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תוכן מסופק על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Player FM - אפליקציית פודקאסט
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Species Unite


“If we march into that village and we start trying to persecute people for using poison, something that's very illegal, nobody's going to talk to us. We're not going to find out where the poison came from. We're not going to be able to shut anything down. We should take the approach that people are using poison because they're desperate, because they see no other alternative.” – Andrew Stein Andrew Stein is a wildlife ecologist who spent the past 25 years studying human carnivore conflict from African wild dogs and lions in Kenya and Botswana to leopards and hyenas in Namibia. His work has long focused on finding ways for people and predators to coexist. He is the founder of CLAWS , an organization based in Botswana that's working at the intersection of cutting-edge wildlife research and community driven conservation. Since its start in 2014 and official launch as an NGO in 2020, CLAWS has been pioneering science-based, tech-forward strategies to reduce conflict between people and carnivores. By collaborating closely with local communities, especially traditional cattle herders, CLAWS supports both species conservation and rural livelihoods—making coexistence not just possible, but sustainable.…
Sharing your Code with R Packages (Episode 12)
Manage episode 378107579 series 3515392
תוכן מסופק על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Manage episode 378107579 series 3515392
תוכן מסופק על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Alexander Schacht and Paolo Eusebi, Alexander Schacht, and Paolo Eusebi או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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The Effective Data Scientist

1 As a Statistician - Do You Take the Back Seat or Do You Drive Yourself? (Episode 24) 21:37
21:37
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אהבתי21:37
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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The Effective Data Scientist

1 On Building Your Own Company (Episode 23) 44:32
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אהבתי44:32
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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The Effective Data Scientist

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The Effective Data Scientist

1 Dimension Reduction with PCA (Episode 21) 21:31
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אהבתי21:31
Discussion with Alexander Schacht and Paolo Eusebi 0000016B 0000015F 000045CA 00003CF4 0013891F 000E045E 00007FBA 00006E82 00004C39 001366D6
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The Effective Data Scientist

1 How to Write Impactful and Effective Emails While Avoiding Common Mistakes (Episode 20) 34:27
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אהבתי34:27
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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The Effective Data Scientist

1 Tips and Tricks to Reduce Your Email Burden Including the Option of Last Resort (Episode 19) 30:00
30:00
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אהבתי30:00
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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The Effective Data Scientist

1 Data Visualization Part 2 (Episode 18) 23:10
23:10
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אהבתי23:10
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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The Effective Data Scientist

1 Data Visualization Part 1 (Episode 17) 24:18
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אהבתי24:18
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The Effective Data Scientist

1 Success Starts in Your Head - Thoughts About the Mindset of Being Successful (Episode 16) 23:34
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אהבתי23:34
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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The Effective Data Scientist

1 What Are the Questions to Ask If You Get a New Project? (Episode 15) 21:18
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אהבתי21:18
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The Effective Data Scientist

1 A Picture Says More Than 1000 Tables (Episode 14) 45:41
45:41
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אהבתי45:41
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The Effective Data Scientist

1 Writing Reproducible Reports using Quarto (Episode 13) 16:58
16:58
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אהבתי16:58
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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The Effective Data Scientist

1 Sharing your Code with R Packages (Episode 12) 22:20
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אהבתי22:20
Resources: R Packages (2e)
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The Effective Data Scientist

1 How to Effectively Structure Data Science Projects in R (Episode 11) 21:36
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אהבתי21:36
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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The Effective Data Scientist

1 Dichotomization and Proportional Odds Model (Episode 10) 15:30
15:30
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אהבתי15:30
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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