3330 - 自然:大數據資料分析運用導論 英授 Taught in English

Introduction to Big Data

教育目標 Course Target

此課程為線上課程十四周,實體上課為四周,其餘為線上課程教授與作業繳交.(第一二週為實體上課請務必到課否則退選,因為前二週老師需要帶領學生實作與了解日後如何線上學生.請務必配合 )「巨量/大數據(Big Data)」在我們的生活裡已經掀起滔天巨浪,繼雲端運算(Cloud Computing)之後,儼然成為學術界跟科技業中最熱門的潮字,似乎每家公司都在進行有關的研究,三句不離大數據。大數據時代,統計與資料分析是根本中的根本。數據專家(Data Scientist)或量化分析師(Quantitative Analyst)的專業包含了統計學、電腦科學和數學,過去這些人才都搶著要進華爾街工作,但多虧了 Big Data 帶來的風潮,現在各行各業都在尋找擁有量化分析、統計學背景的工程師、數據專家。本課程將以市面上的常見的二種資料分析軟體及程式語言- R語言做為進入巨量資料分析的初階基本課程,相信要進大數據一行不成問題。

This course is an online course for fourteen weeks, physical classes for four weeks, and the rest consists of online course teaching and assignment submission. (The first two weeks are physical classes. Please be sure to attend class otherwise you will withdraw, because in the first two weeks the teacher needs to lead students to practice and understand how to study online in the future. Please cooperate) "Big Data" has made huge waves in our lives. After cloud computing (Cloud Computing), it has become the hottest trend word in academia and technology industry. It seems that every company is conducting related research, and big data is inseparable. In the era of big data, statistics and data analysis are the foundation of the foundation. The majors of Data Scientists or Quantitative Analysts include statistics, computer science, and mathematics. In the past, these talents rushed to work on Wall Street. But thanks to the trend brought by Big Data, all walks of life are now looking for engineers and data experts with backgrounds in quantitative analysis and statistics. This course will use two common data analysis software and programming languages ​​​​on the market - R language as an initial basic course to enter the analysis of massive data. I believe that it will not be a problem to enter the big data field.

參考書目 Reference Books

R 軟體資料分析基礎與應用 (旗標書局)

作者:Jared P. Lander 著、鍾振蔚譯
書號:F8736

Basics and Applications of R Software Data Analysis (Qibiao Bookstore)

Author: Jared P. Lander, translated by Zhong Zhenwei
ISBN: F8736

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
期中考
midterm exam
30
期末考
final exam
30
線上作業與收看教學影片
Online homework and watching instructional videos
40

授課大綱 Course Plan

點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan

查看授課大綱 View Course Plan

相似課程 Related Courses

無相似課程 No related courses found

課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 3330
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Tuesday/10,11,12
  • 授課教師 Teacher:
    姜自強
  • 修課班級 Class:
    共必修1-4
  • 選課備註 Memo:
    遠距課程,國貿系1484雙掛課程,資工資管國貿不得選;實體上課週次請見課綱
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 147 人

交換生/外籍生選課登記

請點選上方按鈕加入登記清單,再等候任課教師審核。
Add this class to your wishlist by clicking the button above.