The Elements of Data Analytic Style (Phiên Bản Tiếng Việt)
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The Elements of Data Analytic Style (Phiên Bản Tiếng Việt)

Một hướng dẫn dành cho những người muốn phân tích dữ liệu.

About the Book

Phân tích dữ liệu ít nhất cũng như là một nghệ thuật như nó là một khoa học. Cuốn sách này tập trung vào các chi tiết của việc phân tích dữ liệu mà đôi khi bị sót trong các lớp học và sách giáo trình thống kê truyền thống. Nó dựa một phần vào các bài đăng trên blog của tác giả, tài liệu giảng dạy, và các hướng dẫn như:

Tác giả là một trong những người đồng phát triển Chuyên ngành Khoa học Dữ liệu của Johns Hopkins, chương trình khoa học dữ liệu lớn nhất thế giới đã thu hút hơn 1,76 triệu người tham gia. Cuốn sách này rất hữu ích làm tài liệu đi kèm cho các khóa học giới thiệu về khoa học dữ liệu hoặc phân tích dữ liệu. Đây cũng là một công cụ tham khảo hữu ích cho những người được giao nhiệm vụ đọc và phê phán phân tích dữ liệu.

This book is a translation into Việt Nam of The Elements of Data Analytic Style which was originally written in Tiếng Anh.

About the Authors

Jeffrey Leek
Jeff Leek

Jeff Leek is an Associate Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the intersection of high dimensional data analysis, genomics, and public health. He is the co-editor of the popular Simply Statistics Blog and co-director of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people.

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Table of Contents

  • 1. Giới thiệu
  • 2. Câu hỏi phân tích dữ liệu
  • 3. Dọn dẹp dữ liệu
  • 4. Kiểm tra dữ liệu
  • 5. Phân tích khám phá
  • 6. Mô hình hóa thống kê và suy luận
  • 7. Dự đoán và học máy
  • 8. Nguyên Nhân
  • 9. Phân tích viết
  • 10. Tạo biểu đồ
  • 11. Trình bày dữ liệu
  • 12. Tính khả tái tạo
  • 13. Một số vấn đề về hình thức
  • 14. Danh sách kiểm tra phân tích dữ liệu
  • 15. Nguồn tài nguyên bổ sung

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