Data Wrangling Techniques in Julia - Part 1 | Tom Kwong

As a data scientist, it is super important to sharpen your skills and learn to use the tools effectively. This video series focuses on bringing you up to speed about the data wrangling workflow, the Julia data ecosystem, and related tools, and an overview of DataFrames.jl functions and available resources. Quick links 02:50 What is data wrangling? 04:37 Julia’s data ecosystem 08:28 Data wrangling workflow: Read 10:12 Data wrangling workflow: Clean 12:45 Data wrangling workflow: Tidy 19:49 Data wrangling workflow: Analyze 30:24 Data wrangling workflow: Visualize 32:15 DataFrames.jl resources 36:36 Wrapping up Want to learn more? The next video will be totally hands-on, and it can be found at https://www.youtube.com/watch?v=NbqQZq42gLc 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/YouTubeVideoTimestamps Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/YouTubeVideoSubtitles