Learn why organizations are looking to use cloud services more widely for data science, and how RStudio products can help. https://t.co/cCS7AVkk3e #DataScience #RStats #PyData #SeriousDataScience

3 Wild-Caught R and Python Applications @cdhowe recently asked folks for examples of R interoperability “in the wild", specifically examples of mixed R and Python applications. Check these out here https://t.co/eW1RTrD3dS #SeriousDataScience #DataScience

Do you still run into folks who claim that you can't run R in production apps? Well the State of California just made their COVID-19 data available to the public in a Shiny app with interactive visualizations. https://t.co/YoUHf361Nn #SeriousDataScience #rstats

R vs. Python? Wrong question. Learn how to leverage both languages in our upcoming webinar with @LanderAnalytics, on Aug 26th at 11am ET. Register now https://t.co/tCXowCpnuB #seriousdatascience

Encouraging & supporting interoperability, where it creates value for your org, is one of the key challenges of managing any data science team. Lou Bajuk & Carl Howe on Interoperability: Getting the Most Out of Your Analytic Investments https://t.co/KkzY6xm9GW #SeriousDataScience

BI and Data Science: Matching Approaches to Applications We at RStudio promote open source & code-based data science, but there are many reasons why you will rely on self-service tools. This post gives guidance on when to use each https://t.co/2VZYZB3zib #SeriousDataScience

We had a great discussion at our "Building Effective Data Science Teams" panel. We've collected the 2nd set of Q&As Topics include; building your first team, structuring more mature teams, hiring, & ICs transitioning into leadership. https://t.co/LbjjumFcD0 #seriousdatascience

Why RStudio Focuses on Code-Based Data Science Highlights from a recent interview of RStudio's Lou Bajuk discussing data science with #RStats and #PyData, & why RStudio encourages its customers to adopt a multi-lingual approach. https://t.co/3v3gNtilgj #seriousDataScience

Sometimes two very different things unexpectedly go well together--like #rstats & #Python @rstudio is dedicated to two key ideas: that it’s better for everyone if the tools used for #datascience are free and open, and that we love & support coding to tackle #SeriousDataScience.

Using RStudio to Amplify Digital Marketing Results Learn how @ixpantia & @Extendocompany are able to deliver more than just the basic descriptive analysis of marketing platform dashboards, offering predictive insights based on #SeriousDataScience. https://t.co/ucNtKmnGeg

An executive’s view of #SeriousDataScience Art Steinmetz, former Chairman, CEO, & President of OppenheimerFunds, shares his perspective on the value of open source, code-first for an enterprise. 🎥 https://t.co/mOiMxTwOHT

As a Manager, Advisor, or data scientist, I would like to hear which product you would push for?! #seriousdatascience #rstudio #rstats #tidytuesday #machinelearning #deeplearning #towardsai #makeanalyticswork #businessintelligence #code #programming #visualization

Debunking R and Python Myths: Answering Your Questions Use the tools that let you be most productive in the shortest amount of time. https://t.co/VJHEUq1siQ #SeriousDataScience

BI and Open Source Data Science: Strengths and Challenges Join @loubajuk as he dives into the strengths and challenges of self-service BI tools, recommending specific approaches and points of integration to consider. https://t.co/dIG0qXcMWW #SeriousDataScience

Strategic Analytics at Monash University: How RStudio Accelerated the Transformation. @MonashUni shares their journey from simple reporting to using analytics to support strategic decision making, based on code-first data science. https://t.co/KUIkNQ1H0h #seriousdatascience

Setting Up Secure Systems for Growth. Join the next RStudio Enterprise Community Meetup. @gshotwell talks about creating create a secure data analytics environment for your team. 📆 Wednesday, September 8, 2021, at Noon ET Sign up at https://t.co/ZxfcNK9Uz4 #SeriousDataScience

Good Data Science is a journey that takes you over unforeseeable paths. Here are our top 5 reasons you should be using a world-class IDE to arrive at your destination. https://t.co/0ghr9PJhfJ #SeriousDataScience #rstats

Five reasons you need a world-class IDE to do #DataScience (1/n) 1. Data Science Is Iterative. IDEs support iterative development. 2. Your Business Has Unique Challenges. IDEs enable you to freely ask and answer questions. #RStats #Python #SeriousDataScience

3 Ways to Expand Your Data Science Compute Resources Data science teams should embrace server-based data science development, to avoid the limitations of laptops. Learn more at https://t.co/4lfJK96hKs #SeriousDataScience

The R in insuRance meetup has been rescheduled for April 21 (previously April 14th). We hope you are able to join this talk on operationalizing algorithms using Shiny and Flask Learn more and sign up at https://t.co/XdDriTknyL #rstats #DataScience #seriousdatascience