Category: R

Celebrating a Decade of EARL: Join us in Brighton, UK for EARL 2024!

See the full agenda and book your tickets today for EARL 2024 and key in RBTBZO at the checkout for a limited (while stocks last) 10% saving on your tickets as a special for R bloggers readers.


The Enterprise Applications of the R Language (EARL) Conference is a cross-sector tech conference focusing on the commercial use of the R programming language. Join us on 3rd – 5th September 2024 in Brighton for its 10th year as we hear from some of the world’s leading practitioners, consultants and industry experts in R, Python and data science.

Yes, you read that correctly! EARL has long been a cornerstone for professionals across industries who leverage R for real-world data challenges, but this year, we’re expanding our horizons by integrating Python. This convergence promises a more comprehensive view of modern data science, bridging statistical expertise with advanced computational capabilities.

New city, new languages – and new hosts too, with Brighton based data and analytics consultancy Datacove and Brighton’s tech sector hosts, Silicon Brighton taking over from the wonderful team at Ascent who have made EARL the event it is today.

As if that wasn’t enough to get you excited, our line-up of speakers includes the one and only Hadley Wickham! Joining him are Christel Swift from the BBC, Steph Locke from Microsoft, and renowned statistician and author Andy Field from the University of Sussex, each offering their unique insights on the industry today – and where we are headed tomorrow!

The conference agenda spans three days of workshops, keynotes, and talks featuring 40+ speakers from a diverse range of diverse and markets. It’s an unparalleled opportunity to learn, network, and engage with leading minds in both R and Python.

EARL 2024 wouldn’t be possible without the generous support of sponsors Posit, Ascent, and the R Consortium – and maybe you too! If you would like to showcase your brand in front of more than 200 of the world’s leading tech professionals, there are still sponsorship and advertising opportunities available. More details can be found on the EARL website, below.

We are excited to bring EARL 2024 to Brighton, a vibrant hub of culture, technology and innovation, and can’t wait to welcome you to what promises to be the most dynamic conference yet. Join us at The Grand Hotel, an elegant and historic venue located on the city’s picturesque seafront, blending classic charm with modern comforts. You’ll be treated to a delicious buffet lunch on both days of the conference, prepared by some of the city’s finest chefs – with tea and coffee also available throughout. Then cross the road for a memorable evening event at the British Airways i360, with stunning panoramic views of the city and coastline from the world’s tallest moving observation tower.

See the full agenda and book your tickets today for EARL 2024 and key in RBTBZO at the checkout for a limited (while stocks last) 10% saving on your tickets as a special for R bloggers readers.

See you in Brighton!

Academic and Personal Website Creation: A Quarto Tutorial workshop

Join our workshop on Academic and Personal Website Creation: A Quarto Tutorial, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Academic and Personal Website Creation: A Quarto Tutorial

Date: Thursday, July 18th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Brier Gallihugh is an incoming fifth year doctoral candidate in social psychology at Ohio University. Broadly speaking, research interests involve prejudice and discrimination of minoritized groups. An advocate for all things open science and statistical, Brier spends countless time inside of RStudio and using R for statistical analyses and document/manuscript generation. Post PhD (likely Spring 2025), Brier hopes to gain employment as either a data analyst or data scientist.

Description: In the digital world having an online presence is at worst a strong suggestion and at best a firm requirement for anyone who wishes to advertise what they do. This is true both in academic circles (i.e., lab websites) and industry circles (i.e., portfolios) alike. However, creating websites can often require a vast knowledge in CSS and HTML coding in order to put together a professional product. Thankfully this is where Quarto comes in handy. This workshop will show participants how to get going quickly on creating and hosting a website for professional or personal use tailored to each participants individual needs using Quarto. Participants will need to have the latest versions of both R and RStudio installed prior to the workshop. Further, a GitHub and Netlify account (used to host the website) is also advised.


Minimal registration fee: 20 euro (or 20 USD or 800 UAH)


How can I register?



  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?


  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!




