# Excel Basics for Data Analysis By IBM Review (2026): 9.5/10 · Coursera > Independent review of Excel Basics for Data Analysis By IBM Course on Coursera. Rated 9.5/10 by our editorial team. Pros, cons, price, and top alternatives.… Excel Basics for Data Analysis By IBM Course ![Excel Basics for Data Analysis By IBM Course](/api/media/file/images/2025/04/Excel-Basics-for-Data-Analysis-2.webp?width=800) # Excel Basics for Data Analysis By IBM Course — Review (9.5/10) The "Excel Basics for Data Analysis" course offers a comprehensive and practical approach to using Excel for data analysis. It's particularly beneficial for individuals seeking to build a strong found... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Excel Basics for Data Analysis By IBM Course is an online beginner-level course on Coursera by IBM that covers excel. The "Excel Basics for Data Analysis" course offers a comprehensive and practical approach to using Excel for data analysis. It's particularly beneficial for individuals seeking to build a strong foundation in spreadsheet-based data analysis. We rate it 9.5/10. ## Prerequisites No prior experience required. This course is designed for complete beginners in excel. ## Pros - Beginner-friendly with no prior experience required. - Taught by experienced instructors from IBM. - Hands-on labs and assignments to reinforce learning. - Applicable to both academic and industry settings. ## Cons - Limited focus on advanced Excel topics; further courses are needed for deeper exploration. - Some learners may seek more extensive hands-on projects or real-world datasets. ## Excel Basics for Data Analysis By IBM Course Review Platform: Coursera Instructor: IBM Updated Mar 12, 2026·Editorial Standards·How We Rate ## What you will learn in Excel Basics for Data Analysis By IBM Course - Gain a foundational understanding of Excel for data analysis. - Perform basic spreadsheet tasks, including navigation, data entry, and using formulas. - Employ data quality techniques to import and clean data in Excel. - Analyze data in spreadsheets by using filter, sort, lookup functions, and pivot tables. ### Program Overview #### Introduction to Data Analysis Using Spreadsheets 1 hours - Introduction to spreadsheet applications and the Excel interface. - Navigating worksheets and workbooks. #### Getting Started with Using Excel Spreadsheets 2 hours - Viewing, entering, and editing data. - Copying, filling, and formatting cells and data. - Understanding the basics of formulas and functions. #### Cleaning & Wrangling Data Using Spreadsheets 2 hours - Importing file data and understanding data quality. - Removing duplicates, dealing with inconsistencies, and cleaning data. #### Analyzing Data Using Spreadsheets 2 hours - Filtering and sorting data in Excel. - Using VLOOKUP and HLOOKUP functions. - Creating and utilizing pivot tables. #### Final Project 4 hours - Applying learned skills to clean and analyze a dataset. - Completing a peer-reviewed final assignment. ### Get certificate #### Job Outlook - Proficiency in Excel is essential for roles such as Data Analyst, Business Analyst, and Financial Analyst. - Skills acquired in this course are applicable across various industries, including technology, healthcare, finance, and more. - Completing this course can enhance your qualifications for positions that require expertise in data analysis using spreadsheets. ### Explore More Learning Paths Boost your analytical capabilities and expand your data-handling expertise with these curated programs designed to strengthen your problem-solving, visualization, and data-driven decision-making skills. ### Related Courses - Data Analysis with Python Course – Learn how to analyze, visualize, and interpret data using Python’s most powerful libraries. - Managing Data Analysis Course – Develop the managerial and strategic skills needed to oversee data projects and drive business insights. - ChatGPT Advanced Data Analysis Course – Enhance your workflow by using AI tools like ChatGPT to streamline analysis, automate tasks, and solve complex data problems. ### Related Reading Build a stronger foundation in essential data-related concepts: - What Is Data Management? – Understand how organizations store, organize, and maintain data to ensure reliability and usability. Last verified: March 12, 2026 ## Editorial Take The 'Excel Basics for Data Analysis' course by IBM on Coursera delivers a tightly structured, beginner-accessible pathway into the world of spreadsheet-based data analysis. It focuses on foundational skills essential for navigating, cleaning, and analyzing data using Microsoft Excel. With IBM's industry reputation and a practical