Requirements: Dynamic arrays require Excel 365 or Excel 2021. Learners using older versions cannot practice the core content, creating a barrier to hands-on learning despite course enrollment. - Narrow Scope: While excellent for Excel functions, it does not cover broader data analytics tools like Power Query or Power Pivot. Those seeking a comprehensive data pipeline may need supplementary resources. - Limited Automation Depth: Although it touches on automation through formulas, it doesn't explore VBA or macros. Advanced users looking for full automation solutions may find the coverage insufficient. ### How to Get the Most Out of It - Study cadence: Dedicate 3–4 hours weekly to complete modules and practice exercises. Consistent, spaced practice reinforces retention and skill mastery over time. - Parallel project: Apply each new function to a personal or work-related spreadsheet. Real-world application deepens understanding and demonstrates immediate value. - Note-taking: Maintain a digital notebook with formula syntax and use cases. This becomes a quick-reference guide for future Excel tasks. - Community: Engage in Coursera discussion forums to share challenges and solutions. Peer interaction enhances learning and exposes users to diverse problem-solving approaches. - Practice: Recreate examples from scratch without copying. This builds muscle memory and confidence in applying functions independently. - Consistency: Complete assignments immediately after lectures while concepts are fresh. Delaying practice reduces comprehension and slows progress. ### Supplementary Resources - Book: 'Excel 365 Bible' by Michael Alexander provides comprehensive coverage of dynamic arrays and integrates well with course content. - Tool: Use Microsoft’s free Excel Online to access dynamic arrays if desktop version is unavailable, though with some feature limitations. - Follow-up: Enroll in data visualization or Power BI courses to extend Excel skills into dashboards and reporting platforms. - Reference: Microsoft’s official documentation on dynamic arrays serves as a reliable, up-to-date syntax and troubleshooting guide. ### Common Pitfalls - Pitfall: Skipping practice exercises leads to superficial understanding. Dynamic arrays require hands-on experience to internalize behaviors like spill ranges and error handling. - Pitfall: Misunderstanding array behavior can cause #SPILL! errors. Learners must understand range conflicts and how Excel resolves dynamic outputs. - Pitfall: Overlooking backward compatibility issues. Dynamic array formulas won’t work in older Excel versions, which can cause problems when sharing files with colleagues. ### Time & Money ROI - Time: At 4 weeks with 3–5 hours per week, the time investment is modest and fits around most schedules, making it ideal for working professionals. - Cost-to-value: While paid, the course offers high value for those using Excel daily. The efficiency gains alone can justify the cost through time savings. - Certificate: The credential enhances resumes, particularly for roles requiring data management, though it's less impactful than industry-specific certifications. - Alternative: Free YouTube tutorials exist but lack structure and depth; this course provides a curated, accredited learning path with assessments. ### Editorial Verdict Everyday Excel, Part 2 stands out as a focused, high-quality course for learners ready to transition from traditional to modern Excel workflows. Its emphasis on dynamic array functions addresses a critical gap in many users' skill sets, particularly those who have relied on legacy methods like VLOOKUP or manual data filtering. By teaching tools that automate and simplify complex tasks, the course delivers tangible productivity benefits that extend into real-world applications across finance, operations, and data analysis roles. The instruction is clear, the pacing appropriate, and the practical exercises reinforce learning effectively. While it won’t replace a full data science curriculum, it fills a vital niche in the productivity software space. For intermediate Excel users, especially those in business or administrative roles, this course offers excellent value. We recommend it to anyone looking to future-proof their spreadsheet skills and gain a competitive edge through smarter, faster data manipulation in Excel. ## How Everyday Excel, Part 2 Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Everyday Excel, Part 2 Course | Coursera | 8.7/10 | Intermediate | 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 Everyday Excel, Part 2 Course? This course is best suited for learners with foundational knowledge in data analytics and want to deepen their expertise. Working professionals looking to upskill or transition into more specialized roles will find the most value here. The course is offered by University of Colorado Boulder 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 - Advance to mid-level roles requiring data analytics proficiency - Take on more complex projects with confidence - 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 University of Colorado Boulder University of Colorado Boulder offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - Excel/VBA for Creative Problem Solving Specialization Course 9.8/10 - Agile Leadership Organization Course 9.7/10 - Advanced Clinical Data Science Course 9.7/10 - Motors and Motor Control Circuits Course 9.7/10 - Algebra and Differential Calculus for Data Science Course 9.7/10 - FPGA Design for Embedded Systems Specialization Course 9.7/10 - Renewable Energy Specialization Course 9.7/10 - Power Electronics Specialization Course 9.7/10 View all courses from University of Colorado Boulder → ## 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? 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Be the first to share your experience! ## FAQs What are the prerequisites for Everyday Excel, Part 2 Course? A basic understanding of Data Analytics fundamentals is recommended before enrolling in Everyday Excel, Part 2 Course. Learners who have completed an introductory course or have some practical experience will get the most value. The course builds on foundational concepts and introduces more advanced techniques and real-world applications. Does Everyday Excel, Part 2 Course offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from University of Colorado Boulder. 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 Everyday Excel, Part 2 Course? The course takes approximately 4 weeks to complete. It is offered as a free to audit 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 Everyday Excel, Part 2 Course? Everyday Excel, Part 2 Course is rated 8.7/10 on our platform. Key strengths include: comprehensive coverage of modern excel dynamic array functions; practical, hands-on approach with real-world data scenarios; clear explanations from experienced university instructor. Some limitations to consider: assumes familiarity with part 1, limiting accessibility for beginners; focus is narrow, primarily on excel functions, not broader data science. Overall, it provides a strong learning experience for anyone looking to build skills in Data Analytics. How will Everyday Excel, Part 2 Course help my career? Completing Everyday Excel, Part 2 Course equips you with practical Data Analytics skills that employers actively seek. The course is developed by University of Colorado Boulder, 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 Everyday Excel, Part 2 Course and how do I access it? Everyday Excel, Part 2 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 free to audit, 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 Everyday Excel, Part 2 Course compare to other Data Analytics courses? Everyday Excel, Part 2 Course is rated 8.7/10 on our platform, placing it among the top-rated data analytics courses. Its standout strengths — comprehensive coverage of modern excel dynamic array functions — 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 Everyday Excel, Part 2 Course taught in? Everyday Excel, Part 2 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 Everyday Excel, Part 2 Course kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. University of Colorado Boulder 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 Everyday Excel, Part 2 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 Everyday Excel, Part 2 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 Everyday Excel, Part 2 Course? After completing Everyday Excel, Part 2 Course, you will have practical skills in data analytics that you can apply to real projects and job responsibilities. You will be equipped to tackle complex, real-world challenges and lead projects in this domain. 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