Data Science Recruitment Hiring Under-Represented Analytics Professionals: A Novel, Turnkey Solution The turnkey solution for hiring data-literate professionals and building diverse workforces.
Data Literacy Five Things We Learned at the DS4A / Empowerment Kick-Off The entire team at Correlation One left the day inspired, entertained and in awe of this cohort and the promise that they show for the future of data science. We wanted to share with you just a few of the things we took away.
Data Science for All Is Your Class Chat This Lit? The first Data Science for All / Empowerment cohort of 500 Fellows kicked off this Saturday. Here are some of our favorite moments from the kick-off event.
Data Literacy Meet the Class of Fall 2020 - DS4A / Empowerment We are excited to introduce you to some of the Data Science for All / Empowerment Fellows who are part of first 500-person cohort. We are honored to share their stories here.
Data Science for All C1’s Andrew Strong on the Data Binge Podcast // Data Science for All: Feeding the AI Economy Correlation One’s Andrew Strong joined Microsoft’s Derek Russell on the Data Binge Podcast. The discussion covered a range of topics, including education reform, opportunity, and the importance of diversity in data science and AI.
DS4A LatAm Data Science for All: Colombia Graduates 500+ new data professionals Correlation One and the Colombian Ministry of Information and Communication Technologies (MinTIC) celebrated the finale of Data Science for All Colombia.
Data Science for All / Empowerment Announcing Data Science for All / Empowerment Correlation One launches Data Science for All / Empowerment, to provide Black, Latinx, and LGBT+ students and professionals with the skills and connections to start and advance their careers in the data science and analytics fields.
Story of Data Newsletter The Story of Data - Issue 5 This week we explore thoughtful annotations, using redundancy, and the datafolio!
C1 Connect Last Mile of the Data Science Workflow Data science is being used to solve the world's biggest problems, but all too often, the work is only accessible to a technical audience.
Story of Data Newsletter The Story of Data - Issue 4 This week we explore NLP visualization, dot density maps, and how to share data remotely!
Story of Data Newsletter The Story of Data - Issue 3 This week we explore the impact of color, context, and annotations for storytelling.
Story of Data Newsletter The Story of Data - Issue 2 This week we explore creating your own datasets, chord diagrams, and giving a voice to the vulnerable.
Story of Data Newsletter The Story of Data - Issue 1 This week we look at data journalism, visualizing survey data, and a new take on word clouds.
Diversity in Data Science The Troubling Data Points That Inspired Us To Create the Data Science For All: Women’s Summit We launched this diversity and inclusion initiative to address the gender imbalance in technology, as well as within data science, AI, and machine learning more specifically.
Events, Training and Webinars Data Science for All: Memorial Sloan Kettering Hear from Memorial Sloan Kettering on how they're using data science to conquer cancer, at the NYC meetup hosted with Correlation One.
Events, Training and Webinars Proud To Announce Our New Partnership With The Quant Conference! Correlation One (C1) and The Quant Conference are pleased to announce they have entered into a strategic alliance, combining Correlation One’s expertise in assessing data & quantitative research talent with The Quant Conference’s expertise in organizing one of the world’s leading quant conferences.
Data Science Why Upskilling Employees is So Important in a Fast-Changing Environment The biggest challenges facing companies is how to adapt to the rapid change of technology and innovation. Upskilling and data literacy will set you apart.
Data Science Are Candidate GPAs Sending the Wrong Signals? Comparing candidates for technical roles is no easy matter. Many companies do not have standard metrics by which to quantify candidates’ skills, leading recruiters to rely too heavily on GPA and technical buzzwords on resumes.