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Data Science Syllabus
Roadmap to Data Scientist. The complete Data Science outline — 9 subjects, 72 chapters and 251 topics — laid out so you can see exactly what has to be covered and tick each item off as you go.
Data Science subjects
Each subject below has its own page with the full chapter → topic → sub-topic tree and a set of real exam-style flashcards.
10 chapters · 53 topics
Python Programming9 chapters · 30 topics · 62 sub-topics
Databases7 chapters · 25 topics · 68 sub-topics
Data Wrangling and Exploration7 chapters · 33 topics
Data Visualization7 chapters · 20 topics · 60 sub-topics
Machine Learning11 chapters · 29 topics · 105 sub-topics
Deep Learning6 chapters · 21 topics · 63 sub-topics
Natural Language Processing (NLP)7 chapters · 21 topics · 57 sub-topics
Big Data Technologies8 chapters · 19 topics · 61 sub-topics
Data Science flashcard decks
490 question-and-answer cards across 9 decks, written against this syllabus. Preview any deck free.
How to work through the Data Science syllabus
The outline on this page is arranged the way the syllabus itself is: subject, then chapter, then topic, then sub-topic. That last level is what most study plans skip, and it is where coverage actually goes wrong — a chapter marked "done" often has three sub-topics inside it that were never touched.
Weight your plan accordingly: Mathematics and Statistics carries 53 topics while Big Data Technologies carries 19. Giving both the same number of weeks is the most common planning mistake for Data Science.
The ~285 hour estimate above is a first pass only: roughly 45 minutes per topic plus 12 minutes per sub-topic. Revision cycles, past papers and mocks sit on top of that number.
Data Science syllabus FAQ
What subjects are in the Data Science syllabus?
Data Science covers 9 subjects: Mathematics and Statistics, Python Programming, Databases, Data Wrangling and Exploration, Data Visualization, Machine Learning, Deep Learning and Natural Language Processing (NLP), and 1 more. Together they contain 72 chapters and 251 named topics.
How big is the Data Science syllabus?
The full Data Science outline breaks down into 72 chapters, 251 topics and 476 sub-topics. Mathematics and Statistics is the largest single subject with 53 topics across 10 chapters.
How long does it take to cover the whole Data Science syllabus?
Roughly 285 hours for one full pass. That estimate allows about 45 minutes per topic plus 12 minutes per sub-topic, so it is first-pass coverage — revision, past papers and mock tests sit on top of it. At 3 hours a day that is about 14 weeks.
Are there Data Science flashcards?
Yes — 490 question-and-answer flashcards across 9 decks, one per subject, written against this syllabus. A sample of every deck is readable on this site for free, and the complete decks are in the Examius app.
Is this Data Science syllabus free to use?
Yes. Every page here is free to read, and importing the Data Science syllabus into the Examius app to tick off topics as you finish them is free too. No account is needed to start.
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