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!
Spezialisierung Advanced Business Analytics
Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.
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Über dieses Spezialisierung
Kompetenzen, die Sie erwerben
Data AnalysisData Visualization (DataViz)Mathematical OptimizationSQL
So funktioniert das Spezialisierung
Kurse absolvieren
Eine Coursera-Spezialisierung ist eine Reihe von Kursen, in denen Sie eine Kompetenz erwerben. Um zu beginnen, melden Sie sich direkt für die Spezialisierung an oder überprüfen Sie deren Kurse und wählen Sie denjenigen Kurs aus, mit dem Sie beginnen möchten. Wenn Sie einen Kurs abonnieren, der Bestandteil einer Spezialisierung ist, abonnieren Sie automatisch die gesamte Spezialisierung Es ist in Ordnung, wenn Sie nur einen Kurs absolvieren möchten — Sie können Ihren Lernprozess jederzeit unterbrechen oder Ihr Abonnement kündigen. Gehen Sie zu Ihrem Kursteilnehmer-Dashboard, um Ihre Kursanmeldungen und Ihren Fortschritt zu verfolgen.
Praxisprojekt
Jede Spezialisierung umfasst ein Praxisprojekt. Sie müssen das Projekt/die Projekte erfolgreich abschließen, um die Spezialisierung abzuschließen und Ihr Zertifikat zu erwerben. Wenn die Spezialisierung einen separaten Kurs für das Praxisprojekt umfasst, müssen Sie zunächst alle anderen Kurse abschließen, bevor Sie damit beginnen können.
Zertifikat erwerben
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Es gibt 5 Kurse in dieser Spezialisierung
Kurs1
Introduction to Data Analytics for Business
4.6
459 Bewertungen
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.
Kurs2
Predictive Modeling and Analytics
3.8
193 Bewertungen
Welcome to the second course in the Data Analytics for Business specialization!
This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business.
You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning.
The expected prerequisites for this course include a prior working knowledge of Excel, introductory level algebra, and basic statistics.
Kurs3
Business Analytics for Decision Making
4.5
205 Bewertungen
In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.
Kurs4
Communicating Business Analytics Results
4.3
108 Bewertungen
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.
Kurs5
Advanced Business Analytics Capstone
4.4
15 Bewertungen
The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights.
In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results.
For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project.
In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance.
Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio.
In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to follow the principles we covered in the courses in preparing your presentation.
Dozenten
David Torgerson
Instructor
Dan Zhang
ProfessorLeeds School of Business
Manuel Laguna
ProfessorLeeds School of Business
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.
Häufig gestellte Fragen
Wie erfolgen Rückerstattungen?
Kann ich mich auch nur für einen Kurs anmelden?
Ja! Um loszulegen, klicken Sie auf die Kurskarte, die Sie interessiert, und melden Sie sich an. Sie können sich anmelden und den Kurs absolvieren, um ein teilbares Zertifikat zu erwerben, oder Sie können als Gast teilnehmen, um die Kursmaterialien gratis einzusehen. Wenn Sie einen Kurs abonnieren, der Teil einer Spezialisierung ist, abonnieren Sie automatisch die gesamte Spezialisierung. Auf Ihrem Kursteilnehmer-Dashboard können Sie Ihren Fortschritt verfolgen.
Ist finanzielle Unterstützung möglich?
Kann ich kostenlos an diesem Kurs teilnehmen?
Findet dieser Kurs wirklich ausschließlich online statt? Muss ich zu irgendwelchen Sitzungen persönlich erscheinen?
Dieser Kurs findet ausschließlich online statt, Sie müssen also zu keiner Sitzung persönlich erscheinen. Sie können jederzeit und überall über das Netz oder Ihr Mobilgerät auf Ihre Vorträge, Lektüren und Aufgaben zugreifen.
Wie lange dauert es, die Spezialisierung abzuschließen?
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in four to five months.
What background knowledge is necessary?
Ideally, your background would include some basics of data manipulation, statistics, and models for decision making. Learners must have working knowledge of Excel and some basic understanding of high-level programming instructions. This is not a computer science specialization but students will be learning some basic commands in SQL.
Do I need to take the courses in a specific order?
Although the four courses in the specialization can be taken separately, they are deeply integrated around their lessons. We recommend taking them in the order that they are offered.
Erhalte ich akademische Leistungspunkte für den Abschluss der Spezialisierung?
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
What will I be able to do upon completing the Specialization?
At the end of this specialization, you will be able to:
Apply data analytics to business problems. This involves the entire business analytics process, from data capturing, extraction, analysis, modeling, and presentation of findings.
Extract and manipulate data stored in large databases using SQL.
Identify and apply statistical models that are commonly used to implement descriptive analytics.
Apply predictive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models based on regression, simulation, and data mining.
Apply prescriptive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models pertaining to linear programming, integer programming, and simulation-optimization methods.
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