Top Tweets for #seriousDataScience
My Excel and R Journey in Financial Services - RStudio Blog
Pritam Dalal (Customer Success at RStudio) shares his perspective on the pros & cons of Excel vs. code-first data science, based on obs from his career in financial services.
https://t.co/X1GGmPdNqK
#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
A CEO’s View of Open Source Data Science in the Enterprise
We recently sat down with @adababbage, former CEO of OppenheimerFunds, to get his perspective on the value & viability of code-first, open source data science for the enterprise
https://t.co/hFTLURyVqQ
#SeriousDataScience
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
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
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
Hay aspectos de analitica que son más fáciles de hacer usando código. Además de poder reutilizar esfuerzos y tener resultados reproducibles, nos permite usar un sistema de configuración de proyectos. Por ejemplo trabajar con tiquetes. #SeriousDataScience https://t.co/gBWbWXWlXz
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
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
We're talking about Operationalizing Algorithms using Shiny and Flask at the next #RStudio Enterprise Meetup.
Learn about real-life examples of how one can rapidly operationalize intricate algorithms.
Register now at https://t.co/kd0L5VDXjI
#DataScience #RStats
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
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
Very proud to announce that CROPLAND is now part of the @rstudio, PBC Full Service Partner Program. Click here for more information https://t.co/IqYGuvRlXi
#cropland #R #datadrivendecisions #seriousdatascience
Why does @rstudio focus on #rstats/#python code-based #DataScience? Because it's #SeriousDataScience.
- Build your analyses with code, not clicks.
- Manage data science environments for reproducibility.
- Deploy interactive applications to keep insights up to date
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
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
Looking forward to this webinar tomorrow. Learn how to deploy #RStats APIs with Plumber. #SeriousDataScience
The {plumber} Webinar is Live Tomorrow - Register Now!
Learn why deploying your #RStats models, data, & other data science output to web APIs can improve your data science workflows.
Live OCT 28, 1-2pm Eastern
Register at: https://t.co/13CBZN7WNY
Need help justifying the purchase of RStudio's commercial products? Check out the new Forrester Wave™: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020 report; RStudio is rated a strong performer. https://t.co/Qu7PKWWZyS #rstats #SeriousDataScience
Feeling uncertain about 2021 budgets for your data science team? Here are 3 new resources to help them boost their DS skills and make them more indispensible.
https://t.co/hKkoKbTBSI
#rstats #SeriousDataScience
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
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
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