Training

Introduction

  • The Missing Semester of Your CS Education | MIT: Master practical tools and skills in computer science, which are often overlooked but are crucial for efficient problem-solving and productivity in academia and scientific development.
  • Software Carpentry: Learn foundational computing skills for scientific research, including programming, version control, and task automation.
  • O’Reilly Books: Access a wide range of technical books and resources on programming, data science, and machine learning.
  • NIH Library Training & Events: The NIH Library offers a variety of training sessions on scientific computing, data analysis, and programming.
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