Get Hired Faster with a DataCamp Certification

Turn online learning into career-advancing Certifications on DataCamp.

Are you looking to kickstart your data career without breaking the bank?

This article is for you.

DataCamp is a world-leading data and AI education platform. It’s known for its interactive learning and extensive collaboration with industry experts to prepare learners for the data-driven workforce.

What are DataCamp Certifications?

Ranked the #1 data certification by Forbes, DataCamp Certifications offer a direct path for turning online learning into a successful data career.

Positioned as the final piece of their tailored learning paths, Certifications sit at the end of their ‘Career Tracks’. In many cases, you start from scratch and build your way up to gaining an industry-leading certification in your chosen field.

Or, you can dive straight into a Certification if you have pre-existing knowledge. There’s no blocker on which certification you can take or how many you are allowed to complete.

If you’re starting, pivoting, or accelerating your career, Certifications are a fast route into in-demand data roles. No longer are these roles kept behind University Degrees and expensive qualifications, you can learn and prove job-ready skills all on DataCamp.

What Certifications are on offer?

DataCamp Certifications have been created in collaboration with industry experts and hiring managers. They reflect the most sought-after roles and the rigorous exam process ensures all certified learners are job-ready for that specific role.

Here’s a peek at what DataCamp offers. For the full list, head to their Certification Hub.

Career Certifications

Designed to show you’re 100% job-ready, career certifications test the skills you need to get your first data role.

  • Data Analyst
    Showcase your ability to answer business-critical questions, effectively visualize data, and communicate insights.

  • Data Scientist
    Demonstrate that you can collect, analyze, and interpret large amounts of data using machine learning and AI.

  • Data Engineer
    Show you can make data usable and valuable for others by collecting, processing, and publishing large datasets.

Technology Certifications

Aimed at individuals working with data in any role, our technology certifications show that you can use specific technologies to work with data.

  • SQL Associate Certification
    Demonstrate that you are capable of using SQL to extract appropriate data from a database, and use it to answer common data questions.

  • Exam PL-300: Microsoft Power BI Data Analyst
    Created in partnership with Microsoft, the PL-300 exam tests all core Power BI skills. You get a 50% discount on the official certification through Microsoft and DataCamp.

Fundamentals Certification

Perfect if you’re just getting started and want to boost your CV. Fundamentals Certifications demonstrate you have the core skills to make data-driven decisions and enhance your productivity with AI.

  • AI Fundamentals
    For individuals new to AI or seeking to enhance their knowledge. It covers essential AI concepts including the difference between different AI domains and understanding Generative AI ethics.

  • Data Literacy
    A great place to start if you’re new to data! Show you know about different types of data and common analytic techniques. You will also demonstrate you can interpret a visualization and obtain vital information.

How do I start?

Anyone with a free DataCamp account can access the first chapter of each course. So, before spending anything, you can test the platform and see if it’s the right fit for you.

After that, DataCamp offers a single Premium subscription which offers unlimited access to all learning materials; including all courses, certifications, projects, and more.


All certifications are graded in partnership with industry experts through a series of timed and practical tests. More advanced certifications offer a window to complete all tasks, while fundamental options can be taken there and then.

Unsure about your level? No problem. Take a five-minute self-assessment to determine the best fit and learning plan for you.

Once you’re certified, you’ll get access to DataCamp’s exclusive certification community. You’ll be able to connect with other certified professionals and explore content curated just for you by our community team.

Your DataCamp subscription can be paid monthly or yearly to fit all budgets.

Build skills. Get hired.
Discover more.

Free Report: DataCamp’s The State of Data & AI Literacy Report 2024

Free Report: DataCamp’s The State of Data & AI Literacy Report 2024

DataCamp has commissioned a free report surveying 550+ business leaders on the rising demand for data and AI skills. Download now to uncover which skills employers are hiring for in the era of generative AI.

Keep reading for a peek at the report’s key findings or download it for free now.

Demand for data and AI skills is rising. What skills should you prioritize to make you more employable?

