{"id":"004ebb27-c515-49a8-87c2-07d9ae955b1d","title":"Data Science Fundamentals: Starter — Confident Applied Level","description":"The course Data Science Fundamentals: Starter — Confident Applied Level is designed for career starters and switchers aged 25–34 and turns the topic into a practical result instead of abstract theory. The program includes 6 lessons, applied work with Python, notebooks and EDA, and a final analysis notebook; the focus is core concepts and mental models, data handling and preparation and queries, models, and structure.","contentLanguage":"en","coverUrl":"/course-covers/data-science-fundamentals-starter-confident-applied--b22fe1a7-13f.webp","createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:51:42.535Z","durationSeconds":50400,"authorId":"7843c657-8c67-4b6d-9fb5-1f7670c715b5","rating":4.8,"reviewCount":5,"expectedLessonsCount":6,"trailerUrl":null,"faq":[{"answer":"Comfort with basic math and tables is recommended. The course starts with a clear ramp-up and then moves into confident applied level.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 3–5 hours per week. In total, the course includes 6 lessons and about 14 hours of guided study.","question":"How much time should I set aside each week?"},{"answer":"You will finish with a analysis notebook plus reusable materials built around Python, notebooks and EDA.","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":"ce9cccc8-c6bd-402c-ad10-e4a382e4d43c","title":"Data Science Fundamentals: Starter — Confident Applied Level — course orientation and outcomes","description":"Lesson 1 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through course orientation and outcomes in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":0,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"43cfeb1b-cb1c-4aec-9967-340394bd4100","title":"Data Science Fundamentals: Starter — Confident Applied Level — core concepts and mental models","description":"Lesson 2 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through core concepts and mental models in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":1,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"ca88088b-c5c7-440a-a2bb-710abc9d703f","title":"Data Science Fundamentals: Starter — Confident Applied Level — data handling and preparation","description":"Lesson 3 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through data handling and preparation in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":2,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"53f75e7c-ace1-4558-afe6-2c18b287fd9f","title":"Data Science Fundamentals: Starter — Confident Applied Level — queries, models, and structure","description":"Lesson 4 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through queries, models, and structure in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":3,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"43469c72-19f3-49bb-8346-662e0bdf9f40","title":"Data Science Fundamentals: Starter — Confident Applied Level — visualization and dashboards","description":"Lesson 5 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through visualization and dashboards in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":4,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"10e9d89c-f302-4ff7-bb37-c4813b569c72","title":"Data Science Fundamentals: Starter — Confident Applied Level — project build and review","description":"Lesson 6 of 6 in Data Science Fundamentals: Starter — Confident Applied Level: work through project build and review in the context of Data Science Fundamentals, and turn the result into a reusable part of the final analysis notebook using Python and notebooks.","videoUrl":null,"videoFileName":null,"duration":8400,"position":5,"createdAt":"2026-05-26T07:46:28.812Z","updatedAt":"2026-05-26T07:46:28.812Z","courseId":"004ebb27-c515-49a8-87c2-07d9ae955b1d","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"7843c657-8c67-4b6d-9fb5-1f7670c715b5","name":"Patrick Morgan","avatarUrl":null,"bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}