Data Analytics for Business Bootcamp 专项课程

于 2月 27 开始

Data Analytics for Business Bootcamp 专项课程

Gain Real-World Business Analytics Skills

Leverage data to solve complex business problems

本专项课程介绍

The Data Analytics for Business 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!

制作方:

courses
5 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

项目概览

课程
Intermediate Specialization.
Some related experience required.
  1. 第 1 门课程

    Introduction to Data Analytics for Business

    即将开课的班次:2月 27 — 4月 3。
    字幕
    English

    课程概述

    This course will expose you to the data analytics practices executed in the business. We will explore such key areas of data analytics as the analytical process, how data is created, stored, and 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 analytical methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
  2. 第 2 门课程

    Predictive Modeling and Analytics

    即将开课的班次:2月 27 — 4月 3。
    字幕
    English

    课程概述

    This course will expose you to the data analytics practices executed in the business. We will explore such key areas of data analytics as the analytical process, how data is created, stored, and 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 analytical methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.
  3. 第 3 门课程

    Business Analytics for Decision Making

    即将开课的班次:2月 27 — 4月 3。
    课程学习时间
    4 weeks of study, 3-4 hours per week
    字幕
    English

    课程概述

    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 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.
  4. 第 4 门课程

    Communicating Business Analytics Results

    即将开课的班次:2月 27 — 4月 3。
    字幕
    English

    课程概述

    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 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.
  5. 第 5 门课程

    Data Analytics for Business Capstone

    于 February 27, 2017 开始
    字幕
    English

    课程概述

    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. You will be able to choose one capstone project from three different options. This will allow you to adapt your learning experience to an area of business that is close to your professional background and interests.

制作方

  • 科罗拉多大学波德分校

    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.

  • Manuel Laguna

    Manuel Laguna

    Professor
  • Dan Zhang

    Dan Zhang

    Professor
  • David Torgerson

    David Torgerson

    Instructor

FAQs

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