# Microsoft Excel for Office 365 (Desktop or Onl… Review (2026) — 7.6/10 > Independent review of Microsoft Excel for Office 365 (Desktop or Online): Part 2 on Coursera. Rated 7.6/10 by our editorial team. Pros, cons, price, and top… Microsoft Excel for Office 365 (Desktop or Online): Part 2 ![Microsoft Excel for Office 365 (Desktop or Online): Part 2](/api/media/file/hero/microsoft-excel-office-365-part-2-course.webp?v=2?width=800) # Microsoft Excel for Office 365 (Desktop or Online): Part 2 Course — Review (7.6/10) This course effectively bridges intermediate to advanced Excel skills with practical applications. The content is well-structured and relevant for professionals seeking to improve data handling. Some ... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Microsoft Excel for Office 365 (Desktop or Online): Part 2 is a 6 weeks online intermediate-level course on Coursera by Logical Operations that covers data analytics. This course effectively bridges intermediate to advanced Excel skills with practical applications. The content is well-structured and relevant for professionals seeking to improve data handling. Some learners may find the pace fast if they lack prior experience. The lack of deep VBA coverage may disappoint those seeking full automation training. We rate it 7.6/10. ## 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 advanced Excel functions - Practical examples relevant to real-world business scenarios - Clear module progression from intermediate to advanced topics - Hands-on exercises reinforce learning effectively ## Cons - Limited depth in macro programming and VBA - Assumes prior familiarity with basic Excel functions - Few peer-reviewed assignments for feedback ## Microsoft Excel for Office 365 (Desktop or Online): Part 2 Course Review Platform: Coursera Instructor: Logical Operations Updated May 3, 2026·Editorial Standards·How We Rate ## What will you learn in Microsoft Excel for Office 365 (Desktop or Online): Part 2 course - Apply advanced formula techniques including nested functions and array formulas - Analyze complex datasets using PivotTables and advanced filtering - Use data validation and auditing tools to ensure accuracy and integrity - Automate repetitive tasks with macros and basic VBA concepts - Collaborate effectively using shared workbooks and cloud integration ### Program Overview ### Module 1: Advanced Formulas and Functions Duration estimate: 2 weeks - Nested logical functions (IF, AND, OR) - Lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH) - Statistical and financial functions ### Module 2: Data Analysis and Management Duration: 2 weeks - Advanced filtering and database functions - Creating and managing PivotTables - Using slicers and PivotCharts ### Module 3: Data Validation and Auditing Duration: 1 week - Setting up data validation rules - Tracing precedents and dependents - Using error checking and formula auditing ### Module 4: Collaboration and Automation Duration: 1 week - Sharing and protecting workbooks - Recording and running macros - Introduction to VBA for automation ### Get certificate #### Job Outlook - Excel proficiency is required in over 70% of data-centric roles - Valuable for careers in finance, operations, HR, and project management - Advanced Excel skills increase employability and efficiency ## Editorial Take Microsoft Excel remains a cornerstone of business data analysis, and this second-part course delivers targeted, practical training for professionals aiming to move beyond basics. Offered through Coursera by Logical Operations, it builds directly on foundational knowledge, focusing on tools that enhance analytical precision and workflow automation. ### Standout Strengths - Advanced Formula Mastery: The course excels in teaching complex nested functions and lookup formulas, which are essential for real-world data manipulation. Learners gain confidence in combining IF, AND, and OR functions effectively across diverse scenarios. - PivotTable Proficiency: Detailed instruction on creating and customizing PivotTables allows users to transform raw data into insightful summaries. The integration with slicers and PivotCharts enhances visual reporting capabilities significantly. - Data Integrity Tools: Emphasis on data validation and formula auditing helps prevent errors in collaborative environments. These features are critical for maintaining accuracy in financial and operational spreadsheets. - Workflow Automation: Introduction to macros streamlines repetitive tasks, boosting productivity. While not exhaustive, it provides a solid foundation for exploring VBA in future learning paths. - Cloud Collaboration Skills: Coverage of shared workbooks and co-authoring in Office 365 aligns with modern remote work practices. Users learn to protect sheets and manage version control efficiently. - Structured Learning Path: Modules progress logically from formulas to automation, ensuring concepts build cumulatively. Each section includes practical exercises that reinforce key competencies through repetition. ### Honest Limitations - Limited VBA Depth: While macros are introduced, the course only scratches the surface of VBA programming. Learners seeking full automation control may need supplementary resources beyond this curriculum. - Pace Assumes Prior Knowledge: The course moves quickly into advanced topics without extensive review. Beginners may struggle without solid prior experience in Excel basics and cell referencing. - Few Interactive Assessments: There is a lack of peer-reviewed or graded projects that provide personalized feedback. Most assessments are automated quizzes, limiting deeper engagement. - Minimal Real-World Dataset Variety: Examples are well-structured but sometimes oversimplified. Exposure to messy, real-world datasets would better prepare learners for practical challenges. ### How to Get the Most Out of It - Study cadence: Dedicate 3–4 hours weekly to complete modules and practice exercises. Consistent effort ensures mastery before advancing to complex topics like array formulas. - Note-taking: Document formula syntax and use cases in a reference sheet. This becomes a valuable toolkit for future problem-solving and quick recall. - Community: Engage in Coursera discussion forums to troubleshoot issues and share tips. Peer insights often reveal alternative approaches to common Excel challenges. - Practice: Recreate examples manually instead of copying solutions. This deepens understanding of how functions interact within larger spreadsheet models. - Consistency: Complete assignments soon after lectures while concepts are fresh. Delaying practice reduces retention and slows skill development. ### Supplementary Resources - Book: 'Excel 2021 Bible' by Michael Alexander offers comprehensive reference material. It expands on topics like Power Query and advanced charting not fully covered here. - Tool: Use Microsoft’s free template library to explore real-world applications. Templates for invoices, dashboards, and calendars provide practical learning contexts. - Follow-up: Enroll in data visualization or Power BI courses next. These build naturally on Excel skills for broader business intelligence applications. - Reference: Microsoft’s official Excel support site provides up-to-date function guides. It's an essential bookmark for troubleshooting and learning new features. ### Common Pitfalls - Pitfall: Skipping foundational review can lead to confusion. Ensure comfort with relative/absolute references and basic functions before starting this course. - Pitfall: Overreliance on automated quiz feedback limits growth. Seek external validation by sharing work with peers or mentors for richer insights. - Pitfall: Memorizing formulas without understanding logic hinders adaptability. Focus on why a function works, not just how to apply it. ### Time & Money ROI - Time: At six weeks with moderate weekly effort, the time investment is reasonable for skill level gained. Busy professionals can complete it part-time without burnout. - Cost-to-value: Priced as a paid course, it offers solid return through applicable skills. However, free alternatives exist for learners on tight budgets. - Certificate: The shareable credential adds value to resumes and LinkedIn profiles. It signals commitment to professional development in data literacy. - Alternative: Free YouTube tutorials may cover similar content but lack structure and certification. This course provides a guided, credential-bearing path. ### Editorial Verdict This course fills a critical gap between basic spreadsheet literacy and advanced data analysis. By focusing on high-impact features like PivotTables, advanced lookups, and macro recording, it equips learners with tools that deliver immediate workplace value. The structured format and hands-on approach make complex topics accessible, especially for professionals in finance, operations, or HR who rely on accurate reporting. While not exhaustive in programming or data modeling, it succeeds as a targeted upskilling resource that balances depth with practicality. We recommend this course for learners who already understand Excel fundamentals and want to enhance their analytical capabilities. It’s particularly beneficial for those preparing for roles requiring data manipulation or reporting. However, aspiring data analysts should view this as one step in a broader learning journey, complementing it with courses in databases or visualization tools. Overall, the course delivers strong skill-building value at a reasonable time cost, making it a worthwhile investment for career-focused users aiming to stand out in data-driven environments. ## How Microsoft Excel for Office 365 (Desktop or Online): Part 2 Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Microsoft Excel for Office 365 (Desktop or Online): Part 2 | Coursera | 7.6/10 | Intermediate | 6 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2? 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 Logical Operations 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 Logical Operations Logical Operations offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - Advanced Python Apps Desktop Database Web Lo094032 Course 9.7/10 - Advanced Python Data Science Testing Distribution Lo094032 Course 9.0/10 - Getting the Most from Your Presentations with GenAI 8.7/10 - Certified Information Systems Security Professional (CISSP) - Seventh Edition 8.7/10 - Excel VBA Macros: Forms, Files, and Data Handling Course 8.7/10 - Finance and Budgeting Essentials for Business Professionals Course 8.5/10 - Getting the Most from Your Documents with GenAI 8.5/10 - Effective Presentations Course 8.5/10 View all courses from Logical Operations → ## 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2? A basic understanding of Data Analytics fundamentals is recommended before enrolling in Microsoft Excel for Office 365 (Desktop or Online): Part 2. 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from Logical Operations. 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2? The course takes approximately 6 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2? Microsoft Excel for Office 365 (Desktop or Online): Part 2 is rated 7.6/10 on our platform. Key strengths include: comprehensive coverage of advanced excel functions; practical examples relevant to real-world business scenarios; clear module progression from intermediate to advanced topics. Some limitations to consider: limited depth in macro programming and vba; assumes prior familiarity with basic excel functions. Overall, it provides a strong learning experience for anyone looking to build skills in Data Analytics. How will Microsoft Excel for Office 365 (Desktop or Online): Part 2 help my career? Completing Microsoft Excel for Office 365 (Desktop or Online): Part 2 equips you with practical Data Analytics skills that employers actively seek. The course is developed by Logical Operations, 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 and how do I access it? Microsoft Excel for Office 365 (Desktop or Online): Part 2 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 compare to other Data Analytics courses? Microsoft Excel for Office 365 (Desktop or Online): Part 2 is rated 7.6/10 on our platform, placing it as a solid choice among data analytics courses. Its standout strengths — comprehensive coverage of advanced excel 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 taught in? Microsoft Excel for Office 365 (Desktop or Online): Part 2 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Logical Operations 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2 as part of a team or organization? Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like Microsoft Excel for Office 365 (Desktop or Online): Part 2. 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 Microsoft Excel for Office 365 (Desktop or Online): Part 2? After completing Microsoft Excel for Office 365 (Desktop or Online): Part 2, 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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