Advanced Business Analytics 專項課程

Gain Real-World Business Analytics Skills。 Leverage data to solve complex business problems.

本專項課程介紹

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!

製作方：

5 courses

按照建議的順序或選擇您自己的順序。

項目

旨在幫助您實踐和應用所學到的技能。

證書

在您的簡歷和領英中展示您的新技能。

項目概覽

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.

課程

Intermediate Specialization.: Some related experience required.

第 1 門課程
Introduction to Data Analytics for Business
字幕
英語（English）, 韓語
課程概述
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 enviro
您可以選擇只參加本課程。 了解更多。
第 2 門課程
Predictive Modeling and Analytics
字幕
英語（English）, 韓語
課程概述
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
您可以選擇只參加本課程。 了解更多。
第 3 門課程
Business Analytics for Decision Making
課程學習時間
4 weeks of study, 3-4 hours per week
字幕
英語（English）, 韓語
課程概述
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
您可以選擇只參加本課程。 了解更多。
第 4 門課程
Communicating Business Analytics Results
字幕
英語（English）, 韓語
課程概述
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 de
您可以選擇只參加本課程。 了解更多。
第 5 門課程
Advanced Business Analytics Capstone
當前班次：Nov 12
字幕
英語（English）, 韓語
畢業項目介紹
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 pr
您可以選擇只參加本課程。 了解更多。

製作方

Set in one of the world's most inspiring and entrepreneurial learning environments, the University of Colorado Boulder enables each member of our community to reach their potential and to Be Boulder through an extraordinary range of challenging academic, research and service opportunities.
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.