project-based approach, the course builds confidence through hands-on engagement. Learners gain real-time experience with tools like pivot tables, lookup functions, and data-cleaning techniques critical in modern data roles. While it doesn't dive deep into advanced analytics, it serves as a vital first step for aspiring analysts seeking structured, credible training. ### Standout Strengths - Beginner-Friendly Design: The course assumes no prior Excel knowledge, making it accessible to absolute newcomers while still delivering structured progression. Each module builds confidence by introducing concepts like navigation and data entry in a clear, step-by-step format. - Instruction by Industry Experts: Being taught by IBM professionals adds significant credibility and ensures content aligns with real-world data practices. Their guidance provides learners with insights into how Excel is used within large organizations for data integrity and reporting. - Hands-On Learning Approach: The inclusion of labs and practical exercises reinforces theoretical concepts through active application. Learners practice tasks like importing files, removing duplicates, and applying filters, which solidifies muscle memory and understanding. - Focus on Data Quality: The course dedicates time to cleaning and wrangling data, a crucial but often overlooked skill in beginner courses. Techniques like identifying inconsistencies and handling missing values prepare learners for messy real-world datasets. - Pivot Tables and Lookups Covered: Key analytical tools such as VLOOKUP, HLOOKUP, and pivot tables are introduced with practical context. These functions are essential for summarizing and exploring data, giving learners immediate utility in academic or job settings. - Final Project with Peer Review: The capstone project requires applying all learned skills to clean and analyze a dataset, ensuring integration of knowledge. Peer review adds accountability and exposes learners to alternative problem-solving approaches from other students. - Lifetime Access Benefit: Once enrolled, learners retain indefinite access to course materials, allowing for repeated review and mastery. This flexibility supports long-term learning and reference as skills are applied in real scenarios. - Certificate from IBM: The certificate of completion carries weight due to IBM’s global reputation in technology and data fields. It serves as a verifiable credential that can enhance resumes and LinkedIn profiles for entry-level positions. ### Honest Limitations - Limited Advanced Content: The course stops at foundational topics and does not cover advanced features like macros, Power Query, or array formulas. Learners seeking deeper Excel expertise will need to pursue follow-up courses for comprehensive mastery. - Shallow Project Depth: While the final project is useful, it may not use complex or large-scale real-world datasets that reflect actual industry challenges. Some learners might find the scope too narrow for building robust portfolio pieces. - Minimal AI Integration: Despite IBM's leadership in AI, the course does not incorporate AI-assisted analysis tools or automation features in Excel. This omission leaves learners unprepared for modern workflows that blend AI with traditional spreadsheet analysis. - No Offline Practice Files: The course relies on in-browser labs, which may limit offline practice opportunities for learners without consistent internet access. Downloadable datasets or templates would enhance independent learning and experimentation. - Basic Formula Coverage: Only fundamental formulas and functions are taught, with little exploration of nested logic or error handling. This restricts learners' ability to troubleshoot complex spreadsheets they may encounter professionally. - Short Total Duration: With only about 11 hours of content, the course moves quickly and may not allow sufficient time for mastery. Learners needing more repetition or deeper dives into each topic may feel rushed through key sections. - Generic Dataset Examples: The datasets used in exercises appear simplified and lack the nuance of real-world business data. This reduces authenticity and may not fully prepare learners for data inconsistencies found in actual jobs. - No Direct Instructor Interaction: As a self-paced Coursera offering, there is no live support or Q&A with IBM instructors. Learners must rely on discussion forums, which can delay problem resolution and reduce engagement. ### How to Get the Most Out of It - Study cadence: Complete one module per day over two weeks to allow time for practice and reflection. This pace prevents cognitive overload and ensures each