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Chad Readey, a self-proclaimed "nerd-athlete" at Northwestern University, is pursuing a Bachelor's degree in Data Science and Computer Science. He made his collegiate debut in 2022 as a pitcher. Chad's passion extends beyond the field, as he envisions a future in data analytics and hopes to merge his love for sports with his analytical skills.

Chad Readey - An Aspiring Data Scientist

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.

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

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

This week's Transfix Take On is a special interactive recording as we take on Turning Data into Decisions. When it comes to data, there's no shortage in the supply chain. From historical to real-time, it's all accessible. But properly harnessing and analyzing it can help shippers achieve incredible things.

Listen as Fil Piasevoli, Transfix’s Director of Data Science, takes you behind the scenes with Transfix IQ, our data and insights engine. Learn how to prepare for risks, maximize productivity, inform decision-making, plan for market changes, and more.

In this podcast, we'll cover:

• How Transfix IQ delivers actionable insights through industry analysis, data modeling, and expert insights.
• How our 45-day forecasts help carriers and shippers navigate market shifts.
• Case studies showing the power of data across various industries.

Follow along here https://vimeo.com/938786107?share=copy and discover how to turn data into your secret weapon in the supply chain!

The Transfix Take On: Turning Data into Decisions feat. Filip Piasevoli, Director of Data Science

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

Chad Readey is an aspiring data scientist pursuing a Data Science and Computer Science Bachelor's degree at Northwestern University. Known for his independent streak and dedication to his team, Chad balances his passion for baseball with his love for data analytics. Visit At:- https://muckrack.com/chad-readey

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.

Welcome to the Transfix Take On, a show for the logistics and supply chain world where we switch gears into the hot topics of trucking. For more information, visit: www.transfix.io

New tracks tagged #Data Scientist