{"id":"05040c18-f844-43c5-ae48-0a78f302626c","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews","description":"SQL for Analytics: Results Room — 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 9 lessons and about 20 hours, the course focuses on course orientation and outcomes, SQL exploration, and foundations and working vocabulary; the capstone is a forecasting model built with Excel and Python.","contentLanguage":"en","coverUrl":null,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.487Z","durationSeconds":72000,"authorId":"b1510df7-4255-4b1a-a06c-2b8aab8c4493","rating":4.27906976744186,"reviewCount":43,"expectedLessonsCount":9,"trailerUrl":null,"faq":[{"answer":"No prior experience is required. The first lessons create a clear ramp-up before the course moves into applied work.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 4–6 hours per week. In total, the course includes 9 lessons and about 20 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 Excel and Python.","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":"771887e4-0ac5-4f4b-8d7c-6278f4c328d5","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — course orientation and outcomes","description":"Lesson 1 of 9 in SQL for Analytics: Results Room — 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 Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":0,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"669397c7-7766-4bbb-9731-875a89e756d7","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — SQL exploration","description":"Lesson 2 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through SQL exploration and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":1,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"07bf293c-95d7-4aa8-9a25-23ced2b82caf","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — foundations and working vocabulary","description":"Lesson 3 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through foundations and working vocabulary and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":2,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"123bcf63-b4a4-4803-9fb9-f074dc959e52","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — workflow design and handoffs","description":"Lesson 4 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through workflow design and handoffs and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":3,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"a74c5ad4-0705-4c25-ab6d-91f0826a3a7d","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — dashboard logic","description":"Lesson 5 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through dashboard logic and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":4,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"9226fa3a-1404-44bd-b05e-1785b8a44089","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — portfolio packaging","description":"Lesson 6 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through portfolio packaging and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":5,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"a610fa17-8853-4782-838f-952ec100c12a","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — guided cases and practice","description":"Lesson 7 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through guided cases and practice and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":6,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"8804af79-1d32-4ff5-869b-ca328f9321a1","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — analysis storytelling","description":"Lesson 8 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through analysis storytelling and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":7,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"46790669-ce82-4396-910e-2854a0e7b578","title":"SQL for Analytics: Results Room — Projects for Portfolio and Interviews — implementation and adoption","description":"Lesson 9 of 9 in SQL for Analytics: Results Room — Projects for Portfolio and Interviews: work through implementation and adoption and convert the result into a reusable part of the final forecasting model using Excel and Python.","videoUrl":null,"videoFileName":null,"duration":8000,"position":8,"createdAt":"2026-05-26T07:49:57.373Z","updatedAt":"2026-05-26T07:49:57.373Z","courseId":"05040c18-f844-43c5-ae48-0a78f302626c","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"b1510df7-4255-4b1a-a06c-2b8aab8c4493","name":"Ryan Harper","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/05d3a56f-c89a-47ae-ab9a-7442ea527b07.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}