{"id":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","title":"Python for Data Science: Intensive — Foundations and Tools","description":"The course Python for Data Science: Intensive — Foundations and Tools 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 9 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-intensive-foundations-and-to-a289bcb7-ff2.webp","createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:51:45.754Z","durationSeconds":90000,"authorId":"5baf79fd-6f78-4623-94fd-8aa03e644a33","rating":4.5,"reviewCount":20,"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 foundations and tools.","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 25 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":99,"features":[],"highlighted":true}],"minPricingTierPrice":99,"bonuses":[],"status":"READY","archivedAt":null,"categoryId":"8426e212-0e70-4365-981a-f375e42464f6","lessons":[{"id":"0d57b508-8a54-4e27-9076-41b4413e38f5","title":"Python for Data Science: Intensive — Foundations and Tools — course orientation and outcomes","description":"Lesson 1 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":0,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"85ed9117-d7b1-4e3f-8aae-feb6caf3e375","title":"Python for Data Science: Intensive — Foundations and Tools — core concepts and mental models","description":"Lesson 2 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":1,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"b62cc4ca-6935-4e9f-9cc9-703c40a4bea7","title":"Python for Data Science: Intensive — Foundations and Tools — data handling and preparation","description":"Lesson 3 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":2,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"31f04b35-a1b2-4c42-b587-3b32a65f1e66","title":"Python for Data Science: Intensive — Foundations and Tools — tools, setup, and learning environment","description":"Lesson 4 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":3,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"e3228738-b035-4588-a75f-1d7f4d6fa95a","title":"Python for Data Science: Intensive — Foundations and Tools — practical workflows and process design","description":"Lesson 5 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":4,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"7a080424-1133-4226-9d9d-97c1f7fce701","title":"Python for Data Science: Intensive — Foundations and Tools — queries, models, and structure","description":"Lesson 6 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":5,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"b873a3b0-eeec-4fc6-b9dd-73f7dccb9fe3","title":"Python for Data Science: Intensive — Foundations and Tools — project build and review","description":"Lesson 7 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":6,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"6667656e-24e5-4672-bb81-cd5679a3fbf3","title":"Python for Data Science: Intensive — Foundations and Tools — troubleshooting and common pitfalls","description":"Lesson 8 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":7,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null},{"id":"16554061-a799-4938-9aaa-1a5b4376075d","title":"Python for Data Science: Intensive — Foundations and Tools — implementation, handoff, and next steps","description":"Lesson 9 of 9 in Python for Data Science: Intensive — Foundations and Tools: 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":10000,"position":8,"createdAt":"2026-05-26T07:45:40.629Z","updatedAt":"2026-05-26T07:45:40.629Z","courseId":"c069a33d-507f-4c9e-bc66-2f1d4474b0d0","attachments":null,"dripDelayDays":null,"isFreePreview":false,"previewStartSeconds":0,"previewEndSeconds":null,"prerequisiteId":null,"unlockAt":null,"availablePricingTierIds":null}],"author":{"id":"5baf79fd-6f78-4623-94fd-8aa03e644a33","name":"Nicholas Bell","avatarUrl":null,"bio":null,"socialLinks":null,"isPlatformRepresentative":false},"hasTeamOffer":false,"teamOfferSummary":null}