concept is internalized before moving forward. - Parallel project: Apply each lesson to a personal dataset, such as monthly expenses or fitness tracking. This contextualizes learning and builds a portfolio of practical, reusable work beyond the course requirements. - Note-taking: Use a digital notebook to document every function learned, including syntax and use cases. This creates a personalized reference guide that accelerates future problem-solving and recall. - Community: Join the Coursera discussion forums and introduce yourself to fellow learners working through the same labs. Sharing solutions and asking questions enhances understanding and builds professional connections. - Practice: Re-do each lab without referring to instructions to test true comprehension. This active recall method strengthens retention and reveals gaps in understanding that need review. - Application focus: After each section, challenge yourself to explain the concept to someone unfamiliar with Excel. Teaching forces clarity and exposes areas where your own knowledge needs reinforcement. - Time blocking: Schedule 60-minute focused sessions with no distractions to maximize learning efficiency. Short, consistent blocks are more effective than infrequent, longer study periods for skill acquisition. - Feedback loop: Submit the final project early and review peer feedback to identify improvement areas. Use this input to refine your approach before final submission and future applications. ### Supplementary Resources - Book: 'Excel 2021 Bible' by Michael Alexander offers deeper explanations of functions and formatting techniques. It complements the course by providing extended examples and troubleshooting tips beyond the basics. - Tool: Use Microsoft Excel's free online version or trial to practice outside the Coursera environment. This allows experimentation with larger datasets and real-time collaboration features not covered in the course. - Follow-up: Enroll in 'Data Analysis with Python' to extend analytical capabilities beyond spreadsheets. This next-step course builds on Excel foundations by introducing automation and advanced visualization. - Reference: Keep the Microsoft Excel support documentation open during labs for quick function lookups. It provides official syntax guides and examples that clarify how each formula works in different contexts. - YouTube Channel: ExcelJet's tutorials offer concise, visual walkthroughs of lookup functions and pivot tables. These videos reinforce concepts taught in the course with alternative explanations and shortcuts. - Template Site: Download free Excel templates from Vertex42 to see professional layouts and formulas in action. Analyzing these helps reverse-engineer best practices in formatting and data structuring. - Practice Platform: Try free exercises on Excel Easy to build speed and accuracy with core operations. The site’s progressive difficulty mirrors the course’s structure and supports continued learning. - Community: Participate in Reddit’s r/excel to ask questions and view real-world problems. This exposes learners to diverse use cases and community-driven solutions beyond the course scope. ### Common Pitfalls - Pitfall: Skipping labs to rush through the course leads to weak retention of practical skills. To avoid this, treat each lab as mandatory and complete it before advancing to the next module. - Pitfall: Misunderstanding relative vs. absolute cell references can cause formula errors in spreadsheets. Practice using both types in different contexts to internalize when to lock cell addresses with F4. - Pitfall: Overlooking data cleaning steps results in inaccurate analysis and misleading conclusions. Always validate imported data for duplicates, blanks, and formatting issues before applying filters or pivot tables. - Pitfall: Relying solely on peer-reviewed feedback without self-review limits growth. Always compare your final project against the rubric and revise it independently before submission. - Pitfall: Using VLOOKUP without understanding its limitations can lead to incorrect matches. Learn to handle #N/A errors and consider INDEX-MATCH as a more robust alternative even if not taught in the course. - Pitfall: Ignoring keyboard shortcuts slows down workflow efficiency in real tasks. Practice common shortcuts like Ctrl+C, Ctrl+V, and Ctrl+T to build speed and professionalism. ### Time & Money ROI - Time: Completing the course in 10–12 hours is realistic for most beginners with consistent daily effort. Extending to two weeks allows deeper practice and integration of skills into personal projects. - Cost-to-value: The course is typically free to audit, making it an exceptional