DataCamp’s report explores the skills landscape for some of the world’s leading organizations, focusing on the skills leaders value most and their current skills gaps.

Spoiler: data and AI rank high across the board.

Specifically, 86% of leaders believe data literacy is now vital for day-to-day tasks and 72% are prepared to pay a salary premium for employees with data literacy skills.

Going deeper, DataCamp sought to understand which specific data and AI skills leaders are looking for in their teams, uncovering:

  • 84% consider data-driven decision-making a critical skill
  • 83% look for employees who can interpret data visualizations and dashboards
  • 80% value data analysis and manipulation

For AI skills:

    • 70% consider the basic understanding of AI concepts the most crucial AI skill
    • 69% emphasize AI ethics and responsible AI practices as a vital part of their team function
    • 65% recognize the application of AI in a business context as crucial

    And much more. Download the report for the complete insights.

    How are leaders building data and AI skills? Five lessons leaders are using to create best-in-class teams

    Leaders with mature programs report a notable increase in benefits across several areas: decision-making efficiency jumps to 90%, innovation to 87%, and employee retention to 81%.

    Moreover, drawing on first-hand experiences from DataCamp’s B2B clients like Colgate-Palmolive, Rolls Royce, and Specsavers—dive into the best practices for effectively implementing successful data and AI upskilling and reskilling programs:

    • Expand existing programs to include AI literacy: Broaden data upskilling initiatives to encompass AI literacy as an integral extension of data skills

    • Widen the reach of upskilling initiatives: Extend the scope of training to include non-technical roles, enhancing organizational-wide AI literacy

    • Focus on interactivity and personalization: Center learning programs around interactive and personalized training for effective skill development

    • Leverage AI as a force multiplier: Utilize AI to enhance and accelerate the application of data skills across the organization

    • Proactive change management: Emphasize positive reinforcement and change management to address workforce concerns about new technologies

    For more detailed insights and recommendations, read the full report.

    Beyond the workplace: Data and AI literacy as social safeguards

    The report also explores how data and AI literacy serve as critical societal safeguards against humanity’s most pressing challenges—including online misinformation, bias from AI systems, and job automation.

    What DataCamp found for each challenge:

    • Online misinformation and disinformation: 73% acknowledge that AI literacy is pivotal in mitigating online misinformation and disinformation

    • Bias from AI systems: 75% agree every employee should be trained in ethical AI practices to prevent biases that can fuel social injustices and distort data-driven decisions

    • Job automation: 57% suggest that well-trained individuals are less likely to be affected by automation. Additionally, 75% believe that nations and organizations have a responsibility to prepare their workforce for these changes.

    Download the Full Free Report

    This article touches on a fraction of the findings. 

    Download the full report to learn more about the present and future of data and AI literacy and how they might impact your career and organization.

    {cryptoQuotes}: Open access to cryptocurrency market data in R (Update)

    The {cryptoQuotes}-package have been updated to version 1.3.0. With this update comes many new features,  and breaking changes. Prior to version 1.3.0 the package were using camelCase (See for example this post), with no particular style guide. The package now uses the tidyverse style guide which, in return, have deprecated a few core functions.

    Note: Only the styling is affected, the returned market data is still xts/zoo-objects
    Of the many new features and enhancements includes dark and light themed charting, and  a wide array of new sentiment indicators. The full documentation can be found on pkgdown.

    In this blog post the new charting features will be showcased using hourly Bitcoin OHLC-V and long-short ratios from the last two days (From writing this draft).

