The course will allow you to create your own customized interactive data visualization and make your data exploration and communication so much easier. About This Book * The best resource to learn the art of interactive data visualization with real-world data and furthers your career in the data-driven business. *A step-by-step tutorial for different types of data visualization techniques for different data sources/tasks. *We'll not only cover the topics of interactive data visualization but also where and when to apply those techniques, but how they fit into the grand plan of data analysis and data science. Who This Book Is For Data scientists, data analysts, or anyone who wishes to sharpen his data exploration skills, know everything there is to know about interactive data visualization in Python, and most importantly, make his storytelling more intuitive and persuasive, will have come to the right decision by joining this course. What You Will Learn * Use non-interactive as well as interactive visualization libraries to draw various types of plots, such as scatter plot, confusion matrix, and so on. *Learn visualization principles, relationship, between visualization and other components in data science development life cycle. *Use interactive data visualization techniques to conduct outlier detection and other preliminary data exploration tasks. *Integrate data visualization with model performance enhancement, in other words, find out how to improve model accuracy with help of different data visualization techniques. *Learn how to tailor data visualization for different audiences and make for better storytelling. In Detail Anyone who wishes to sharpen his data exploration skills, know everything there is to know about interactive data visualization in Python, and most importantly, make his storytelling more intuitive and persuasive, will have come to the right decision by joining this course. This course will be a boost for your career in the data-driven business by helping you learn different types of data visualization techniques for different data sources/tasks. It will help you draw correct and meaningful insights and the communicate critical findings with your colleagues, managers, and potential clients. You'll develop proficiency in Python data visualization libraries (Seaborn, Bokeh, Plotly, and Tensorboard) as you make use of the techniques you obtain on challenging real-life datasets. Once you are through with the entire course, you will be able to distinguish yourself from other data scientists with help of your newly gained ability to communicate interactively and effectively with modern day data.