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Manuel Laguna, Dan Zhang, and David Torgerson

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.

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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.

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What's inside

Five courses

Introduction to Data Analytics for Business

This course will introduce you to the data analytics practices used in business. We will cover the analytical process, data creation, storage, and access, and how organizations create an environment for analytics to thrive.

Predictive Modeling and Analytics

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. 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.

Business Analytics for Decision Making

(0 hours)
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.

Communicating Business Analytics Results

(0 hours)
The analytical process extends beyond developing models. Communicating results to decision-makers who may not understand analytics is crucial. This course teaches how to convey analytics results effectively, choosing appropriate presentation methods and creating data-analytics stories that provide context and insights.

Advanced Business Analytics Capstone

(0 hours)
The analytics process leads to better decisions and higher business performance. This capstone project simulates this process, taking you from data to analysis, models, and presentation of insights.

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