{"id":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","title":"Data Engineering: Practicum — Advanced Essentials","description":"Data Engineering: Practicum — Advanced Essentials is aimed at working specialists and managers aged 25–44 who need a structured upgrade they can deploy at work quickly. The program includes 8 lessons and about 24 hours, with emphasis on course orientation and outcomes, core concepts and mental models, and tools, setup, and learning environment; the capstone is a analytics casebook produced with Jupyter, Tableau and Excel.","contentLanguage":"en","coverUrl":"/course-covers/data-engineering-practicum-advanced-essentials-0007dbae-b6b.webp","createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:51:42.382Z","durationSeconds":86400,"authorId":"1a81a5c9-6358-4397-a6c1-f90313360c4f","rating":4.675675675675675,"reviewCount":37,"expectedLessonsCount":8,"trailerUrl":null,"faq":[{"answer":"Basic familiarity is recommended. The opening block quickly aligns terminology and tools, then moves straight into hands-on implementation.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 3–5 hours per week. In total, the course includes 8 lessons and about 24 hours of guided work.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a analytics casebook plus reusable materials built around Jupyter and Tableau.","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":129,"features":[],"highlighted":true}],"minPricingTierPrice":129,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"8426e212-0e70-4365-981a-f375e42464f6","lessons":[{"id":"72140792-9d7d-464d-b6f6-53f95db17dcd","title":"Data Engineering: Practicum — Advanced Essentials — course orientation and outcomes","description":"Lesson 1 of 8 in Data Engineering: Practicum — Advanced Essentials: work through course orientation and outcomes and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":0,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ef6f1d6e-f032-4a80-803f-2d241ba08566","title":"Data Engineering: Practicum — Advanced Essentials — core concepts and mental models","description":"Lesson 2 of 8 in Data Engineering: Practicum — Advanced Essentials: work through core concepts and mental models and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":1,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"c9c2eb02-dd5c-4c6c-bbb8-669701d1b1f5","title":"Data Engineering: Practicum — Advanced Essentials — tools, setup, and learning environment","description":"Lesson 3 of 8 in Data Engineering: Practicum — Advanced Essentials: work through tools, setup, and learning environment and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":2,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"5e62c90e-002c-4c35-b392-31e9c90fba45","title":"Data Engineering: Practicum — Advanced Essentials — practical workflows and process design","description":"Lesson 4 of 8 in Data Engineering: Practicum — Advanced Essentials: work through practical workflows and process design and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":3,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"9261e8bf-cba5-4e35-a7b7-88b49ff9a056","title":"Data Engineering: Practicum — Advanced Essentials — real cases and guided practice","description":"Lesson 5 of 8 in Data Engineering: Practicum — Advanced Essentials: work through real cases and guided practice and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":4,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"93dff1fa-3e2c-4292-80f2-273469ab701f","title":"Data Engineering: Practicum — Advanced Essentials — project build and review","description":"Lesson 6 of 8 in Data Engineering: Practicum — Advanced Essentials: work through project build and review and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":5,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"8f9d4e91-4c6d-4ba5-bb7e-9ebf0e0a56c4","title":"Data Engineering: Practicum — Advanced Essentials — implementation, handoff, and next steps","description":"Lesson 7 of 8 in Data Engineering: Practicum — Advanced Essentials: work through implementation, handoff, and next steps and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":6,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"cd821889-d9f7-493c-8fde-ee67016ea96f","title":"Data Engineering: Practicum — Advanced Essentials — visualization and dashboards","description":"Lesson 8 of 8 in Data Engineering: Practicum — Advanced Essentials: work through visualization and dashboards and turn the result into a reusable part of the final analytics casebook using Jupyter and Tableau.","videoUrl":null,"videoFileName":null,"duration":10800,"position":7,"createdAt":"2026-05-26T07:47:22.756Z","updatedAt":"2026-05-26T07:47:22.756Z","courseId":"b2055ead-f44d-4fb6-94cc-f9a5001d9a53","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"1a81a5c9-6358-4397-a6c1-f90313360c4f","name":"Peter Greene","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/15abee25-38c7-45b2-a757-a78c86b4a920.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}