Throughout the specialization, you will apply the skills you learn to business problems and data sets. You will have opportunities to build conceptual models of business and simple database models, practice data extraction using SQL, apply predictive and prescriptive analytics to business problems, develop models for decision making, interpret the software output, and finally present results and share findings. We will use basic Excel and the software tool Analytic Solver Platform (ASP), which is a plug-in for Excel. Learners participating in assignments will be able to get free access to the software.
Spécialisation Advanced Business Analytics
Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.
À propos de cette Spécialisation
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!
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5 courses
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Projets
Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.
Certificats
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Vue d'ensemble des projets
Cours
- Intermediate Specialization.
- Some related experience required.
COURS 1
Introduction to Data Analytics for Business
Session à venir : Apr 23- Sous-titres
- English
À propos du cours
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 envVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
Predictive Modeling and Analytics
Session à venir : Apr 23- Sous-titres
- English
À propos du cours
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 formVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Business Analytics for Decision Making
Session à venir : Apr 23- Engagement
- 4 weeks of study, 3-4 hours per week
- Sous-titres
- English
À propos du cours
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 wVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Communicating Business Analytics Results
Session à venir : Apr 23- Sous-titres
- English
À propos du cours
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. ThisVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 5
Advanced Business Analytics Capstone
Session à venir : May 28- Sous-titres
- English
À propos du Projet Final
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 capstoneVous pouvez choisir de suivre seulement ce cours. En savoir plus.
Créateurs
Manuel Laguna
Professor
Dan Zhang
Professor
David Torgerson
Instructor
FAQs
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