Data Science: Bitcoin Data Visualization & Price Prediction
$19.99
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Description

On 16th March 2020, Bitcoin was $5000. Today, Just 1 year later, Bitcoin was trading over $60,000 during its peak which is more than 1200% return in just 1 year. Just Imagine, if you had invested in Bitcoin 1 year ago, you would have multiplied your wealth by 12 times. Missed it? Well, that was past. Now let's talk about the FUTURE. What if we knew what the Price of Bitcoin could be 30 days from now?What if there was a way to predict the price of Bitcoin a few weeks into the future?With the advancement in Machine Learning and Time-series Forecasting, we can actually predict the price of Bitcoin or any other cryptocurrency or perhaps even your favourite stocks like TSLA, AAPL, AMZN, GOOG with fairly good accuracy. So, Would you like to learn to build a Facebook Prophet Machine Learning Model inorder to Forecast the Price of Bitcoin 30 days into the future?Would you like to learn to Visualize the entire market of Cryptocurrencies in order to find hidden patterns?Would you like to trade Cryptocurrencies like Bitcoin but don't know where to start?If the answer to any of the questions is YES then this course is for you. This is a Practical, Hands-on, Guided Course where you will be writing the codes alongside the lectures and Visualizing Cryptocurrencies using Plotly Express and Predicting the price of Bitcoin 30 days into the Future using Facebook Prophet Time-series Machine Learning Algorithm. Let AI (not gurus) tell you which coin to buy and which not to buy. Explore the Entire Cryptocurrency market and learn to Visualize and Forecast the Price of Bitcoin. Learn to use AI & Data science to decide What to buy (using Data Visualization) and when to buy (Machine learning Forecasting). This is the only course in Bitcoin and Cryptocurrency that you need. In the next 2 hours, learn practical real-life data visualization and Machine learning skills and Forecast the Price of Bitcoin 30 days into the future. Learn to make forecasts using Facebook ProphetLearn to find patterns using Data Visualization with Plotly Express with just 1 line of CodeLearn to create Machine learning Time-series ModelNew to Python? No problem. This course is beginner-friendly. You will learn everything you need to know. I will guide you through every single line of code and every single step. No extra software needed. You just need a reliable Internet connection and you are good to go. What will you learn?Importing all the necessary libraries including Facebook Prophet for Forecasting and Plotly Express for Data VisualizationImporting the Dataset and Exploring itVisualizing the 5 years Historical Performance of 12 Major Cryptocurrencies using Box plot, Pie Chart & Violin plotComparing all the major Cryptocurrencies using Scatter PlotsBitcoin Data Visualization - Visualizing historical Volume & Price using Area graph, Line Graph, Violin ChartBitcoin Financial Data Visualization- creating a Candlestick chartIntroduction to Facebook Prophet- Everything you need to knowData PreparationFacebook Prophet Time-series Model CreationForecasting the Price of Bitcoin 30 days into the futureDownloading the Forecast Data for Proper evaluationExtracting the Actual Price of Bitcoin using Google Finance within Google SheetsComparing the Forecast Price against the Actual Price of BitcoinWe will be using 5-year Historical Data (Daily Price & Volume) of 12 Major Cryptocurrencies that represents well over 95% of the Cryptocurrency Market: Bitcoin, Litecoin, Ethereum, Ripple, Dash, Tether, Tron, Stellar, Bitcoin Cash, Binance coin, Cardano & Chainlink. So What are you waiting for?Grab a Coffee, Open your Laptop and click on the Enroll Now button and get this course right now. P. S: Although this course deals in Cryptocurrencies and teaches you to Forecast the Price of Bitcoin, it should be noted that this course is for educational purposes only and is not a piece of Financial Advice. Our goal as Instructors is to provide you with skill so that you can make an informed decision. All the best and Happy Learning.

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