    Cryptocurrency market data in R

    # 0) load library
library(cryptoQuotes)
    To extract the Bitcoin OHLC-V,  the get_quote()-function [previously getQuote()]  is used as  shown below,

    # 1) extract last two
# days of Bitcoin on the
# hourly chart
tail(
  BTC <- get_quote(
    ticker   = "BTCUSDT",
    source   = "binance",
    interval = "1h",
    from     = Sys.Date() - 2
  )
)
#>                        open    high     low   close    volume
#> 2024-06-05 02:00:00 70580.0 70954.1 70462.8 70820.1  7593.081
#> 2024-06-05 03:00:00 70820.2 71389.8 70685.9 71020.7 11466.934
#> 2024-06-05 04:00:00 71020.7 71216.0 70700.0 70892.1  7824.993
#> 2024-06-05 05:00:00 70892.2 71057.0 70819.1 70994.0  5420.481
#> 2024-06-05 06:00:00 70994.0 71327.9 70875.9 71220.2  7955.595
#> 2024-06-05 07:00:00 71220.2 71245.0 70922.0 70988.8  3500.795
    The long-short ratios on Bitcoin in the same hourly interval is retrieved using the get_lsratio()-function [previously getLSRatio()] as shown below,

    # 2) extract last two days
# of long-short ratio on
# Bitcoin
tail(
  BTC_LS <- get_lsratio(
    ticker   = "BTCUSDT",
    source   = "binance",
    interval = "1h",
    from     = Sys.Date() - 2
  )
)
#>                       long  short  ls_ratio
#> 2024-06-05 02:00:00 0.4925 0.5075 0.9704433
#> 2024-06-05 03:00:00 0.4938 0.5062 0.9755038
#> 2024-06-05 04:00:00 0.4942 0.5058 0.9770660
#> 2024-06-05 05:00:00 0.4901 0.5099 0.9611689
#> 2024-06-05 06:00:00 0.4884 0.5116 0.9546521
#> 2024-06-05 07:00:00 0.4823 0.5177 0.9316206
    Prior to version 1.3.0 all charting with indicators were done with the magrittr-pipe operator, both internally and externally. This came with a overhead on both efficiency and readability (Opinionated, I know). The charting has been reworked in terms of layout and syntax.

    Below is an example of a dark-themed chart with the long-short ratio alongside simple moving averages, bollinger bands and volume indicators,

    # 3) dark-themed
# chart
chart(
  ticker = BTC,
  main   = kline(),
  indicator = list(
    bollinger_bands(),
    sma(n = 7),
    sma(n = 14)

  ),
  sub = list(
    volume(),
    lsr(ratio = BTC_LS)
  )
)

    The light-themed chart have been reworked, and have received some extra love, such that its different from the default colors provided by the {plotly}-package,

    # 4) light-themed
# chart
chart(
  ticker = BTC,
  main   = kline(),
  indicator = list(
    bollinger_bands(),
    sma(n = 7),
    sma(n = 14)
  ),
  sub = list(
    volume(),
    lsr(ratio = BTC_LS)
  ),
  options = list(
    dark = FALSE
  )
)

    About the {cryptoQuotes}-package

    The {cryptoQuotes}-package is a high-level API-client that interacts with public market data endpoints from major cryptocurrency exchanges using the {curl}-package.

    The endpoints, which are publicly accessible and maintained by the exchanges themselves, ensure a consistent and reliable access to high-quality cryptocurrency market data with R.

    Installing {cryptoQuotes}
    The {cryptoQuotes}-package can be installed via CRAN,

    # installing {cryptoQuotes}
install.packages(
  pkgs ="cryptoQuotes",
  dependencies = TRUE
)

    Created on 2024-06-05 with reprex v2.1.0

    Meta-Analysis in R workshop

    Join our workshop on Meta-Analysis in R, which is a part of our workshops for Ukraine series! 

    Here’s some more info: 

    Title: Meta-Analysis in R

    Date: Thursday, July 11th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

    Speaker: Matthew B. Jané is a graduate student in quantitative psychology at the University of Connecticut. His interests involve data visualization and statistical methods for meta-analysis and psychometric measurement. He is affiliated with the Systematic Health Action Research Program where he is advised by Dr. Blair T. Johnson. 

    Description: In this workshop, we will learn how to conduct meta-analysis in R using real data sets. We will first discuss how effect sizes such as standardized mean differences, correlations, and odds ratios are calculated. Then we will discuss three types of meta-analytic models (i.e., common, fixed, and random effects models) and how we can fit each model in R. Finally, we will visualize how study characteristics can moderate effect sizes with the help of meta-regression.

