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英語

字幕:英語, 韓国語

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Data ModelData QualityData AnalysisSQL

次における5の1コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約18時間で修了

推奨:5 hours/week...

英語

字幕:英語, 韓国語

シラバス - 本コースの学習内容

1
2時間で修了

Data and Analysis in the Real World

Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy

...
9件のビデオ (合計58分), 3 readings, 1 quiz
9件のビデオ
Introduction to the Specialization1 分
0. Introduction to Data & Analysis in Real World1 分
1. Thinking about Analytical Problems6 分
2. Conceptual Business Models6 分
3. The information-Action Value Chain (Part 1)9 分
4. The information-Action Value Chain (Part 2)11 分
5. Real World Events and Characteristics8 分
6. Data Capture by Source Systems10 分
3件の学習用教材
Week 1 Lecture Slides10 分
Week 1 Quiz Answer Key10 分
You can now start part 1 of the final assignment!1 分
1の練習問題
Week 1 Quiz24 分
2
2時間で修了

Analytical Tools

In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.

...
7件のビデオ (合計72分), 3 readings, 1 quiz
7件のビデオ
1. Data Storage and Databases12 分
2. Big Data & the Cloud14 分
3. Virtualization, Federation, and In-Memory Computing8 分
4. The Relational Database14 分
5. Data Tools Landscape11 分
6. The Tools of the Data Analyst9 分
3件の学習用教材
Week 2 Lecture Slides10 分
Week 2 Quiz Answer Key10 分
You can now start part 2 of the final assignment!10 分
1の練習問題
Week 2 Quiz34 分
3
2時間で修了

Data Extraction Using SQL

In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.

...
7件のビデオ (合計56分), 3 readings, 1 quiz
7件のビデオ
1. Introduction to SQL9 分
2. Aggregating and Sorting Data in SQL11 分
3. Extracting Data from Multiple Tables10 分
4. Stacking Data with UNION Command5 分
5. Extending SQL Queries Using Operators10 分
6. Using SQL Subqueries6 分
3件の学習用教材
Week 3 Lecture Slides10 分
Week 3 SQL Assignment Answer Key10 分
You can now start part 3 of the final assignment!10 分
1の練習問題
SQL Coding Assignment20 分
4
5時間で修了

Real World Analytical Organizations

In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.

...
6件のビデオ (合計63分), 2 readings, 2 quizzes
6件のビデオ
1. Analytical Organizations – Roles11 分
2. Analytical Organizations – Structures11 分
3. Data Governance8 分
4. Data Privacy17 分
5. Data Quality11 分
2件の学習用教材
Week 4 Lecture Slides10 分
Week 4 Quiz Answer Key10 分
1の練習問題
Week 4 Quiz34 分
4.6
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Introduction to Data Analytics for Business からの人気レビュー

by KTNov 20th 2017

Great course to start your career in Business Analytics. Rich content and well organised. Thoroughly enjoyed doing this course. Highly recommended this course for Analytics enthusiasts.

by HASep 12th 2017

I love this course. the lecture teach me to have a framework of thinking to become an analyst. Although some course need more references from internet, overall the course is great

講師

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David Torgerson

Instructor

コロラド大学ボルダー校(University of Colorado Boulder)について

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

Advanced Business Analyticsの専門講座について

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!...
Advanced Business Analytics

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