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Tentang Buku

Wajah akademis sedang berubah. Tidak lagi cukup untuk hanya menerbitkan atau tenggelam. Kita sekarang berada di era di mana Twitter, Github, Figshare, dan Alt Metrics menjadi bagian reguler dari alur kerja ilmiah. Di sini saya memberikan saran tingkat tinggi tentang alat apa yang harus digunakan, bagaimana menggunakannya, dan hal-hal apa yang harus diwaspadai. Buku ini cocok untuk ilmuwan di semua tingkat yang ingin tetap mengikuti perkembangan teknologi terkini yang mempengaruhi karir ilmiah modern. Buku ini sebagian berdasarkan pada panduan populer penulis termasuk panduan untuk

  • Mereview paper
  • Membaca paper
  • Perencanaan karir
  • Memberikan presentasi

Buku ini mungkin paling cocok untuk mahasiswa pascasarjana dan postdoc di bidang sains, tetapi mungkin menarik bagi orang lain yang ingin menyesuaikan proses ilmiah mereka untuk menggunakan alat modern. 

Tentang penulis: Jeff Leek adalah Associate Professor Biostatistika di Johns Hopkins Bloomberg School of Public Health. Dia adalah salah satu pendiri dan direktur bersama dari Spesialisasi Data Science Johns Hopkins di Coursera yang telah mendaftarkan lebih dari 3 juta calon ilmuwan data. Penelitiannya telah membantu memperkaya pemahaman kita tentang dasar genomik dari perkembangan otak, trauma tumpul, dan kanker. Dia menulis blog di Simply Statistics dan dapat ditemukan di twitter di @jtleek dan @simplystats


Tentang Para Penulis

Jeffrey Leek’s avatar Jeffrey Leek

@@jtleek

Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

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