課程簡介
第一天:
模組 1:KNIME 分析平臺:概述
- 安裝
- 啟動和自定義 KNIME Analytics Platform
- 節點、數據和工作流
- 數據科學週期
模組 2:資料 Access
- 從檔中讀取數據
- AccessREST 服務
模組 3: ETL 和數據操作
- 行和列過濾
- 聚合器
- 連接和串聯
- 轉型:轉換、替換、標準化和新功能生成
- 時間序列分析的數據準備
第2天:
模組 4: 匯出資料
- 寫入檔案
- 生成報告
模組 5:Data Visualization
- 互動式單變數視覺探索
- 互動式多變數視覺探索
- 高級可視化功能
模組 6:Predictive Analytics 使用 KNIME
- Data Mining 基本概念
- 回歸
- 決策樹系列
- 模型評估
第三天:
模組 7: 控制流量
- 工作流參數化:流變數
- 重新執行工作流部件:迴圈
- 清理工作流
模組 8:動手實踐 KNIME 基於分析平臺的案例研究
最低要求
推薦
- 對理解數據的基本理解。
- 具有基礎數據處理經驗。
觀眾
- 數據分析師
- 數據科學家
- 業務分析師
客戶評論 (4)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra
Marija Hornis Dmitrovic - Marija Hornis
Course - Data Science for Big Data Analytics
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.