你會怕電腦程式語言嗎？你又想了解巨量/大數據(Big Data)與政府的開放資料open data嗎? 沒錯就是這個課程你不需要有任何電腦程式語言基礎，老師會以深入淺出的方式，帶你／妳進入電腦世界．資料科學中的「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。Are you afraid of computer programming language? Do you want to know about the huge amount of Big Data and the government's open data? That's right, you don't need to have any language foundation for this course. The teacher will take you/you into the computer world in a deep and clear way. "Big Data" in data science has caused huge waves in our lives. After Cloud Computing, it has become the hottest trend in the academic world and technology industry. It seems that every company is conducting relevant research, and three sentences are not inferior to large data. In the era of large data, statistics and data analysis were the fundamentals. Data Scientist or Quantitative Analyst's majors include statistics, computer science and mathematics. In the past, these talents have been dying to work in the Huaer Street, but more of them have been exposed to the trend brought by Big Data. Now all walks of life are looking for engineers and data experts with backgrounds in quantitative analysis and statistical analysis. This course will use the common data analysis software and programming language on the market - R language as the basic course for entering a huge amount of data analysis. I believe that it will be impossible to get into a large number of data analysis.
講義
Talk about
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業與出席作業與出席 Work and attendance |
40 | |
| 期中考期中考 Midterm exam |
30 | |
| 期末考期末考 Final exam |
30 |
