課程介紹 |
課程名稱: |
1102 國立陽明交通大學 科管所碩士學分班商業智慧數據分析與視覺化
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縣 市: |
新竹市
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上課時間: |
六
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起始日期: |
2022/2/12
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結束日期: |
2022/6/11
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上課地點: |
陽明交大新竹光復校區
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相關鏈結: |
https://mot.nycu.edu.tw
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課程介紹: |
With the advent of the era of big data, a variety of data analysis software has emerged. How to process and visualize big data has become a topic that many people care about. Although many data analysis tools emerged at the historic moment, with the launch of Microsoft Power BI software and its increasing market share, Power BI has become a data analysis object favored by many large enterprises.
This course is based on Powe BI software, which explains the basic technical knowledge of Power BI from the shallow to the deep. Even the readers who are not basic can quickly get started. This course also provides a detailed introduction to the smart analysis of fast data implementation. Through the study of this course, you will get rid of the tedious data processing and report preparation in the past, and realize the analysis and sharing of the internal business data of the company, so as to gain insight into the meaning of the data, realize the value of management, and greatly improve management capabilities and management standards.
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教學內容: |
單元主題
內容綱要
What is Power BI
1. The introduction of Power BI
2. The basic functions of Power BI
3. The manipulation of Power BI
Power BI Data Analytics
1. Input and connect database
2. Edit and organize the Big Data I
3. Edit and organize the Big Data II
4. Manage the Big Data
5. Define principles of the Big Data
6. Process the Big Data by using Power BI initially
The Presentation and Practical Implications of Data Analytics
1. Model the Big Data Analytics I
2. Model the Big Data Analytics II
3. Establish DAX for data relationships
4. How to present the results of the Big Data Analytics I
5.How to present the results of the Big Data Analytics II
6.The Applications of the analytics
Apply Power BI Analytic in Sales Department Conditions
1. Sales goals analysis
2. Achievement of performance analysis
3. RFM of members analysis
4. Composition of performance analysis
Apply Power BI Analytic in Product Department Conditions
1. Inventory analysis
2. Pareto analysis
3. Correlation analysis
4. Best-selling models analysis
5. Efficiency of product exhibition analysis
Apply Power BI Analytic in Finance Department Conditions
1. Profit-and-loss balance analysis
2. Profit-margin analysis
Apply Power BI Analytic in Human Resource Department Conditions
1. Personnel structure and turnover analysis
2. New employee and attendance analysis.
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師資介紹: |
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備 註: |
因報名人數不足,採隨班附讀方式辦理。
報名步驟:
請先於頁面右上角「會員」註冊,填寫基本資料,並上傳「最高學歷證件」,完成註冊。
回到課程,請點選「加入購物車」即可選課。
進入頁面右方「購物車」確認個人資料,點選「資料確認無誤」填寫緊急聯絡人姓名、電話、收據抬頭(若毋須報帳請填個人姓名),點「下一步」即完成選課。
等候審核。
再次登入會員,可見到會員圖示呈現您的姓名,點姓名處選「訂單查詢」可查到繳交學分費之專屬轉帳帳號及金額。
完成轉帳,並請保留收據。
科管所蔡小姐
電話:03-5731981
e-mail : mltsai@nycu.edu.tw
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學分班註記: |
是
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學分數: |
3.0
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課程時數: |
54.0
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課程狀態: |
結業
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上架日期: |
2022/1/26 下午 04:15:27
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更新日期: |
2022/7/14 上午 11:13:03
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上課地點 |
名 稱: |
陽明交大新竹光復校區
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簡 介: |
機車請停機車停車棚,不得入校。
汽車請於學校大門口領取臨時停車卷(30元/1小時),
再於班上講買計次停車卷(50元/1次出校門)。
汽車請勿停於紅、藍線,以免被開罰單!
校園地圖:https://www.nctu.edu.tw/wp-content/uploads/2020/05/campus_map_kf_admin.jpg
交通資訊:https://www.nctu.edu.tw/directions-to-nctu |
地 址: |
新竹市東區大學路1001號
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電 話: |
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傳 真: |
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連絡人: |
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email: |
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