{"id":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","title":"Python for Data Science: Masterclass — Projects and Assignments","description":"The course Python for Data Science: Masterclass — Projects and Assignments 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 10 lessons, applied work with Python, Pandas and NumPy, and a final data pipeline blueprint; the focus is core concepts and mental models, data handling and preparation and tools, setup, and learning environment.","contentLanguage":"en","coverUrl":"/course-covers/python-for-data-science-masterclass-projects-and-ass-0f388390-3a2.webp","createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:51:45.773Z","durationSeconds":111600,"authorId":"8159025d-0cf5-42d2-a1ea-c4578b59df29","rating":4.8,"reviewCount":5,"expectedLessonsCount":10,"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 projects and assignments.","question":"Do I need prior experience?"},{"answer":"A comfortable pace is 6–8 hours per week. In total, the course includes 10 lessons and about 31 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 Python, Pandas and NumPy.","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":149,"features":[],"highlighted":true}],"minPricingTierPrice":149,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"8426e212-0e70-4365-981a-f375e42464f6","lessons":[{"id":"f9462b27-e49e-40eb-ab31-09f52ce0d8c8","title":"Python for Data Science: Masterclass — Projects and Assignments — course orientation and outcomes","description":"Lesson 1 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through course orientation and outcomes in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":0,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"0e0c166b-90b2-4664-a914-b4ea718816e4","title":"Python for Data Science: Masterclass — Projects and Assignments — core concepts and mental models","description":"Lesson 2 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through core concepts and mental models in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":1,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"cc0c5412-e949-4e0c-ae71-0ede817e2599","title":"Python for Data Science: Masterclass — Projects and Assignments — data handling and preparation","description":"Lesson 3 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through data handling and preparation in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":2,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"5e8dc88f-fb99-4377-b382-a7e234672be7","title":"Python for Data Science: Masterclass — Projects and Assignments — tools, setup, and learning environment","description":"Lesson 4 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through tools, setup, and learning environment in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":3,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"601f1358-4451-419e-88f1-98991533070f","title":"Python for Data Science: Masterclass — Projects and Assignments — practical workflows and process design","description":"Lesson 5 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through practical workflows and process design in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":4,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"65b06d5e-2581-4f22-b86c-77a518bdb94b","title":"Python for Data Science: Masterclass — Projects and Assignments — queries, models, and structure","description":"Lesson 6 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through queries, models, and structure in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":5,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"aa0c3f21-8f8b-452d-889e-a6cdedd6cd60","title":"Python for Data Science: Masterclass — Projects and Assignments — project build and review","description":"Lesson 7 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through project build and review in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":6,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"1364d03f-9aeb-4b65-ab74-bd2d0ff04d74","title":"Python for Data Science: Masterclass — Projects and Assignments — troubleshooting and common pitfalls","description":"Lesson 8 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through troubleshooting and common pitfalls in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":7,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"01422efe-8d05-425a-b84f-df4465098690","title":"Python for Data Science: Masterclass — Projects and Assignments — metrics, quality, and decision criteria","description":"Lesson 9 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through metrics, quality, and decision criteria in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":8,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"752fcf01-7976-4d8b-8265-9814d50c3e66","title":"Python for Data Science: Masterclass — Projects and Assignments — implementation, handoff, and next steps","description":"Lesson 10 of 10 in Python for Data Science: Masterclass — Projects and Assignments: work through implementation, handoff, and next steps in the context of Python for Data Science, and turn the result into a reusable part of the final data pipeline blueprint using Python and Pandas.","videoUrl":null,"videoFileName":null,"duration":11160,"position":9,"createdAt":"2026-05-26T07:46:06.561Z","updatedAt":"2026-05-26T07:46:06.561Z","courseId":"1a9a03b5-e7a9-4281-b982-ac44ba1d5737","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"8159025d-0cf5-42d2-a1ea-c4578b59df29","name":"James Coleman","avatarUrl":"https://lernrise.com/public/avatars/teacher-avatars/en/5e6e358b-f1a8-4893-96d1-1d8e2e9cc064.webp","bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}