In this episode, I go over the highest-paying data tools based on the O’Reilly survey.

Additional materials: www.superdatascience.com/524

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

SDS 524: The Highest-Paying Data Tools

Episode 4, talking COVID, maps, open source, Excel, and alcohol research with Colin Angus.
Thanks as always to Tom Jemmett for his fantastic editing
Links:
https://victimofmaths.github.io/
https://github.com/VictimOfMaths
https://twitter.com/VictimOfMaths

NHS-R Podcast Episode 4- Colin Angus

Karen Jean-Francois joins us to discuss how she wants to empower her team members and a wider audience of data scientists battling imposter syndrome.

In this episode you will learn:
• Karen’s background as a hurdler [4:42]
• Women in Data Podcast [10:32]
• Cardlytics [19:04]
• Karen’s background and current career [22:55]
• Karen’s favorite tools [31:29] 
• Karen’s balance of fitness and work [34:45]
• The biggest challenge of Karen’s career [47:09]
• Advancement in data [54:13]
• What is Karen most excited about? [59:40]

Additional materials: www.superdatascience.com/525

SDS 525: Hurdling Over Data Career Obstacles

5.37 tallies the MLB awards predictions (0:39), turns the wheel of time (2:16), kicks around some EPL (8:28), walks the long and winding road towards predicting PAs preseason (9:18), and reviews Amed Rosario (20:20).

Episode5.37 - Long and Winding Road

I finish up our three-part series on the results of the O’Reilly Survey, looking at the highest-paying data frameworks.

Additional materials: www.superdatascience.com/526

SDS 526: The Highest-Paying Data Frameworks

Sophia is a Data Scientist and currently works at Sky in a senior position. She's moved from academia, to startups to enterprise, and we ask her why? Data Science remains under huge pressure (from a lack of talent), and today's episode contains plenty of insight into how these professionals tick!

"You kind of want to learn about this as a data scientist".

Peter Bailis joins the podcast to discuss the work of his company that solves complex commercial problems through automated data analysis.

In this episode you will learn:
• Meaning of the name Sisu [3:08]
• What Sisu does [4:45]
• Sisu and the data science stack [17:00]
• Going from academia to startups [22:37]
• What Sisu looks for when hiring [28:57]
• Peter’s favorite tools [32:40]
• Peter’s academic research [45:02]

Additional materials: www.superdatascience.com/527

SDS 527: Automating Data Analytics

5.38 leafs through the MLB news (0:39), turns the Wheel of Time discussing 0.1 and 0.2 (3:22), kicks around some EPL (6:44), walks through some Hot Stove case studies for player team changes (8:51), and reviews Willy Adames (21:07).

Episode5.38 - Checkov's Yellow Submarine

Recently we’ve had the great pleasure of chatting with Tiago Cunha Reis, founder and CEO of Mater Dynamics. Tiago’s expertise relies on Microelectronics and Data science, with a specialization in Natural User Interfaces. Tiago loves to merge deep tech and business opportunities. Whether researching in the lab or reading the most recent advances in Electronics and Computer Science, he strives to simplify complex architectures into feasible and business-friendly solutions. If you find whales in the ocean, you will also probably find Tiago on the floor of a warehouse with his laptop deploying Mater Dynamic’s solutions (he often says ‘It’s my natural environment’).

Main topics covered:
🌱 At what age does the curiosity appear
🤓 Personal development to deliver more value to the world
🛠️ How to analyse data while we’re sleeping 
🚀 How should companies embrace STEAM students 

