This 5-day beginner-level Python course will introduce you to the fundamentals of analyzing the price of Ethereum (ETH) in the cryptocurrency market. You will learn how to use Python and popular libraries to retrieve historical price data, perform data analysis, and visualize trends and patterns. No prior experience with Python or cryptocurrency is required. By the end of this course, you will have the skills to extract valuable insights from Ethereum price data and make informed decisions.
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Day 1: Introduction to Python and Cryptocurrency
- Setting up Python development environment.
- Introduction to Python programming basics.
- Overview of the Ethereum cryptocurrency and its significance.
- Introduction to data analysis in Python.
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Day 2: Retrieving Historical Price Data
- Understanding API requests and responses.
- Retrieving historical price data for Ethereum using an API.
- Handling JSON data in Python.
- Data cleaning and preprocessing techniques.
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Day 3: Analyzing Price Data
- Performing statistical analysis on Ethereum price data.
- Calculating daily returns and volatility.
- Identifying trends and patterns in the data.
- Introduction to data visualization using Python libraries.
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Day 4: Building Price Analysis Models
- Introduction to regression analysis.
- Building a linear regression model to predict Ethereum prices.
- Evaluating the model's performance.
- Exploring other modeling techniques.
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Day 5: Visualizing and Presenting Insights
- Creating interactive visualizations of Ethereum price data.
- Designing informative charts and graphs.
- Presenting insights and findings from the analysis.
- Final project: Applying the learned concepts to analyze Ethereum price data.
Note: Each day will include a mix of theory, hands-on coding exercises, and practical examples to reinforce your understanding of Python and analyzing Ethereum price data.