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Abhishek Jha
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...
Read more
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...
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/y8oxr5/cryptocurrency
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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
Save this course
Save Cryptocurrency Forecasting using Machine Learning in PowerBI to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Cryptocurrency Forecasting using Machine Learning in PowerBI with these
activities:
Create a resource list for cryptocurrency forecasting
Show steps
Provides easy access to relevant materials and saves time spent searching.
Show steps
-
Gather articles, websites, videos, and whitepapers related to cryptocurrency forecasting.
-
Organize the resources by topic or relevance.
-
Create a document or online resource that lists and briefly describes the resources.
Review statistical techniques
Show steps
Refreshes knowledge of statistical concepts used in forecasting, including ARIMA and regression.
Browse courses on
Statistical Techniques
Show steps
-
Review online materials or textbooks on statistical techniques.
-
Focus on methods relevant to cryptocurrency forecasting, such as regression and time series analysis.
-
Complete practice problems or exercises to test understanding.
Explore Power BI tutorials
Show steps
Introduces Power BI tools for use in forecasting cryptocurrency prices.
Browse courses on
Power BI
Show steps
-
Watch Power BI beginner tutorials on YouTube or the Microsoft website.
-
Access online documentation and demos for Power BI.
-
Practice importing data, creating visuals, and performing analysis in Power BI.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond'
Show steps
Provides understanding of cryptocurrency fundamentals, including Bitcoin, for forecasting.
View
Cryptoassets: The Innovative Investor's Guide...
on Amazon
Show steps
-
Read the chapters on Bitcoin and cryptocurrency basics.
-
Review the sections on forecasting methods used for cryptocurrencies.
-
Consider applying the described techniques to the forecasting project.
Practice data visualization using Power BI
Show steps
Improves data visualization skills and knowledge of various chart types used in cryptocurrency forecasting.
Browse courses on
Data Visualization
Show steps
-
Open sample datasets in Power BI and create different chart types.
-
Experiment with formatting and customizing charts to enhance visual appeal.
-
Analyze real-world cryptocurrency data by creating your visualizations.
Attend online meetups or conferences on cryptocurrency forecasting
Show steps
Facilitates interaction with professionals in the field and exposure to different perspectives.
Browse courses on
Networking
Show steps
-
Search for online events related to cryptocurrency forecasting.
-
Register and attend the events.
-
Engage in discussions, ask questions, and network with others.
Create a dashboard for forecasting cryptocurrency prices
Show steps
Develops practical skills in implementing forecasting methods within Power BI.
Show steps
-
Collect historical cryptocurrency data using provided API or other sources.
-
Create visualizations to display historical price and volume trends.
-
Implement forecasting algorithms (ARIMA, Neural Networks, Linear Regression) using Power BI.
-
Automate the dashboard to allow forecasting for different cryptocurrencies.
Create a resource list for cryptocurrency forecasting
Show steps
Provides easy access to relevant materials and saves time spent searching.
Show steps
Show steps
Show steps
- Gather articles, websites, videos, and whitepapers related to cryptocurrency forecasting.
- Organize the resources by topic or relevance.
- Create a document or online resource that lists and briefly describes the resources.
Review statistical techniques
Show steps
Refreshes knowledge of statistical concepts used in forecasting, including ARIMA and regression.
Browse courses on
Statistical Techniques
Show steps
Show steps
Show steps
- Review online materials or textbooks on statistical techniques.
- Focus on methods relevant to cryptocurrency forecasting, such as regression and time series analysis.
- Complete practice problems or exercises to test understanding.
Explore Power BI tutorials
Show steps
Introduces Power BI tools for use in forecasting cryptocurrency prices.
Browse courses on
Power BI
Show steps
Show steps
Show steps
- Watch Power BI beginner tutorials on YouTube or the Microsoft website.
- Access online documentation and demos for Power BI.
- Practice importing data, creating visuals, and performing analysis in Power BI.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond'
Show steps
Provides understanding of cryptocurrency fundamentals, including Bitcoin, for forecasting.
View
Cryptoassets: The Innovative Investor's Guide...
on Amazon
Show steps
Show steps
Show steps
- Read the chapters on Bitcoin and cryptocurrency basics.
- Review the sections on forecasting methods used for cryptocurrencies.
- Consider applying the described techniques to the forecasting project.
Practice data visualization using Power BI
Show steps
Improves data visualization skills and knowledge of various chart types used in cryptocurrency forecasting.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Open sample datasets in Power BI and create different chart types.
- Experiment with formatting and customizing charts to enhance visual appeal.
- Analyze real-world cryptocurrency data by creating your visualizations.
Attend online meetups or conferences on cryptocurrency forecasting
Show steps
Facilitates interaction with professionals in the field and exposure to different perspectives.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Search for online events related to cryptocurrency forecasting.
- Register and attend the events.
- Engage in discussions, ask questions, and network with others.
Create a dashboard for forecasting cryptocurrency prices
Show steps
Develops practical skills in implementing forecasting methods within Power BI.
Show steps
Show steps
Show steps
- Collect historical cryptocurrency data using provided API or other sources.
- Create visualizations to display historical price and volume trends.
- Implement forecasting algorithms (ARIMA, Neural Networks, Linear Regression) using Power BI.
- Automate the dashboard to allow forecasting for different cryptocurrencies.
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 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.
Data Scientist
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.
Financial Analyst
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.
Quantitative Analyst
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.
Risk Manager
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.
Trader
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.
Investment Banker
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.
Portfolio Manager
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.
Consultant
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.
Software Engineer
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.
Researcher
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.
Financial Planner
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.
Economist
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.
Investment Analyst
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.
Business Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/y8oxr5/cryptocurrency
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Cryptocurrency Forecasting using Machine Learning in PowerBI.
Provides a comprehensive overview of the cryptocurrency landscape, including the history, technology, and investment strategies for various cryptoassets. Useful for gaining a foundational understanding of the subject.
Covers machine learning techniques and their application in financial markets. Provides insights into using machine learning for cryptocurrency forecasting.
Save
Provides a comprehensive overview of predictive analytics and its applications in various industries. Useful for understanding the concepts and methods used for cryptocurrency forecasting.
Covers data visualization techniques using Python and JavaScript. Useful for enhancing the visual presentation of cryptocurrency forecasting results.
Save
A technical deep-dive into the Bitcoin protocol and its underlying technology. Recommended for those interested in the inner workings of Bitcoin and blockchain technology.
A comprehensive guide to advanced Power BI development techniques. Recommended for those who want to extend their skills beyond the basics covered in the course.
A classic investment guide that provides principles and strategies for long-term investing. Useful for understanding investment fundamentals and applying them to cryptocurrency markets.
Provides a thorough introduction to Python for data analysis. Recommended for those who want to learn the programming language used for data preparation and analysis in the course.
An official Microsoft guide to Power BI. Useful as a reference for understanding the fundamentals and best practices of Power BI.
An introductory guide to machine learning concepts and algorithms. Recommended for beginners who want to gain a foundational understanding before diving into cryptocurrency forecasting.
An introductory guide to using Power BI for data visualization and analysis. Useful for understanding the specific Power BI tools and features used in the course.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/y8oxr5/cryptocurrency
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Abhishek Jha
Good to know
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
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