課程信息

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初級
完成時間大約為14 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • How to design Data Science workflows without any programming involved

  • Essential Data Science skills to design, build, test and evaluate predictive models

  • Data Manipulation, preparation and cclassification and clustering methods

  • Ways to apply Data Science algorithms to real data and evaluate and interpret the results

可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
初級
完成時間大約為14 小時
英語(English)
字幕:英語(English)

提供方

加州大学圣地亚哥分校 徽標

加州大学圣地亚哥分校

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 4 小時

Welcome to the world of Big Data

完成時間為 4 小時
7 個視頻 (總計 38 分鐘), 4 個閱讀材料, 2 個測驗
7 個視頻
Welcome to Module 127
First Joke19
Big Data Characteristics and Applications5分鐘
Big Data Applications7分鐘
Big Data Analytics8分鐘
Introduction to Data Mining11分鐘
4 個閱讀材料
Big Data Impact and Challanges30分鐘
Big Data Analytics: Applications, Prospects and Challenges45分鐘
10 signs of Data Science Maturity45分鐘
NIST Big Data interoperability Framework (NBDIF)1小時
2 個練習
Big Data Quiz15分鐘
Module 1 quiz20分鐘
2

2

完成時間為 5 小時

Introduction to KNIME Analytics Platform

完成時間為 5 小時
10 個視頻 (總計 40 分鐘), 11 個閱讀材料, 5 個測驗
10 個視頻
Module 2 Joke11
Introduction to KNIME Analytics Platform3分鐘
Install KNIME Analytics Platform1分鐘
Exploring KNIME Workspace6分鐘
Creating new workflows in KNIME5分鐘
My First KNIME Workflow Exercise2分鐘
Node Operations in KNIME5分鐘
Data Types and Formats in KNIME6分鐘
Creating Analytics Workflow in KNIME8分鐘
11 個閱讀材料
KNIME Analytics Platform Web site link20分鐘
Download KNIME10分鐘
KNIME Installation Guide20分鐘
KNIME getting Started10分鐘
KNIME workbench guide30分鐘
Example Workflows15分鐘
KNIME Whitepaper30分鐘
adult.csv data set10分鐘
KNIME Book Chapter 130分鐘
Autos Data Set10分鐘
Iris.csv data10分鐘
5 個練習
Install KNIME Quiz15分鐘
Exploring KNIME15分鐘
Node Operations Quiz
Filtering Data Quiz20分鐘
Filtering Workflow Assignment45分鐘
3

3

完成時間為 1 小時

Data Manipulation and Visualization

完成時間為 1 小時
14 個視頻 (總計 42 分鐘)
14 個視頻
Intro to Data Manipulation in KNIME5分鐘
Rule Engine3分鐘
String Manipulation3分鐘
String Replacer2分鐘
String Splitting and Column Combining2分鐘
Column Resorter2分鐘
Type Conversions2分鐘
Database Operations2分鐘
Scatterplot4分鐘
Color Manager in KNIME4分鐘
Line Plot2分鐘
Parallel Coordinate Plot2分鐘
Bar Charts3分鐘
2 個練習
Rule Engine Quiz
Module 3 Assignment
4

4

完成時間為 3 小時

Machine Learning

完成時間為 3 小時
8 個視頻 (總計 63 分鐘), 3 個閱讀材料, 3 個測驗
8 個視頻
Module 4 Joke42
Introduction to Data Science13分鐘
Introduction to Decision Tree Induction11分鐘
Building Decision Tree Model in KNIME5分鐘
Decision Tree Workflow15分鐘
Intro to K-means Clustering8分鐘
K-means Clustering In KNIME7分鐘
3 個閱讀材料
Decision Tree Reading30分鐘
Decision Trees Examples in KNIME20分鐘
Book Chapter on Clustering45分鐘
3 個練習
Decision Trees Quiz
Decision Tree Assignment45分鐘
Clustering Assignment

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