Build five projects using live cryptocurrency data from the web. We will use the free CoinMarketCap crypto API.
InstructorIan Annase
Free
FreeThe curriculum transitions from API fundamentals to five distinct project implementations, such as real-time price alerts and Excel data storage.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
The terminal output displays a formatted cryptocurrency portfolio table listing assets like Bitcoin and Ethereum alongside their USD values and percentage changes over various timeframes.
This split-screen view shows Python code for a cryptocurrency alert system alongside a terminal demonstrating both an initial error and successful price tracking output.
This screen capture demonstrates the workflow of writing real-time cryptocurrency market data from a Python script into an Excel spreadsheet.
Instructional signals highlight a good pace and clear explanations of the logic used during coding tasks.
The primary API has been remodeled, now requiring account creation and specific API keys that are not fully addressed in the current lessons.
Some content may be platform-specific, and learner signals suggest limited instructor responsiveness to technical hurdles caused by API changes.
The trade-off makes sense for learners who already possess some Python knowledge and are comfortable navigating API documentation independently to resolve connection errors.
Score breakdown
While projects cover various endpoints, signals suggest a need for more complex data analysis and better program structure.
The course is built around five distinct project implementations and hands-on tasks.
Instructional signals are mixed; some find the pace clear while others struggle with visibility and depth.
The primary API has changed significantly, requiring new authentication steps not covered in the current path.
The curriculum aligns well with those having prior Python knowledge, though it may be difficult for absolute beginners.