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By listening to this episode, you’ll learn about these topics:
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.”
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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