[6:30] Starting at 8 years old his electrochemistry curiosity 
[11:28] How to build productive brains 
[12:23] At 25 years old you start working your personality 
[13:42] Work experience between finishing a Master and taking a PhD 
[15:30] Personal development to deliver more value to others
[16:26] PhD vs MBA? Set your skills and find your tutors to improve 
[18:33] "I would do my PhD in the age 45 maybe"
[19:00] Data Science course at Nova Business School 
[21:28] Understand the data to achieve better results  
“I designed this course, where you actually see what is Computer Science (...) background of the student as real cases”
[23:30] New course of Data Science, together with Lusófona University and Mater Dynamics
How to apply: send Tiago Cunha mp
[25:00] Who is this course designed for? To whom would you recommend it?
[27:00] Course mission: How to analyse data while I’m sleeping 
[30:00] Work in a project that means something for the society 
[32:36] where to find business opportunities 
[34:07] Behind the scenes: Work with clients to solve their problem 
“I really like to say that we are like Intel, nobody knows it, but everybody buys it.”
[36:10] Small companies that live longer
“Everybody wants to be like a unicorn but not everybody wants to be Mater Dynamics”
[38:44] STEAM talent for the future of work
[46:10] Education system: new ways to work with kids should be considered
[48:50] How should companies embrace students 
[53:32] Digital transformation and resilience 
[56:43] The impact of blockchain and 5G Technology in companies
[1:00:58] Book recommendations

Mentioned on this podcast:
👨‍💻 Tiago's Linkedin: https://www.linkedin.com/in/tiagocunhareis/

📒 Sapiens: A Brief History of Humankind, Yuval Noah Harari (understanding what/why we turn out as a species, is the first step to understand current society)

📒 Can’t Hurt Me, David Goggins (a living proof /harsh, unapologetically proof how accountability can transform you)

📒 Elementary Math for Computer Science with Python, Eric Bennet (start here, start easy)

​--
PRODUCTION
This podcast was hosted by me, André Marquet. Produced by Teresa Segismundo, with research by Katarzyna Chryczyk and sound editing by Miguel Sousa.

The Productized Podcast is produced by Productized - a series of interviews with product innovators, successful makers, and entrepreneurs. We hope those who listen to the ideas on this show are inspired to productize. For show notes and additional resources related to the Productized Podcast visit medium.com/@Productized.

88. STEAM Students: How Can They Bring More Value To Businesses with Tiago Cunha Reis

Jon explores his personal anxieties as a content creator to encourage fellow creators to keep sharing their knowledge.

Additional materials: www.superdatascience.com/528

SDS 528: The Normal Anxiety of Content Creation

The NHS-R community aims to support the learning, application and exploitation of R in the NHS through workshops, video tutorials and providing a platform for discussion and sharing of developing best practice solutions to NHS problems.

Productized Talks Podcast is about finding the right answer when asking "How to create great products?". Our main focus is on products at the intersection of digital and physical, on software, web and mobile, created by startups as well as big companies.
Productized Masterclasses are 2 days of hands-on training with 8 masterclasses and 2 keynote speakers. You will be able to enjoy a series of honest lessons and practical tips. We want to inspire and teach you about product thinking, product management and user experience! Join us on 27 and 28 May 2021
👉https://productized-masterclasses.heysummit.com/

To quote Dr. Evil, "The details of our lives are quite inconsequential." What's important is that we like fantasy, as it applies to the genre and the game derived from baseball statistics. We also enjoy developing analytical and computational “tools” for supporting the latter habit. Our goal is to share our fantasy baseball tools with a little help from the fantasy genre for context, allusion, and (fire and) ice breaking. In doing so, we hope to broaden the way our audience approaches fantasy baseball. Our podcast presents our methods to the public in the spirit of OpenSource - through freely helping others we promote active conversation that improves our tools.

The Super Data Science podcast with Jon Krohn brings you the latest and most important machine learning, artificial intelligence, and broader data-world topics from across both academia and industry. As the quantity of data on our planet doubles every couple of years and this trend is set to continue for decades to come, there's an unprecedented opportunity for you to make an enormous impact in your lifetime. 

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, and commercialization − everything you need to crush it with data science.

The awarding-winning technology leadership podcast, exploring the views of leaders and organisations across the sector. Now in our 6th year! Powered by the Harvey Nash Group.

https://www.harveynashgroup.com/news-analysis

New tracks tagged #datascience