{"id":"87a26856-9044-4ba1-8473-83a07f322979","title":"Python for Data Science: Lab — Projects and Assignments","description":"The course Python for Data Science: Lab — 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-lab-projects-and-assignments-385ab637-018.webp","createdAt":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:51:45.762Z","durationSeconds":111600,"authorId":"02550478-7e29-4630-9ab4-726c441a220a","rating":4.6,"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":"17df0fe3-78cb-4798-bdf5-972e3135c547","title":"Python for Data Science: Lab — Projects and Assignments — course orientation and outcomes","description":"Lesson 1 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"646f6b58-387b-4cdb-b4ba-96b9114f7fb0","title":"Python for Data Science: Lab — Projects and Assignments — core concepts and mental models","description":"Lesson 2 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"e7466306-ceee-4a57-bff5-4c25e291f99c","title":"Python for Data Science: Lab — Projects and Assignments — data handling and preparation","description":"Lesson 3 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"27c797cd-f25d-4710-a20f-080818285567","title":"Python for Data Science: Lab — Projects and Assignments — tools, setup, and learning environment","description":"Lesson 4 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"a83f232c-3f49-469b-8050-be16dcad7144","title":"Python for Data Science: Lab — Projects and Assignments — practical workflows and process design","description":"Lesson 5 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"f03e53d8-3617-43d0-96e8-7b20a96be1b6","title":"Python for Data Science: Lab — Projects and Assignments — queries, models, and structure","description":"Lesson 6 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"c5ebab1e-c318-4651-b429-0d9bcf96d717","title":"Python for Data Science: Lab — Projects and Assignments — project build and review","description":"Lesson 7 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"743bd21c-1bb1-42a3-80a5-9564a4871636","title":"Python for Data Science: Lab — Projects and Assignments — troubleshooting and common pitfalls","description":"Lesson 8 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"15958100-97d3-4f5d-a2e2-1372e1d53c6b","title":"Python for Data Science: Lab — Projects and Assignments — metrics, quality, and decision criteria","description":"Lesson 9 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"11d49b5e-111c-4f1e-947f-74837394eeb2","title":"Python for Data Science: Lab — Projects and Assignments — implementation, handoff, and next steps","description":"Lesson 10 of 10 in Python for Data Science: Lab — 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":"2026-05-26T07:46:04.960Z","updatedAt":"2026-05-26T07:46:04.960Z","courseId":"87a26856-9044-4ba1-8473-83a07f322979","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"02550478-7e29-4630-9ab4-726c441a220a","name":"Aaron Coleman","avatarUrl":null,"bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}