value for foundational training. Even with a subscription, the ROI is high due to IBM’s brand and practical skill development. - Certificate: The certificate holds moderate hiring weight, especially for entry-level roles or career changers. It signals initiative and basic competency, particularly when paired with a portfolio of applied work. - Alternative: Free YouTube tutorials can teach similar Excel basics but lack structure, verification, or peer review. The course’s organized curriculum and IBM backing justify its nominal cost over fragmented alternatives. - Opportunity cost: Not taking the course delays entry into data-driven roles that require spreadsheet literacy. The skills gained open doors to internships, promotions, or further education in analytics fields. - Long-term benefit: Mastery of Excel fundamentals supports lifelong learning in data science and business intelligence. These skills remain relevant across industries and serve as a foundation for advanced tools. - Employer recognition: IBM’s name on the certificate increases credibility with hiring managers in tech and finance sectors. It distinguishes candidates who have trained with a recognized industry leader. - Upskilling leverage: The course can be completed alongside job applications or current employment to boost qualifications. Its short duration allows for quick skill acquisition without disrupting other commitments. ### Editorial Verdict The 'Excel Basics for Data Analysis' course by IBM is a highly effective entry point for anyone beginning their journey in data analysis. Its structured curriculum, emphasis on practical skills, and backing by a global technology leader make it a trustworthy choice for learners with no prior experience. The course successfully demystifies Excel by breaking down complex tasks into manageable steps, ensuring that even complete beginners can build confidence. By focusing on essential techniques like data cleaning, filtering, and pivot tables, it delivers immediate value in both academic and professional environments. The inclusion of a final project and peer review process further enhances its educational integrity and prepares learners for collaborative workflows. While the course has limitations in depth and dataset complexity, its strengths far outweigh these concerns for the intended audience. It does not claim to produce Excel experts but rather equips learners with a solid foundation upon which to build. When combined with supplementary practice and follow-up learning, the skills gained here become powerful tools in a broader data literacy journey. For those seeking a credible, accessible, and hands-on introduction to Excel for data analysis, this course is strongly recommended. It represents an intelligent first investment in a data-driven career, offering lifetime access, a respected certificate, and practical knowledge that translates directly to real-world tasks. View Full Syllabus → ## How Excel Basics for Data Analysis By IBM Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Excel Basics for Data Analysis By IBM Course | Coursera | 9.5/10 | Beginner | N/A | | Copilot Microsoft 365 (Copilot AI + Excel, Word, PowerPoint) Course | Udemy | 9.7/10 | N/A | N/A | | Unlock Excel VBA and Excel Macros Course | Udemy | 9.7/10 | N/A | N/A | | Microsoft Excel: Advanced Excel Formulas & Functions Course | Udemy | 9.7/10 | N/A | N/A | ## Who Should Take Excel Basics for Data Analysis By IBM Course? This course is best suited for learners with no prior experience in excel. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by IBM on Coursera, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a certificate of completion 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 excel skills to real-world projects and job responsibilities - Qualify for entry-level positions in excel and related fields - Build a portfolio of skills to present to potential employers - Add a certificate of completion credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Excel Courses on Coursera Explore other highly rated courses in excel available on Coursera to expand your learning path: - ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier Specialization Course 9.9/10 - IBM Data Analytics with Excel and R Professional Certificate Course 9.8/10 - Excel/VBA for Creative Problem Solving Specialization Course 9.8/10 - Introduction to Data Analysis using Microsoft Excel Course 9.8/10 - Accounting Spreadsheets: Formulas, Validation, Formatting Course 9.8/10 - Data Visualization and Dashboards with Excel and Cognos Course 9.8/10 - Excel Skills for Business Specialization Course 9.7/10 - Everyday Excel, Part 1 Course 