Use the Julia Programming Language for Data Analysis and Data Visualization. Start by installing and configuring VS Code as well as the Julia Extension for VS Code. Add Julia Packages to enhance your experiences -- specifically VegaDatasets, DataVoyager and VegaLite. Learn the difference between Raster Graphics and Vector Graphics. Generate and save a high-quality plot that is suitable for presentations. Schedule: New tutorials are posted on Sundays. Prerequisite: Students must be familiar with Julia syntax and semantics. 00:00 Intro 00:41 Motivation 05:58 Install VS Code 18:46 Iris Flower Data Set Link to GitHub Repository for this tutorial: https://github.com/julia4ta/tutorials/tree/master/Series%2002/Tutorial%2002x01 Links to Videos: Julia for Beginners Playlist: https://www.youtube.com/watch?v=0oChN11wf_4 David Anthoff | Intro to the Queryverse, a Julia data science stack: https://www.youtube.com/watch?v=OFPNph-WxLM Huda Nassar | Julia for Data Science: https://juliaacademy.com/p/julia-for-data-science Bogumił Kamiński | Introduction to DataFrames.jl (v0.22) https://juliaacademy.com/p/introduction-to-dataframes-jl1 Links to Packages: VegaDatasets: https://github.com/queryverse/VegaDatasets.jl DataVoyager: https://github.com/queryverse/DataVoyager.jl VegaLite: https://github.com/queryverse/VegaLite.jl Links to the Programming Environment: The Julia Programming Language (free): https://julialang.org/ Microsoft Visual Studio Code (free): https://code.visualstudio.com/ Notice of Non-Affiliation and Disclaimer: I am not affiliated, associated, authorized, endorsed by, or in any way officially connected with The Julia Programming Language, Julia Academy, Julia Computing or Microsoft, or any of their subsidiaries or their affiliates. All marks, emblems and images are registered trademarks of their respective owners. Use of them does not imply any affiliation with or endorsement by them.