Data Visualization with Python - Plotly & Dash
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You will learn how to create awesome dashboards using Plotly and Dash. The result will be a multipage interactive dashboard to help you monitor a stocks portfolio. The main goal is to give you the right tools to help you build any dashboard you need, or simply adapt existing ones! No coding experience is required. This is an end-to-end project. This means I will guide you through all the steps and show you how you can adapt the code to your own needs. Below you can find a high-level summary of what we will cover in over 4 hours of content: Data Preparation and ScrapingGet started with the course materialsRead csv files and transform them into dataframes and dictionariesUse a set of custom functions to scrape stocks information from multiple sources and store itUse a special script to gain additional insights about your portfolio (works with Stocks, Crypto, ETF's, etc), including average costs of your positionsPlotlyQuickly start using Plotly ExpressUnderstand how Plotly Graph Objects can help you customize your graphsCreate any type of chart to tell your story, with your own dataCustomize your graphs with very few lines of codeLearn how to explore the documentation to find what you needDashCreate your first Dash appOrganize the dashboard elements inside the appUse Bootstrap themes to customize the app styleCreate a Sidebar with navigation buttonsCreate a dashboard with multiple pagesExplore Dash documentation and pick examples to adapt to your projectsYou will be able toCreate a professional dashboard from scratch with just a few basic inputsKeep track of your own portfolio performance, if you own one! Retire your old Excel dashboards and explore new possibilities with Plotly and DashAnd much more: background colors, dark themes, multiple callbacks, multiple outputs, graph height and width, rows and columns, dash layout, bootstrap components, plotly express, plotly graph objects, dropdowns, custom labels, html components, plotly indicators, candlestick graphs, scatter plots, bar charts...