9.7/10 - Everyday Excel Specialization Course 9.7/10 - Excel aplicado a los negocios (Nivel Avanzado) Course 9.7/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated excel courses from other platforms cover similar ground: - Copilot Microsoft 365 (Copilot AI + Excel, Word, PowerPoint) Course 9.7/10 Udemy - Unlock Excel VBA and Excel Macros Course 9.7/10 Udemy - Microsoft Excel: Advanced Excel Formulas & Functions Course 9.7/10 Udemy - Microsoft Excel – Excel from Beginner to Advanced Course 9.7/10 Udemy - IBM: Data Visualization and Building Dashboards with Excel and Cognos course 9.7/10 EDX - IBM: Analyzing Data with Excel course 9.7/10 EDX - UBCx: Excel for Everyone: Core Foundations course 9.7/10 EDX - DavidsonX: Excel for Beginners course 9.7/10 EDX - Data Analysis Essentials Using Excel Course 9.7/10 Udemy - EXCEL at Work – Complete MS Excel Mastery Beginner to Pro Course 9.6/10 Udemy ## More Courses from IBM IBM offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - IBM IT Support Professional Certificate Course 9.9/10 - Generative AI for Customer Support Specialization Course 9.9/10 - Generative AI for Business Intelligence (BI) Analysts Specialization Course 9.9/10 - Introduction to Technical Support Course 9.9/10 - IBM Data Analytics with Excel and R Professional Certificate Course 9.8/10 - IBM Data Management Professional Certificate Course 9.8/10 - IBM Business Analyst Professional Certificate Course 9.8/10 - IBM iOS and Android Mobile App Developer Professional Certificate Course 9.8/10 View all courses from IBM → ## 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? Browse our full catalog of course categories to find the right fit for your career goals: Agile & Scrum Courses AI Courses Arts and Humanities Courses Business & Management Courses Cloud Computing Courses Computer Science Courses Construction Management Courses Cybersecurity Courses Data Analyst Courses Data Analytics Courses Data Engineering Courses Data Science Courses Design Courses Developer Courses Economics & Finance Courses Education & Teacher Training Courses Entrepreneurship Courses Excel Courses Finance Courses Game Development Courses Graphic Design Courses Health Science Courses Information Technology Courses Language Learning Courses Leadership Courses Lifestyle Courses Machine Learning Courses Marketing Courses Math and Logic Courses Music Courses Negotiation Courses Office Productivity Courses Other Personal Development Courses Photography & Videography Courses Physical Science and Engineering Courses Project Management Courses Python Courses SEO Courses Social Media Marketing Courses Social Sciences Courses Software Development Courses Supply Chain Management Courses Teaching Courses Uncategorized UX Design Courses Web Development Courses Explore related topics Office Productivity Data Analytics Data Analyst Business & Management Finance Explore Related Topics Best Excel Courses Learning Path Browse All Courses ## User Reviews No reviews yet. Be the first to share your experience! ## FAQs How will this course help in my career? Excel proficiency is valued across industries Enhances productivity in reporting and analysis Builds a strong foundation for advanced data tools like Power BI Adds a practical, resume-ready skill for entry-level roles How is the course structured? Step-by-step tutorials for each Excel feature Practical exercises for real-world applications Gradual progression from basics to analysis techniques Interactive assignments to reinforce learning What skills will I gain from this course? Proficiency in using formulas and functions Ability to clean and manage datasets Skills to create visualizations like charts and graphs Understanding of data formatting and reporting techniques Do I need prior Excel knowledge before joining? Starts with the basics of Excel navigation Explains functions step by step Beginner-friendly examples and exercises Gradual learning path from simple to complex tasks What is this course about? Covers Excel fundamentals from spreadsheets to formulas Teaches sorting, filtering, and organizing data Introduces charts and graphs for visualization Builds a foundation for advanced Excel and data analysis tools What are the prerequisites for Excel Basics for Data Analysis By IBM Course? No prior experience is required. Excel Basics for Data Analysis By IBM Course is designed for complete beginners who want to build a solid foundation in Excel. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners. Does Excel Basics for Data Analysis By IBM Course offer a certificate upon completion? Yes, upon successful completion you receive a certificate of completion from IBM. 