πŸ€“ Best Productivity Tips in R for Data Analysts and Scientists

From the creator

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! πŸ€— πŸ’» 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 πŸ‘‰https://bit.ly/3AuAhXk πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© 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. πŸ”‘ 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

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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