Cryptocurrency Forecasting using Machine Learning in PowerBI from Coursera

In this 1 hour long project, you will forecast the price of Bitcoin & Ethereum using multiple machine learning algorithms like ARIMA, Neural networks and Linear Regression. We will begin this project by importing real-time cryptocurrency data using finance API. We will then visualize the historical price and volume of Bitcoin using various charts & graphs. We will then forecast the price of Bitcoin using inbuilt Power BI forecasting tools. We will then import various visuals and then forecast the price of Bitcoin using machine learning algorithms like ARIMA, Neural networks and Linear Regression. In the final task, we will automate the dashboard so that you can forecast the price of any other cryptocurrencies within seconds. By the end of this project, you will be confident in forecasting any cryptocurrency or asset using Power BI. Requirement: In order to complete this project successfully, you need a professional email id (yourdomain emails) or a university email id if you are a student.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Abhishek Jha, who holds a doctorate in machine learning and has extensive experience in the field

Introduces real-time cryptocurrency data using finance API, providing practical insights

Automates the dashboard, allowing for efficient and rapid forecasting of any cryptocurrency

Requires a professional or university email, potentially limiting accessibility for some learners

Career center

Learners who complete Cryptocurrency Forecasting using Machine Learning in PowerBI will develop knowledge and skills that may be useful to these careers:

Cryptocurrency Analyst

Cryptocurrency Analysts may use the skills they build in this course to monitor and analyze various cryptocurrencies, helping them provide insights and recommendations to individuals or organizations considering investing in cryptocurrencies. This course's ability to teach how to forecast cryptocurrency prices using machine learning algorithms may be especially pertinent to this role.

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Data Scientist

Data Scientists may use the skills they build in this course to develop and implement machine learning models for various use cases related to cryptocurrency analysis and prediction. This course's ability to teach how to forecast cryptocurrency prices using machine learning algorithms may be especially helpful to Data Scientists specializing in cryptocurrency analytics or algorithmic trading.

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Financial Analyst

Financial Analysts may use the skills learned in this course to analyze and evaluate cryptocurrency markets, providing insights and recommendations to clients on investment decisions. This course's ability to teach how to forecast cryptocurrency prices using machine learning algorithms may be especially helpful to Financial Analysts as they look to stay ahead of market trends.

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Quantitative Analyst

Quantitative Analysts may use the skills learned in this course to develop and implement quantitative models for cryptocurrency trading strategies. The ability to forecast cryptocurrency prices using machine learning algorithms may give Quantitative Analysts an edge in building more effective trading models.

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Risk Manager

Risk Managers may use the skills learned in this course to analyze and mitigate risks associated with cryptocurrency investments. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Risk Managers as they work to manage risk exposure for their clients or organizations.

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Trader

Traders may use the skills learned in this course to develop and implement trading strategies for cryptocurrencies. The ability to forecast cryptocurrency prices using machine learning algorithms may give Traders an advantage in making informed trading decisions.

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Investment Banker

Investment Bankers may use the skills learned in this course to provide guidance to clients on cryptocurrency-related investments. The ability to understand and forecast cryptocurrency market trends may be valuable to Investment Bankers as they advise on investment strategies.

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Portfolio Manager

Portfolio Managers may use the skills learned in this course to make informed decisions on cryptocurrency allocations within a broader investment portfolio. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Portfolio Managers as they seek to optimize returns and manage risk.

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Consultant

Consultants may use the skills learned in this course to provide advice and guidance to clients on cryptocurrency-related matters. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Consultants as they work with clients to develop and implement investment strategies.

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Software Engineer

Software Engineers may use the skills learned in this course to develop and implement software solutions for cryptocurrency-related businesses. The ability to understand and forecast cryptocurrency market trends may be helpful to Software Engineers as they design and build software systems.

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Researcher

Researchers may use the skills learned in this course to conduct research and analysis on cryptocurrency markets and trends. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Researchers as they explore and develop new insights into cryptocurrency markets.

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Financial Planner

Financial Planners may use the skills learned in this course to provide guidance to clients on cryptocurrency investments. The ability to understand and forecast cryptocurrency market trends may be helpful to Financial Planners as they develop and implement financial plans for clients.

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Economist

Economists may use the skills learned in this course to analyze and forecast cryptocurrency markets. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Economists as they study and make predictions about economic trends.

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Investment Analyst

Investment Analysts may use the skills learned in this course to analyze and evaluate cryptocurrency investments. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Investment Analysts as they make recommendations to investors.

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Business Analyst

Business Analysts may use the skills learned in this course to analyze and forecast cryptocurrency market trends. The ability to forecast cryptocurrency prices using machine learning algorithms may be helpful to Business Analysts as they make recommendations to businesses on cryptocurrency-related decisions.

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