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Tracking the Cryptocurrency Market with CoinAPI using Python

A concise, hands-on course that equips Python developers to harness CoinAPI for real-time and historical cryptocurrency market data, complete with Django integration.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you learn in Tracking the Cryptocurrency Market with CoinAPI using Python Course

  • Authenticate and interact with CoinAPI’s REST endpoints using Python and API keys

  • Fetch real-time and historical cryptocurrency data: assets, exchanges, trades, OHLCV, and order books

  • Retrieve and analyze exchange rates time series for currency conversion and portfolio evaluation

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  • Parse JSON responses into Python objects and pandas DataFrames for downstream analysis

  • Integrate CoinAPI calls into a Django web app to build a live cryptocurrency market-data dashboard

Program Overview

Module 1: Introduction & CoinAPI Setup

⏳ 10 minutes

  • Topics: Course objectives, CoinAPI use cases, requesting and storing your API key

  • Hands-on: Generate a free CoinAPI key, configure it in your Python environment

Module 2: Metadata Endpoints

⏳ 15 minutes

  • Topics: /v1/exchanges, /v1/assets, /v1/symbols endpoints and response structures

  • Hands-on: Fetch and display lists of available exchanges, assets, and trading symbols

Module 3: Market Data Basics

⏳ 20 minutes

  • Topics: Trades, OHLCV, Level-1 quotes, Level-2 and Level-3 order-book data

  • Hands-on: Write Python functions to retrieve recent trade streams and OHLCV candles

Module 4: Exchange Rates & Time Series

⏳ 15 minutes

  • Topics: /v1/exchangerate and /v1/exchangerate/{asset_id}/history for spot and historical rates

  • Hands-on: Fetch current BTC→USD rate and plot its historical time series

Module 5: Building a Django Market-Data App

⏳ 30 minutes

  • Topics: Django project setup, views, templates, and AJAX for live updates

  • Hands-on: Create a dashboard that displays asset prices and exchange-rate charts in real time

Module 6: Conclusion & Next Steps

⏳ 5 minutes

  • Topics: Recap, error handling, rate-limit awareness, and further CoinAPI features (e.g., quotes)

  • Hands-on: Sketch enhancements like caching, user portfolios, and alerting based on price thresholds

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Job Outlook

  • Data Engineer / API Developer: $85,000–$125,000/year—integrate financial-market APIs into analytics pipelines

  • Quantitative Analyst (Entry-Level): $90,000–$130,000/year—leverage real-time crypto data for trading strategies

  • Full-Stack Python Developer: $80,000–$120,000/year—build data-driven dashboards and fintech applications

  • Proficiency with CoinAPI and Python positions you for roles in crypto-focused startups, fintechs, and data-science teams.

9.5Expert Score
Highly Recommendedx
Educative’s labs deliver a practical introduction to cryptocurrency market data, mapping CoinAPI endpoints to real-world Python and Django examples.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Comprehensive coverage of metadata, market data, and exchange rates
  • Hands-on Django integration produces a functioning market-data dashboard
  • Lightweight course—complete end to end in under 90 minutes
CONS
  • Read-only API focus; does not cover trading or order-submission flows
  • Limited depth on data visualization beyond basic plotting

Specification: Tracking the Cryptocurrency Market with CoinAPI using Python

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Tracking the Cryptocurrency Market with CoinAPI using Python
Tracking the Cryptocurrency Market with CoinAPI using Python
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