Dr. Saba Nafees is a data scientist in San Francisco.  In college, she melded her love of math with science, and changed from a pre-med pathway to that of data scientist.  Dr. Nafees discusses what a "typical day" looks like on the job, why math is important in solving science problems, the role of mentors, and life in America after immigrating to the United States from Pakistan as a child.

Pre-Med, Cell/Molecular, Biomath

From Pre-Med to Data Science with Dr. Saba Nafees

Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry.

This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What motivated Shashank to start his YouTube channel [04:31]
• The must-have technical skills for every data scientist [16:59]
• The soft skills needed for data science [20:52]
• The differences between data analyst, data scientist and data engineer [24:26]
• How data are currently being applied in the sports industry [38:38]
• The “needs” divide between digital native and traditional companies [45:34]

Additional materials: www.superdatascience.com/623

The Super Data Science Podcast: Machine Learning | AI | Success

623: Data Analyst, Data Scientist, and Data Engineer Career Paths

Rimassa, community manager, data scientist, Lean startup, formazione manager, cercare lavoro

Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.

Additional materials: www.superdatascience.com/780

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

780: How to Become a Data Scientist, with Dr. Adam Ross Nelson

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), by Babbel (https://www.babbel.com/superdata), the science-backed language-learning platform, and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• Common career challenges for data scientists [34:57]
• Advice for people who don’t know where to go in their career [48:05]
• How to build resilience and protect against Imposter Syndrome [1:06:23]
• Skills that data scientists should develop today [1:39:17]
• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803

803: How to Thrive in Your (Data Science) Career, with Daliana Liu

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au) and AWS Trainium (https://go.aws/3ycV6K0), and by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• About the PyTorch library [03:29]
• Why PyTorch became so popular [25:24]
• How to increase accuracy and efficiency in PyTorch [31:49]
• How to utilize transfer learning [35:44]
• Why real-world projects are essential to data scientists [41:10]
• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819

819: PyTorch: From Zero to Hero, with Luka Anicin

Le 8 professioni del futuro legate alla tecnologia

In this episode of the SuperDataScience Podcast, I chat with the Data Science Influencer and Data Science Author, Kate Strachnyi. You will hear about Kate's journey to becoming a data science influencer, know how she is massively contributing to the data science community,  and get insights how to create a culture of data science within an organization.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/205

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 205: Contributing to the community as a Data Science Influencer

5 maneiras pelas quais as empresas podem usar ferramentas de ciência de dados sem precisar contratar um cientista de dados.

#0005 - Fala Gaiotto

In episode 22 of EnterpriseReady, Grant chats with Derek Steer, CEO of Mode. They pull back the curtain on data science tools, and how enterprise software companies can use data analysis to drive business.

Subscribe in iTunes

EnterpriseReady - Ep. #22, Data-driven Enterprise with Derek Steer of Mode

Heavybit is the leading early-stage investor in enterprise infrastructure. Since 2013, we've helped launch and scale visionary technical startups—from DevSecOps and feature flagging to AI code generation and beyond. We go hands-on from day 0, backing founders as they turn code into companies and build the future of software from the bottom up to the top down.

Lavoradio è un podcast che racconta gli scenari del lavoro e dell'innovazione, con lo sguardo rivolto al futuro.  https://www.lavoradio.com

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Levando conhecimento em tecnologia para todos...

Fala Gaiotto, o seu canal de curadoria com foco em tecnologia.

Inspiração: "Vivemos numa sociedade intensamente dependente da ciência e tecnologia, em que quase niguém sabe algo sobre ciência e tecnologia." - Carl Sagan

Dr. Kosal is the Director of the LSFY (Life Science First Year) Program at NC State University.  She is also an Associate Teaching Professor of Biology.  She earned her BS degree from Michigan State University and her MS and PhD degrees from NC State University.

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