Course Description

Datavis 2020: Exploring Data Visualization Techniques Data visualization is an essential aspect of modern-day data science, and in Datavis 2020, you'll learn the fundamentals of data visualization and explore various techniques to present data effectively. In this course, you'll learn how to create compelling visualizations that communicate complex data in a way that's easy to understand. The course begins with an introduction to data visualization, where you'll learn about the importance of data visualization in various fields, including business, healthcare, and finance. You'll also learn about the different types of visualizations, including bar charts, scatter plots, and heat maps, and when to use each type. Next, the course will delve into the principles of effective data visualization. You'll learn about color theory, chart design, and the best practices for creating effective visualizations. You'll also learn about the importance of storytelling in data visualization and how to create a narrative that engages your audience. After mastering the basics of data visualization, the course will take a deeper dive into advanced techniques. You'll learn about data wrangling and how to transform raw data into meaningful visualizations. You'll also learn about machine learning techniques that can be used to create predictive visualizations. Throughout the course, you'll have the opportunity to work with real-world datasets and create visualizations using industry-standard tools, such as Tableau and D3.js. You'll also work on group projects, where you'll collaborate with other students to create data visualizations that address real-world problems. By the end of the course, you'll have a deep understanding of data visualization techniques and the ability to create compelling visualizations that tell a story. You'll also have the skills to work with data in a meaningful way, making you a valuable asset to any team working with data. Datavis 2020 is ideal for anyone looking to gain a deeper understanding of data visualization techniques, including data scientists, analysts, and business professionals. Whether you're just starting out or looking to expand your skillset, this course will provide you with the knowledge and tools you need to succeed in the world of data visualization. Author: Curran Kelleher