🤓 Best Productivity Tips in R for Data Analysts and Scientists
Hi data analysts and scientists! This is the first video of the programming series for data analysis on my channel, where I make tutorials and share tips and tricks for working in R and Python for data analysis. In today's video, I'm going to share with you the best practices and most important tips for data analysis in R that I've learned in the past 5 years. Check out the timestamp below. Hope you enjoy it! 🤗 💻 Link to a nice comparison of data.table vs dplyr (one of the main packages used in Tidyverse) https://atrebas.github.io/post/2019-03-03-datatable-dplyr/ My Medium article about data wrangling with data.table 👉https://bit.ly/3AuAhXk 👩🏻💻 COURSES & RESOURCES ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ 📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6 📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ 📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy 📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN 📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR 📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0 📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj 📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv 🙋🏻♀️ LET'S CONNECT! ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🤓 Join my Discord server: https://discord.gg/SK7ZC5XhcS 📩 Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb ================================ As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on some of the links above. It costs you nothing but helps me with content creation. 🔑 TIMESTAMPS ================================ 0:00 - Intro 0:24 - Pro tip #1: Using R projects for better workflow 2:27 - Pro tip #2: Structuring analysis folder 4:26 - Pro tip #3: Base R vs Tidyverse vs data.table: What to use? 6:33 - Pro tip #4: Debugging code in R studio 9:56 - Outro #ThuVu #Datanerd #DataAnalysis #CoffeeData #DataScience #dataanalytics #Rprogramming
