Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
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Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Mind The Business: Small Business Success Stories
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1 The SB Starter Kit - Everything You Need or Need to Know to Get Your Business Off the Ground (Part 1) - Trademarks, Patents, LLCs and SCorps 35:28
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Step one for starting a small business is often coming up with an exciting idea. But what is step two? Step three? Steps four through launch and beyond? On our second episode, and first iteration of our Small Business Starter Kit Series, Austin and Jannese visit The Candle Pour to chat with founders Misty and Dennis Akers . They’ll tell our hosts about how they got their business off the ground and about all the things that go with it: from incorporation to trademarks. Join us as they detail how they went from Grand Idea to Grand Opening. Learn more about how QuickBooks can help you grow your business: Quickbooks.com See omnystudio.com/listener for privacy information.…
The Effective Data Scientist
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Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.
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Manage series 3515392
Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.
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1 As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24) 21:37
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Discussion with Alexander Schacht and Benjamin Piske how it relates to your goals, what it takes to think strategically, which role innovation has here, what practical steps to take to drive teams forward, which knowledge to acquire to lead teams successfully, how this relates to influencing, and how your attitude will play a big role in this.…
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Interview with Shafi Chowdhury In this episode, we’ll cover an amazing story by one of the best programmers and mentors I ever worked with - Shafi Chowdhury (www.shaficonsultancy.com). We’ll explore how it changed from being a freelance programmer only to building his company on the side. He had a great vision in mind, that drove him forward. You’ll also hear about his approach to teaching and mentoring – or in general helping people do their job better. His abundance mindset inspires me a lot. Shafi explains, why and how he made his own job redundant in his own company. Retention is a major cost driver and disrupts some companies a lot. You’ll learn how he manages to have nearly no turnover in his company and how is approach to recruiting and training new employees fits in to this. Further, we’ll cover how and why Shafi and his team regularly presenting at different conferences. We’ll especially go deeper on this presentation at the PSI conference in 2017 about an amazing tool to analyse and visualize data at the same time. His approach to delivering all this innovation is very unique. Finally, you’ll learn a lot about the leadership attitude that helped him grow his business fast into a medium-sized CRO with a very stable client base.…
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1 How to Write Impactful and Effective Emails While Avoiding Common Mistakes (Episode 20) 34:27
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Do you have a lot of email ping-pong, where emails go back and forth many times – too many times? Are you aware about the brand of you, that you communicate with your email style? Is email your default communication tool? Then this episode is for you. We have researched various articles on good email writing copies and distilled the best for you in this episode. By listening to this episode, you will learn about: When is email the best way to communicate? Approaches to attachments. How to take care of your style? How to structure your emails? About different email cultures Simple actionable tricks to improve your effectiveness directly…
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1 Tips and Tricks to Reduce Your Email Burden Including the Option of Last Resort (Episode 19) 30:00
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Discussion with Alexander Schacht and Benjamin Piske By listening to this episode, you’ll learn about these topics: What are helpful mindsets about emails Five step approach to managing emails Good habits to establish like Reply in a timely manner Send and respond less to receive less. Tips on how to set up filters Smartphone vs desktop email checking When and when not to work on emails And the option of last resort…
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Discussion with Alexander Schacht and Paolo Eusebi In this episode, we share out ideas and experiences, which mindset sets up statisticians for success. We cover topics around:
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1 Success Starts in Your Head - Thoughts About the Mindset of Being Successful (Episode 16) 23:34
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Discussion with Alexander Schacht and Benjamin Piske In this episode, we share our ideas and experiences, which mindset sets up for success. We cover topics around: Leading people Convincing business partners Delivering value and selling it–and what does selling mean Thinking outside the status quo to improve things in the long run Always learning about the business and the people in the business Learning about statistical innovation Doing things more effectively Becoming more impact-fully Raising your business acumen–internally and externally Having quality in mind Quote from the Episode by Bill Gates “Most people overestimate what they can do in one year and underestimate what they can do in ten years.”…
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1 What Are the Questions to Ask If You Get a New Project? (Episode 15) 21:18
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Discussion with Paolo and Thomas Communicating data is so important! Quarto is a fantastic tool for writing reproducible reports using literate programming. Literate programming allows us to incorporate documentation and code in the same program. The data science community has embraced this idea by adopting Rmarkdown and Jupyter Notebooks. Using Quarto efficiently, you can create parametrized reports, write scientific publications, and build data-driven slides. Enjoy this super-interesting conversation with Thomas Neitmann, and be an effective data scientist!…
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Resources: R Packages (2e)
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The Effective Data Scientist
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1 How to Effectively Structure Data Science Projects in R (Episode 11) 21:36
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In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on: • organizing files into folders, • documenting and commenting code, • using version control systems and much more. Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used. Further resources: Advanced R 2nd Ed. ( http://adv-r.hadley.nz ) R for Data Science 2nd Ed. ( http://(r4ds.hadley.nz )…
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1 Dichotomization and Proportional Odds Model (Episode 10) 15:30
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In this episode, we move from the logistic regression model to proportional odds model, with emphasis on interpretation and the checking of assumptions (visually and analytically). We also speak about the opportunities and challenges of dealing with the dichotomization of ordinal or continuous variables. Resources: ● McCullagh, Peter, and John A. Nelder. Generalized linear models. Routledge, 1983. ● Agresti, Alan. Categorical data analysis. John Wiley & Sons, 2003. ● Faraway, Julian J. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Chapman and Hall/CRC, 2016. ( http://https://julianfaraway.github.io/faraway/ELM/ )…
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