    Minimal registration fee: 20 euro (or 20 USD or 800 UAH)


    How can I register?



    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

    If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


    How can I sponsor a student?


    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

    If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).


    You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

    Looking forward to seeing you during the workshop!

    Polytomous Latent Class Analysis and Regression in R workshop

    Join our workshop on Polytomous Latent Class Analysis and Regression in R which is a part of our workshops for Ukraine series! 

    Here’s some more info: 

    Title: Polytomous Latent Class Analysis and Regression in R

    Date: Wednesday, July 3rd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

    Speaker: Lana Bojanić is a research associate and PhD candidate at the University of Manchester. With over 7 years of experience using R, she is also a co-founder of the R user group at the University of Manchester and R Ladies Zagreb, Croatia. Lana is passionate about introducing people to R and supporting them during their transition to full-time R users.

    Description: Polytomous (multi-category) data is common in many fields that utilise surveys, tests or- assessments. This workshop will deal with latent class analysis and latent class regression analysis of this data type, using PoLCA package. Furthermore, we will cover the necessary data preparation for this analysis, specifying the model, and calculating/extracting fit values. Finally, we will look into different ways of plotting results for this analysis.

    Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



    How can I register?



    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

    If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


    How can I sponsor a student?


    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


    If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



    You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


    Looking forward to seeing you during the workshop!

    Effective Visual Communication with R workshop

    Join our workshop on Effective Visual Communication with R, which is a part of our workshops for Ukraine series! 


    Here’s some more info: 

    Title: Effective Visual Communication with R

    Date: Thursday, June 20th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

    Speaker: Claus Wilke is a data scientist and computational biologist at The University of Texas at Austin. He is known for his work on popular R packages for data visualization, such as cowplot, ggridges, and ggtext, as well as his contributions to the package ggplot2. He is also the author of the book Fundamentals of Data Visualization, published in 2019, which provides a concise introduction to effectively visualizing many different types of data sets.

    Description: In the first half of this workshop, Wilke will provide a high-level perspective on how to make good visualizations and how to use them effectively to communicate and reason about data. The second half will be more hands-on and will address how to use R to make interactive plots, deal with overplotting, and make compound figures.

    Minimal registration fee: 20 euro (or 20 USD or 800 UAH)


    How can I register?


    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
    • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

    If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


    How can I sponsor a student?

    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
    • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


    If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).


    You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

    Looking forward to seeing you during the workshop!

    Free DataCamp Online Conference: Radar: AI Edition, June 26–27, 2024

    ChatGPT was only the beginning. Generative AI is now revolutionizing every industry. 

    As the race to adopting AI tools intensifies, the decisions we make today about AI will likely shape our success for decades to come.

    To learn how the world’s data and AI leaders are adapting to this new era, join DataCamp on June 26–27 for RADAR: AI—a two-day digital event exploring how businesses and individuals can unlock their full potential with AI.

    Register Now

    From scaling AI within your organization and driving innovation to navigating the evolving job market, uncover practical steps to implement in your career or organization to maximize the power of generative AI.

    A star-studded agenda:


    Including voices from GitHub, Dropbox, PwC, Hugging Face, Accenture, and many more, unpack how AI is evolving and how you can take advantage.


    A peak at what to you can expect:

    June 27, 2024 (all times EDT):


    9:00–9:45
    Welcome to RADAR!
    Jonathan Cornelissen, Co-Founder & CEO, DataCamp


    9:50–10:35

    Generative AI in Practice: 100+ Amazing Ways Generative AI is Changing Business and Society 

    Bernard Marr, World-renowned Futurist, AI Advisor, and Author of “Generative AI in Practice”, Bernard Marr & Co


