Inside Our Favorite DataFramed Episodes of 2022

The Rise of Hybrid Jobs & the Future of Data Skills with Matt Sigelman

It’s no secret that data science jobs are rising, but data skills across the board are rising — leading to what Matt Sigelman calls “hybrid jobs.” This will require a paradigm shift in how we think about jobs and skills. Matt Sigelman is the Chairman of Emsi Burning Glass, a leading labor market analytics firm. Emsi Burning Glass uses data science to map out how skills change in the job market in real time. In this episode, Matt provides an incredibly unique perspective on how exactly data skills are becoming more in demand and in which roles. 

How Data Literacy Skills Help You Succeed with Jordan Morrow

Data Literacy is increasingly becoming a skill that every role needs to have, regardless of whether their role is data-oriented. No one knows this better than Jordan Morrow, who is known as the Godfather of Data Literacy. Jordan is the VP and Head of Data Analytics at Brainstorm, Inc., and is the author of Be Data Literate: The Skills Everyone Needs to Succeed. Jordan has been a fierce advocate for data literacy throughout his career, including helping the United Nations understand and utilize data literacy effectively. Throughout the episode, he defines data literacy, why organizations need data literacy to use data properly and drive business impact, how to increase organizational data literacy and more.

Successful Frameworks for Scaling Data Maturity with Ganes Kesari

To become a data-driven organization, it takes a major shift in mindset and culture, investments in technology and infrastructure, skills transformation, and clearly evangelizing the usefulness of using data to drive better decision-making. With all of these levers to scale, many organizations get stuck early in their data transformation journey, not knowing what to prioritize and how. In this episode, Ganes Kesari joins the show to share the frameworks and processes that organizations can follow to become data-driven, measure their data maturity, and win stakeholder support across the organization.

How the Data Community Can Accelerate Your Data Career with Kate Strachnyi 

Data skills may be important for everyone to have, but the level of need is always unique to each individual. Some may need advanced technical skills in machine learning algorithms, while others may just need to be able to understand the basics. Regardless of where anyone sits on the skills spectrum, the data community can help accelerate their careers. There’s no one who knows that better than Kate Strachnyi. Kate is the Founder and Community Manager at DATAcated, a company that is focused on bringing data professionals together and helping data companies reach their target audience through effective content strategies. In this episode, we talk about best practices in data visualization, the importance of technical skills and soft skills for data professionals, how to build a personal brand and overcome Imposter Syndrome, how data literacy can make or break organizations, and much more.

Data Journalism in the Age of COVID-19 with Betsy Ladyzhets

Since 2020, Data Journalism has risen both in significance and visibility. Throughout the COVID-19 pandemic, data journalists have been instrumental in keeping the public informed by investigating, challenging, interpreting, and explaining complex datasets. In this episode, Betsy Ladyzhets joins the show to talk about the state of Data Journalism today, and shares from her experience as a data journalist. Throughout the episode, we discuss the importance of letting data shape a narrative, what characteristics of traditional journalism are needed for data journalists, the best practices for delivering effective data stories, how the rise of AI and data visualization are impacting data journalism, and much more.

How Salesforce Created a High-Impact Data Science Organization with Anjali Samani

In this episode, Anjali Samani, Director of Data Science & Data Intelligence at Salesforce, joins the show to discuss what it takes to become a mature data organization and how to build an impactful, diverse data team. As a data leader with over 15 years of experience, Anjali is an expert at assessing and deriving maximum value from data, implementing long-term and short-term strategies that directly enable positive business outcomes, and how you can do the same.

The DataFramed Careers Series with Sadie St. Lawrence, Nick Singh, Khuyen Tran, and Jay Feng

In this four-part episode series focused on getting started with data careers, Sadie St. Lawrence, Nick Singh, Khuyen Tran, and Jay Feng join the show to discuss how to launch a data career today effectively. There are timeless insights relating to how to organize your resume, best practices for creating portfolio projects, how to approach data science interviews, and how to leverage the data community and share knowledge as a way to grow your personal brand. 

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