دانلود کتاب پانداها برای همه: تجزیه و تحلیل داده های پایتون

My foray into teaching was in 2013 when I attended my first Software- Carpentry workshop, and I’ve been involved in teaching ever since. In 2019, I was lucky enough to be one of the RStudio (now Posit, PBC) interns with the education group. By then, data science education has already gained a tremendous amount of momentum. When I finished my internship, I needed a dissertation topic for my degree, and wanted to combine teaching with medicine. Luckily, I knew a librarian at the university, Andi Ogier, who connected me with Anne Brown, who was also interested in teaching data literacy skills in the health sciences. The rest, is history. Anne became my PhD chair, and with the rest of my committee, Dave Higdon, Alex Hanlon, and Nikki Lewis, I got to do research on data science education in the medical and biomedical sciences.1 The first edition of the book became a foundation for what data science topics were taught for the workshop component of the dissertation. The second edition of Pandas for Everyone incorporates many of the things I’ve learned while studying education and pedagogy.