    10:50–11:35 

    From Learning to Earning: Navigating the AI Job Landscape

    Sadie St Lawrence, Founder & CEO at Women in Data, and Megan Finck,

    Global Head of Talent Acquisition—Engineering, IT and Data Analytics, Boeing


    11:40–12:25

    Generative AI: Trends, Impact, and Practical Applications for 2024

    Principal, Insight Partners, and Sandhya Venkatachalam, Partner, Axiom Partners


    12:40–1:25 

    The High Cost of AI Hype

    Eric Siegel, Founder of Machine Learning Week, Prediction Impact


    1:30–2:15
    Building Tomorrow’s Workforce, Today: Scaling Internal AI Academies
    Mike Baylor, CDAO, Lockheed Martin, Carolann Diskin, Senior Technical Program Manager, Dropbox, Matthew Graviss, and CDAIO, U.S. Department of State


    2:20–3:05

    Scaling Data Quality in the Age of Generative AI

    Barr Moses, CEO, Monte Carlo Data, Prukalpa Sankar, Co-founder, Atlan, and George Fraser CEO, Fivetran


    June 27, 2024


    9:00–9:45
    Building Trust in AI: Scaling Responsible AI Within Your Organization

    Haniyeh Mahmoudian, Chief AI Ethicist at Datarobot, Eske Montoya Martinez van Egerschot, Chief AI Governance and Ethics at DigiDiplomacy, Associate Partner at Meines Holla & Partners, and Alexandra Ebert, Chief Trust Officer at MOSTLY AI


    9:50–10:35 

    Leading with AI: Leadership Insights on Driving Successful AI Transformation

    Chandra Donelson, Chief Data and Analytics Officer at United States Air Force, Semih Kumluk, Head of AI and Digital at PwC, and Giorleny Altamirano Rayo


    10:50–11:35 

    The Future of Programming: Accelerating Coding Workflows with LLMs

    Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Mother Duck, and Ryan J. Salva, VP of Product at GitHub


    11:40–12:25 

    Hugging Face and the Future of the Open Source AI Ecosystem

    Julien Simon, Chief Evangelist at Hugging Face


    12:40–13:25 

    Building an AI Strategy: Key Steps for Aligning AI with Business Goals

    Vin Vashishta, AI Advisor and Founder of V Squared, Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, and Sonali Bhavsar, Managing Director at Accenture


    13:30–14:15 

    Charting the Path: What the Future Holds for Generative AI
    Edo Liberty, CEO at Pinecone, Tomasz Tunguz, General Partner at Theory Ventures, and Nick Elprin, CEO at Domino Data Lab


    14:20–15:05

    Closing Session & AMA

    DataCamp’s Co-founders, Jonathan Cornelissen, CEO, and, Martijn Theuwissen, COO

    Once again, RADAR AI is free for everyone

    Radar: AI is more than just another AI conference, but a place to connect with like-minded individuals and organizations. Whether you’re a data scientist, business leader, or just AI-curious, Radar: AI Edition offers something for everyone.


    Don’t let the data and AI revolution pass you by.

    Register Now

    Making tables in R with the gt package workshop

    Join our workshop on Making tables in R with the gt package, which is a part of our workshops for Ukraine series! 

    Here’s some more info: 

    Title: Making tables in R with the gt package

    Date: Thursday, June 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

    Speaker: Rich Iannone, Rich is a software engineer that enjoys working with R and Python. He likes to create packages that help people to accomplish things. While Rich very clearly digs programming, he enjoys other things as well! Examples include: playing and listening to music, reading books, watching films, meeting up with friends, and wandering through the many valleys and ravines of the Greater Toronto Area.

    Description: The goal of the {gt} package is to make building tables for publication a hassle-free process while giving you the freedom to be creative. If you’re familiar with {ggplot2}, the feel of working with {gt} isn’t too far off. Join this workshop for background on the goals of {gt} and an extensive tour of its features by the package developer. There are a lot of functions in this package but we’ll go through the most important ones and learn how to make beautiful tables!

    Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



    How can I register?



    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

    If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


    How can I sponsor a student?


    • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

    • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


    If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



    You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


    Looking forward to seeing you during the workshop!