This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.
What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
Ce cours fait partie de la Spécialisation Advanced Business Analytics
Introduction to Data Analytics for Business
proposé par
À propos de ce cours
4.6
444 notes
Compétences que vous acquerrez
Data ModelData QualityData AnalysisSQL
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
12 heures pour terminer
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 vidéos (Total 58 min), 3 lectures, 1 quiz
9 vidéos
Introduction to the Specialization1 min
0. Introduction to Data & Analysis in Real World1 min
1. Thinking about Analytical Problems6 min
2. Conceptual Business Models6 min
3. The information-Action Value Chain (Part 1)9 min
4. The information-Action Value Chain (Part 2)11 min
5. Real World Events and Characteristics8 min
6. Data Capture by Source Systems10 min
3 lectures
Week 1 Lecture Slides10 min
Week 1 Quiz Answer Key10 min
You can now start part 1 of the final assignment!1 min
1 exercice pour s'entraîner
Week 1 Quiz24 min
Semaine
22 heures pour terminer
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 vidéos (Total 72 min), 3 lectures, 1 quiz
7 vidéos
1. Data Storage and Databases12 min
2. Big Data & the Cloud14 min
3. Virtualization, Federation, and In-Memory Computing8 min
4. The Relational Database14 min
5. Data Tools Landscape11 min
6. The Tools of the Data Analyst9 min
3 lectures
Week 2 Lecture Slides10 min
Week 2 Quiz Answer Key10 min
You can now start part 2 of the final assignment!10 min
1 exercice pour s'entraîner
Week 2 Quiz34 min
Semaine
32 heures pour terminer
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 vidéos (Total 56 min), 3 lectures, 1 quiz
7 vidéos
1. Introduction to SQL9 min
2. Aggregating and Sorting Data in SQL11 min
3. Extracting Data from Multiple Tables10 min
4. Stacking Data with UNION Command5 min
5. Extending SQL Queries Using Operators10 min
6. Using SQL Subqueries6 min
3 lectures
Week 3 Lecture Slides10 min
Week 3 SQL Assignment Answer Key10 min
You can now start part 3 of the final assignment!10 min
1 exercice pour s'entraîner
SQL Coding Assignment20 min
Semaine
45 heures pour terminer
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 vidéos (Total 63 min), 2 lectures, 2 quiz
6 vidéos
1. Analytical Organizations – Roles11 min
2. Analytical Organizations – Structures11 min
3. Data Governance8 min
4. Data Privacy17 min
5. Data Quality11 min
2 lectures
Week 4 Lecture Slides10 min
Week 4 Quiz Answer Key10 min
1 exercice pour s'entraîner
Week 4 Quiz34 min
4.6
109 avis55%
a commencé une nouvelle carrière après avoir terminé ces cours
30%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
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.
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
Enseignant
David Torgerson
InstructorÀ propos de Université du Colorado à 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.
À propos de la Spécialisation 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!
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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