{"id":"9ea18450-44b5-4533-8489-dc19b3a36c46","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews","description":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews is aimed at B2C learners aged 18–34 who often arrive from creators, webinars, and mobile-first checkouts and need visible value fast. Across 7 lessons and about 16 hours, the course focuses on course orientation and outcomes, metrics design, and tools, setup, and environment; the capstone is a forecasting model built with Python and Excel.","contentLanguage":"en","coverUrl":null,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:58.021Z","durationSeconds":57600,"authorId":"f8f45525-e2a9-4088-a888-327a4ef91fc3","rating":4.777777777777778,"reviewCount":90,"expectedLessonsCount":7,"trailerUrl":null,"faq":[{"answer":"A minimal base is recommended, but the opening block still aligns terminology, tools, and expectations before practice.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 3–5 hours per week. In total, the course includes 7 lessons and about 16 hours of guided work.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a forecasting model plus reusable materials built around Python and Excel.","question":"What will I finish the course with?"}],"learningOutcomes":null,"requirements":null,"levels":["advanced"],"firstLessonFreePreviewEnabled":false,"certificateEnabled":true,"isPlatformCourse":false,"pricingTiers":[{"id":"standard","name":"Standard","price":79,"features":[],"highlighted":true}],"minPricingTierPrice":79,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"8426e212-0e70-4365-981a-f375e42464f6","lessons":[{"id":"fc96103a-bf40-4a20-8d56-2f707cb81d53","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — course orientation and outcomes","description":"Lesson 1 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through course orientation and outcomes and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8229,"position":0,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"2def4a63-7fa8-4647-9fd5-9ae3aa1d003b","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — metrics design","description":"Lesson 2 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through metrics design and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8229,"position":1,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"7e0c3771-8b33-4259-9e9d-224f0c833504","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — tools, setup, and environment","description":"Lesson 3 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through tools, setup, and environment and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8229,"position":2,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"2b227279-6b74-4b0c-b92c-095ae558ebca","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — implementation and adoption","description":"Lesson 4 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through implementation and adoption and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8229,"position":3,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"3aefe1bf-3ed8-4635-bd9f-3ca4118630ef","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — quality, review, and risk control","description":"Lesson 5 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through quality, review, and risk control and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8228,"position":4,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ed59a2a2-bb68-415d-9d96-9184ac116c80","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — analysis storytelling","description":"Lesson 6 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through analysis storytelling and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8228,"position":5,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"99090a04-2496-427f-a515-14844a5afcb2","title":"Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews — measurement and optimization","description":"Lesson 7 of 7 in Advanced Excel for Analytics: Field Guide — Projects for Portfolio and Interviews: work through measurement and optimization and convert the result into a reusable part of the final forecasting model using Python and Excel.","videoUrl":null,"videoFileName":null,"duration":8228,"position":6,"createdAt":"2026-05-26T07:49:57.906Z","updatedAt":"2026-05-26T07:49:57.906Z","courseId":"9ea18450-44b5-4533-8489-dc19b3a36c46","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"f8f45525-e2a9-4088-a888-327a4ef91fc3","name":"Thomas Harper","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/f9edf71d-c6e7-451f-b2e4-943629772a6b.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}