π’ Excited to share our first episode on the importance of #OpenScience! Today Shrabastee Banerjee one of our core members explains how sharing your work as soon as it's ready can enhance accessibility and foster collaboration.
#Research#Accessibility#DataScience#Innovation
π Dive into our guide on installing #Docker and discover how it enhances replicability and portability across any platform. Our step-by-step tutorial at is perfect for anyone looking to streamline their development process today! π https://t.co/WkojSH3z7S
#DevTools#TechTips
Every Monday, we start the week with our signature WOW meeting, where our team gathers to share updates, progress, ideas & insights on the projects we've been working on. π We share with you a snapshot of some of the faces working behind our platform!π
#OpenScience#DataScience
π Meet Hannes Datta, one of the Co-Founders of Tilburg Science Hub!π Our mission? Supporting students and researchers implement #OpenScience in their work! Dive into our tutorials, tools & more at https://t.co/TTCFLkj9TZ ππ
#DataScience#DataAnalysis#RProgramming
π Our new Research Assistant Lisa Holling published her first article on machine learning! From understanding the basics to setting up your own project.π‘π Make sure to check out the guide on the link below:
https://t.co/pFwsNzEf71
The growth of #AI can be used at our advantage when it comes to research purposes! πΎ Explore our latest article to see how #ChatGPT is transforming the way we approach academia. Click the link to learn more!
https://t.co/gcELJqauC2
#Research#DataScience#OpenScience
Ready to level up your data skills? π Dive into our 12-minute tutorial on Time Series Data Visualization using ggplot2 in R! Perfect for students and researchers alike! ππ»
#DataVisualization#TimeSeries#ggplot2#DataSkills#TilburgScienceHub
https://t.co/KgsgUDRpmn
This March, we're proud to celebrate the incredible women in our team! Meet Valerie, one of our dedicated members who joined us a year ago. π
Read the interview on:
https://t.co/6R6jL7iQ7q
#WomenInSTEM#TilburgScienceHub#MarchCelebrations
In February, we welcomed new Research Assistants to our team of young talents! π Excited to collaborate and innovate together.
#OpenScience#TilburgScienceHub#MeetOurTeam
To celebrate #internationalwomensday we are excited to shine a spotlight on some of the amazing women in our Tilburg Science Hub team! Today we are asking some questions to one of our core contributors @Shrabastee_B π Click here to read:
https://t.co/aTHskl1fnd
#IWD2024#IWD24
Learn how #InstrumentalVariables can be used to solve confounding problems in regression analysis. Explore the concept and practical application with the ivreg() function in R.
Check out our article: https://t.co/ASbZ0AE5Fm
#OpenScience#RegressionAnalysis#RProgramming
π Excited to start your thesis journey? π Dive into Tilburg Science Hub's comprehensive guide tailored for students! From defining your research question to mastering essential skills, we've got you covered every step of the way.
https://t.co/9kZfcKSIIu π
Explore XGBoost - a revolutionary ML model that conquers big and complex datasets. Learn XGBoost with R through our step-by-step guide using a real dataset.
Click the link to discover more: https://t.co/kyRmJKsMH1
#XGBoost#DataScience#MachineLearning#AI#BigData
Learn web scraping with Music To Scrape! Our website, inspired by @zytedata, offers a safe and legal environment to learn this skill, without the complications of real websites. Explore diverse music data, identify trends, and enhance your coding skills: https://t.co/cNzTzib23W
Regression Interpretation in R: The key to data-driven decisions. Explore the nuances of single-variable and multivariable models with real-world data.
Gain the skills to predict outcomes and analyze results effectively: https://t.co/bRVSmsWCBU
#RProgramming#DataAnalysis
Curious about integrating AI into your command line/terminal? Explore the Open Interpreter projectβa tool enabling large language models to run code locally.
Learn with practical examples and the possible privacy concerns and get installation guidance: https://t.co/dr8RZKic89
Discover the potential of analyzing causal effects with Difference-in-Differences and regression analysis. Explore our articles to delve deeper:
https://t.co/hOs9VTZ7ln, https://t.co/0X4ZB95hnC &
https://t.co/YVuhNa6A7E
#DifferenceInDifferences#RegressionAnalysis#RProgramming