{"id":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","title":"Data Engineering: Applied — Implementation at Work","description":"Data Engineering: Applied — Implementation at Work is an applied course for career starters and switchers aged 25–34. Across 9 lessons and about 26 hours, the curriculum focuses on core concepts and mental models, data handling and preparation and tools, setup, and learning environment. The final output is a reusable data pipeline blueprint built with ETL, SQL and pipelines.","contentLanguage":"en","coverUrl":"/course-covers/data-engineering-applied-implementation-at-work-198d7dbc-1f2.webp","createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:51:42.285Z","durationSeconds":93600,"authorId":"6ac67563-6d25-422d-b21e-23206f2e4f48","rating":4.782608695652174,"reviewCount":23,"expectedLessonsCount":9,"trailerUrl":null,"faq":[{"answer":"Basic Python or SQL will make the pace easier. The course starts with a clear ramp-up and then moves into implementation at 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 26 hours of guided study.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a data pipeline blueprint plus reusable materials built around ETL, SQL and pipelines.","question":"What will I finish the course with?"}],"learningOutcomes":null,"requirements":null,"levels":["intermediate"],"firstLessonFreePreviewEnabled":false,"certificateEnabled":true,"isPlatformCourse":false,"pricingTiers":[{"id":"standard","name":"Standard","price":119,"features":[],"highlighted":true}],"minPricingTierPrice":119,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"8426e212-0e70-4365-981a-f375e42464f6","lessons":[{"id":"432bdcb1-95ff-435c-837e-779740dbb367","title":"Data Engineering: Applied — Implementation at Work — course orientation and outcomes","description":"Lesson 1 of 9 in Data Engineering: Applied — Implementation at Work: work through course orientation and outcomes in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":0,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"e3b4f795-a1e1-4190-aecc-f99eee911e7b","title":"Data Engineering: Applied — Implementation at Work — core concepts and mental models","description":"Lesson 2 of 9 in Data Engineering: Applied — Implementation at Work: work through core concepts and mental models in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":1,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"f86d48e0-f9b1-4d1c-9ff8-09f3b2a7dfab","title":"Data Engineering: Applied — Implementation at Work — data handling and preparation","description":"Lesson 3 of 9 in Data Engineering: Applied — Implementation at Work: work through data handling and preparation in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":2,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"b5abb9d3-36cc-4d92-b35d-86b9f9dda179","title":"Data Engineering: Applied — Implementation at Work — tools, setup, and learning environment","description":"Lesson 4 of 9 in Data Engineering: Applied — Implementation at Work: work through tools, setup, and learning environment in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":3,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"9ae12e0b-408a-4c52-a7f9-834d5eeeeea2","title":"Data Engineering: Applied — Implementation at Work — practical workflows and process design","description":"Lesson 5 of 9 in Data Engineering: Applied — Implementation at Work: work through practical workflows and process design in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":4,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"79d6abc8-7f02-4cb3-9081-660b673062ab","title":"Data Engineering: Applied — Implementation at Work — queries, models, and structure","description":"Lesson 6 of 9 in Data Engineering: Applied — Implementation at Work: work through queries, models, and structure in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":5,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"f6c4f937-e318-48cf-8a9f-29f503504ee7","title":"Data Engineering: Applied — Implementation at Work — project build and review","description":"Lesson 7 of 9 in Data Engineering: Applied — Implementation at Work: work through project build and review in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":6,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"4fac3dca-e993-4c64-a59a-40f43f28150b","title":"Data Engineering: Applied — Implementation at Work — troubleshooting and common pitfalls","description":"Lesson 8 of 9 in Data Engineering: Applied — Implementation at Work: work through troubleshooting and common pitfalls in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":7,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"1b9edc26-0dbd-4534-8575-88b683f15041","title":"Data Engineering: Applied — Implementation at Work — implementation, handoff, and next steps","description":"Lesson 9 of 9 in Data Engineering: Applied — Implementation at Work: work through implementation, handoff, and next steps in the context of Data Engineering, and turn the result into a reusable part of the final data pipeline blueprint using ETL and SQL.","videoUrl":null,"videoFileName":null,"duration":10400,"position":8,"createdAt":"2026-05-26T07:46:09.445Z","updatedAt":"2026-05-26T07:46:09.445Z","courseId":"e9852ee3-5775-4851-8d1f-f2c8a87d6f77","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"6ac67563-6d25-422d-b21e-23206f2e4f48","name":"Wesley Cooper","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/72c8731c-a459-4e47-89e4-6f793450c828.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}