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 Excel can help differentiate your application and signal your commitment to professional development. How long does it take to complete Excel Basics for Data Analysis By IBM Course? The course is designed to be completed in a few weeks of part-time study. It is offered as a lifetime 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 Excel Basics for Data Analysis By IBM Course? Excel Basics for Data Analysis By IBM Course is rated 9.5/10 on our platform. Key strengths include: beginner-friendly with no prior experience required.; taught by experienced instructors from ibm.; hands-on labs and assignments to reinforce learning.. Some limitations to consider: limited focus on advanced excel topics; further courses are needed for deeper exploration.; some learners may seek more extensive hands-on projects or real-world datasets.. Overall, it provides a strong learning experience for anyone looking to build skills in Excel. How will Excel Basics for Data Analysis By IBM Course help my career? Completing Excel Basics for Data Analysis By IBM Course equips you with practical Excel skills that employers actively seek. The course is developed by IBM, 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 Excel Basics for Data Analysis By IBM Course and how do I access it? Excel Basics for Data Analysis By IBM 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. Once enrolled, you have lifetime access to the course material, so you can revisit lessons and resources whenever you need a refresher. All you need is to create an account on Coursera and enroll in the course to get started. How does Excel Basics for Data Analysis By IBM Course compare to other Excel courses? Excel Basics for Data Analysis By IBM Course is rated 9.5/10 on our platform, placing it among the top-rated excel courses. Its standout strengths — beginner-friendly with no prior experience required. — 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. ## Similar Courses Other courses in Excel Courses ![Excel Basics for Data Analysis Course](/api/media/file/hero/excel-basics-data-analysis-course.webp?v=2?width=480) Coursera Data Analytics Courses ### Excel Basics for Data Analysis Course ★★★★½ Coursera View Course » Enroll ![Introduction to Data Analysis using Microsoft Excel Course](/api/media/file/images/2025/08/Introduction-to-Data-Analysis-using-Microsoft-Excel.webp?width=480) Coursera Excel Courses ### Introduction to Data Analysis using Microsoft Excel Course ★★★★½ Coursera View Course » Enroll ![Excel Fundamentals for Data Analysis Course](/api/media/file/hero/excel-fundamentals-for-data-analysis-course.webp?width=480) Coursera Excel Courses ### Excel Fundamentals for Data Analysis Course ★★★★½ Coursera View Course » Enroll ![Excel Power Tools for Data Analysis course](/api/media/file/hero/excel-power-tools-for-data-analysis-course.webp?width=480) Coursera Excel Courses ### Excel Power Tools for Data Analysis course ★★★★½ Coursera View Course » Enroll ![Data Analysis Essentials Using Excel Course](/api/media/file/images/2025/05/Data-Analysis-Essentials-Using-Excel.webp?width=480) Udemy Excel Courses ### Data Analysis Essentials Using Excel Course ★★★★½ Udemy View Course » Enroll ![Introduction to Data Analysis Using Excel Course](/api/media/file/hero/introduction-to-data-analysis-using-excel-course.webp?width=480) Coursera Excel Courses ### Introduction to Data Analysis Using Excel Course ★★★★½ Coursera View Course » Enroll ## Related Job Opportunities ### Electronics Engineer / Technician (f/m/d) European X-Ray Free-Electron Laser Facility GmbH Hamburg, DE Full-Time ### Administrator (m/w/d) Atlassian DataCenter 1 KNDS Deutschland München, DE Full-Time ### Implementation Specialist (x/f/m) Phone Assistant Instaffo GmbH Berlin, DE Full-Time ### Customer Service Training Officer Wyndham City Council Victoria, AU Full-Time AUD 94–115/yr ### Courier Truck Driver (Mr), Startrack Traralgon Australia Post Victoria, AU Full-Time AUD 47–52/yr Browse more jobs on JobsNearMe.career → ### Explore Related Categories All Excel Courses Explore Course Reviews Data Analysis Courses ### Review: Excel Basics for Data Analysis By IBM Course Your Name * Email (optional, not displayed) Rating * Your Review * ### Discover More Course Categories Explore expert-reviewed courses across every field Data Science Courses AI Courses Python Courses Machine Learning Courses Web Development Courses Cybersecurity Courses Data Analyst Courses Cloud & DevOps Courses UX Design Courses Project Management Courses SEO Courses Agile & Scrum Courses Business Courses Marketing Courses Software Dev Courses Browse all 10,000+ courses »