Über diesen Kurs
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Ca. 18 Stunden zum Abschließen

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Untertitel: Englisch, Koreanisch

Kompetenzen, die Sie erwerben

Data ModelData QualityData AnalysisSQL

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 18 Stunden zum Abschließen

Empfohlen: 5 hours/week...


Untertitel: Englisch, Koreanisch

Lehrplan - Was Sie in diesem Kurs lernen werden

2 Stunden zum Abschließen

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 Videos (Gesamt 58 min), 3 Lektüren, 1 Quiz
9 Videos
Introduction to the Specialization1m
0. Introduction to Data & Analysis in Real World1m
1. Thinking about Analytical Problems6m
2. Conceptual Business Models6m
3. The information-Action Value Chain (Part 1)9m
4. The information-Action Value Chain (Part 2)11m
5. Real World Events and Characteristics8m
6. Data Capture by Source Systems10m
3 Lektüren
Week 1 Lecture Slides10m
Week 1 Quiz Answer Key10m
You can now start part 1 of the final assignment!1m
1 praktische Übung
Week 1 Quiz24m
2 Stunden zum Abschließen

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 Videos (Gesamt 72 min), 3 Lektüren, 1 Quiz
7 Videos
1. Data Storage and Databases12m
2. Big Data & the Cloud14m
3. Virtualization, Federation, and In-Memory Computing8m
4. The Relational Database14m
5. Data Tools Landscape11m
6. The Tools of the Data Analyst9m
3 Lektüren
Week 2 Lecture Slides10m
Week 2 Quiz Answer Key10m
You can now start part 2 of the final assignment!10m
1 praktische Übung
Week 2 Quiz34m
2 Stunden zum Abschließen

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 Videos (Gesamt 56 min), 3 Lektüren, 1 Quiz
7 Videos
1. Introduction to SQL9m
2. Aggregating and Sorting Data in SQL11m
3. Extracting Data from Multiple Tables10m
4. Stacking Data with UNION Command5m
5. Extending SQL Queries Using Operators10m
6. Using SQL Subqueries6m
3 Lektüren
Week 3 Lecture Slides10m
Week 3 SQL Assignment Answer Key10m
You can now start part 3 of the final assignment!10m
1 praktische Übung
SQL Coding Assignment20m
5 Stunden zum Abschließen

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 Videos (Gesamt 63 min), 2 Lektüren, 2 Quiz
6 Videos
1. Analytical Organizations – Roles11m
2. Analytical Organizations – Structures11m
3. Data Governance8m
4. Data Privacy17m
5. Data Quality11m
2 Lektüren
Week 4 Lecture Slides10m
Week 4 Quiz Answer Key10m
1 praktische Übung
Week 4 Quiz34m
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Top reviews from Introduction to Data Analytics for Business

von 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.

von 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



David Torgerson


Über University of Colorado Boulder

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....

Über die Spezialisierung Advanced Business Analytics

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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