{"id":"93832895-93df-4a9e-b8b2-71cdc93f693b","title":"Data Engineering: Bootcamp — Quick Start","description":"Data Engineering: Bootcamp — Quick Start is a bootcamp course for career starters and switchers aged 25–34. Across 9 lessons and about 27 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-bootcamp-quick-start-d2541bce-221.webp","createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:51:42.304Z","durationSeconds":97200,"authorId":"3237ee7c-b832-4668-b3de-b7b52a5c46d3","rating":4.444444444444445,"reviewCount":9,"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 quick start.","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 27 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":"64dfd095-4486-4b05-a37d-982c7df0aca5","title":"Data Engineering: Bootcamp — Quick Start — course orientation and outcomes","description":"Lesson 1 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":0,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"bd6d0f5f-67e5-49f0-9d3e-94968041b457","title":"Data Engineering: Bootcamp — Quick Start — core concepts and mental models","description":"Lesson 2 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":1,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"6ddd4d3e-62e1-41ae-b57f-8b7689d1d649","title":"Data Engineering: Bootcamp — Quick Start — data handling and preparation","description":"Lesson 3 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":2,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"07b326b5-6a6b-4fb7-9b31-d6003d0d637d","title":"Data Engineering: Bootcamp — Quick Start — tools, setup, and learning environment","description":"Lesson 4 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":3,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"930bde6c-529d-4340-8a5e-22dd304221f9","title":"Data Engineering: Bootcamp — Quick Start — practical workflows and process design","description":"Lesson 5 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":4,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"c3da1947-59ae-41f1-a76a-5829dddb9465","title":"Data Engineering: Bootcamp — Quick Start — queries, models, and structure","description":"Lesson 6 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":5,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"8ab0c60b-1532-407c-acdb-67bbdf62ab67","title":"Data Engineering: Bootcamp — Quick Start — project build and review","description":"Lesson 7 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":6,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"55466e4e-5fbb-46b7-9f98-623a42750357","title":"Data Engineering: Bootcamp — Quick Start — troubleshooting and common pitfalls","description":"Lesson 8 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":7,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ba06ea0b-7e07-4d0c-b59d-ef8b2a2b0460","title":"Data Engineering: Bootcamp — Quick Start — implementation, handoff, and next steps","description":"Lesson 9 of 9 in Data Engineering: Bootcamp — Quick Start: 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":10800,"position":8,"createdAt":"2026-05-26T07:46:23.047Z","updatedAt":"2026-05-26T07:46:23.047Z","courseId":"93832895-93df-4a9e-b8b2-71cdc93f693b","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"3237ee7c-b832-4668-b3de-b7b52a5c46d3","name":"Noah Jenkins","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/a89da9d9-3e26-4feb-98ba-dc525514edbc.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}