CS50x sections
Use for programming, algorithms, memory, data structures, Python, SQL, and web section walkthroughs.
A project-based relational database course covering querying, joins, schema design, normalization, constraints, transactions, views, indexes, query plans, application integration, and scaling.
A project-based relational database course covering querying, joins, schema design, normalization, constraints, transactions, views, indexes, query plans, application integration, and scaling.
This track is organized as a mastery loop: source study, sequenced checks, Khan report evidence, then tutor handoff only when the data shows a real stuck point.
Use linked OER and companion sources before attempting checks.
Move through numbered PeerTutor problems without skipping failed gates.
Enter Khan report evidence and let the adaptive plan rank repair units.
Bring exact misses, notes, and one sharp question to a tutor.
The bank is intentionally mixed across facets and difficulty so high scores cannot come from one narrow question style.
Use these linked courses for video instruction and mastery practice, then return here for PeerTutor original checks and tutor help on the exact unit that got stuck.
External video content is linked or embedded through provider-hosted players, not copied. PeerTutor practice is original and cites each source path separately.
Watch the strongest public video path inside PeerTutor, then use the unit checks below to prove the student can actually do the work.
Use for programming, algorithms, memory, data structures, Python, SQL, and web section walkthroughs.
Use for long-form project tutorials in Python, JavaScript, data science, machine learning, and web development.
Khan Academy progress has to be entered from the student or tutor report. Khan does not provide a supported public progress API, so this mirror stores unit status locally and uses it to target PeerTutor checks.
Khan Academy does not provide a supported public progress API or external API keys. PeerTutor stores student-provided report evidence and maps it to original practice instead.
0 repair units and 5 practice units need attention before extension.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
No Khan mirror data yet; this is a normal practice candidate, not a proven weakness.
Complete 12 sequenced checks and advance only after misses are corrected.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Querying relational data", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Relating tables with joins", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Schema design and normalization", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Writing and transactions", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Views, triggers, and database interfaces", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Indexes and query optimization", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Rebuild the unit: do 12 PeerTutor checks, log every miss, then ask a tutor from the error log.
Khan evidence to mirror: percent/mastery for "Scaling and final database project", missed skill, last activity date, and the next Khan item assigned by the teacher report.
Built for independent progress first, then tutor support where the student gets stuck.
Practice: Answer a dataset question set and explain the row set produced at each query stage.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Use SELECT, filtering, sorting, expressions, aggregates, grouping, and null semantics.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Answer a dataset question set and explain the row set produced at each query stage.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Translate questions into deterministic queries.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Querying relational data runs once for each value 0 through 3. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Querying relational data"?
Which practice artifact should you produce for "Querying relational data" before asking a tutor for help?
Which target best proves readiness for "Querying relational data"?
Which second target belongs to "Querying relational data"?
Practice: Build a multi-table report and prove its row counts with intermediate checks.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Use primary and foreign keys plus inner, outer, cross, and self joins.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Build a multi-table report and prove its row counts with intermediate checks.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Detect duplicate amplification and missing relationships.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Relating tables with joins runs once for each value 0 through 4. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Relating tables with joins"?
Which practice artifact should you produce for "Relating tables with joins" before asking a tutor for help?
Which target best proves readiness for "Relating tables with joins"?
Which second target belongs to "Relating tables with joins"?
Practice: Turn a messy spreadsheet into a normalized schema with an ER diagram and written invariants.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Model entities, relationships, cardinality, types, constraints, and normal forms.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Turn a messy spreadsheet into a normalized schema with an ER diagram and written invariants.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Separate facts to prevent update anomalies.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Schema design and normalization runs once for each value 0 through 5. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Schema design and normalization"?
Which practice artifact should you produce for "Schema design and normalization" before asking a tutor for help?
Which target best proves readiness for "Schema design and normalization"?
Which second target belongs to "Schema design and normalization"?
Practice: Implement a multi-step write transaction and test success, validation failure, and rollback behavior.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Use INSERT, UPDATE, DELETE, upserts, transactions, isolation concepts, and rollback.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Implement a multi-step write transaction and test success, validation failure, and rollback behavior.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Preserve invariants under failure and concurrency.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Writing and transactions runs once for each value 0 through 6. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Writing and transactions"?
Which practice artifact should you produce for "Writing and transactions" before asking a tutor for help?
Which target best proves readiness for "Writing and transactions"?
Which second target belongs to "Writing and transactions"?
Practice: Create a safe reporting view and an application query layer with explicit inputs and outputs.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Use views, triggers, stored logic carefully, and parameterized application queries.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Create a safe reporting view and an application query layer with explicit inputs and outputs.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Protect data boundaries and avoid injection.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Views, triggers, and database interfaces runs once for each value 0 through 7. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Views, triggers, and database interfaces"?
Which practice artifact should you produce for "Views, triggers, and database interfaces" before asking a tutor for help?
Which target best proves readiness for "Views, triggers, and database interfaces"?
Which second target belongs to "Views, triggers, and database interfaces"?
Practice: Profile a slow query, add or revise one index, and compare plans and timings.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Read query plans and use indexes based on measured access paths.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Profile a slow query, add or revise one index, and compare plans and timings.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Recognize full scans, poor selectivity, and unnecessary work.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Indexes and query optimization runs once for each value 0 through 8. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Indexes and query optimization"?
Which practice artifact should you produce for "Indexes and query optimization" before asking a tutor for help?
Which target best proves readiness for "Indexes and query optimization"?
Which second target belongs to "Indexes and query optimization"?
Practice: Deliver a database-backed project with migrations, seed data, constraints, transactions, query-plan evidence, and recovery notes.
Start with CS50's Introduction to Databases with SQL and CS50x OpenCourseWare. Take notes until you can explain: Compare SQLite, PostgreSQL, and MySQL tradeoffs plus replication, caching, and partitioning concepts.
Do the first sequenced checks until the definitions, vocabulary, and setup are correct without hints.
Produce the assignment artifact, then pass the application and analysis checks tied to: Deliver a database-backed project with migrations, seed data, constraints, transactions, query-plan evidence, and recovery notes.
Any miss becomes an error-log entry, a clean redo, and one nearby transfer problem before advancing.
Bring your attempted work, the exact missed check, and one question about: Ship a tested schema and query portfolio.
Move in order: foundation, transfer, analysis, timed readiness, then metacognitive repair.
Start the next sequenced check: #1 Trace check. Do not jump ahead until this one is correct.
Weakest facet: Concept
A loop for Scaling and final database project runs once for each value 0 through 9. How many times does it run?
Which implementation is easiest to test?
Which target best matches the Databases & SQL unit "Scaling and final database project"?
Which practice artifact should you produce for "Scaling and final database project" before asking a tutor for help?
Which target best proves readiness for "Scaling and final database project"?
Which second target belongs to "Scaling and final database project"?
These are source links, not scraped course copies. Licenses differ, so the label tells students how each source is used.
View the full citation indexFree seven-week database course covering querying, relations, design, writing, views, optimization, scaling, and a final project.
Harvard CS50 sections and course materials for programming, algorithms, data structures, Python, SQL, and web foundations.
Long-form programming, computer science, data, math, and project tutorials from the freeCodeCamp nonprofit channel.