Business Analytics
Overview
Tremendous amounts of data are being gathered and stored, from individual medical records to web traffic data for large Internet online stores. At the same time, ever faster computers and optimization methods have become available to transform this data into information for better decision-making. There has been an increasing interest in Business Analytics over the past few years when organizations are adopting Business Analytics to find solutions to critical business issues.
According to U.S. Bureau of Labor Statistics (BLS) data, employment of management analysts – including business analysts – is expected to soar in coming years. Job growth will occur as industry and government continue to demand the expertise of these professionals to improve performance. With this profession’s high earnings potential, competition for jobs should be strong. Business analysts with specialized experience or an advanced degree are likely to enjoy the best career prospects.
This certificate program is designed for professionals with either a business or computing background to acquire knowledge of statistical techniques for analytics, understand how to articulate a business problem and convert it into a viable analytics question, apply data visualization for exploratory analysis, evaluate various analytical approaches and select the most appropriate for the given problem, build analytics solutions and assess their effectiveness across a range of functional areas.
Description: This course introduces machine learning algorithms in classification, clusting, and association rule learning. With practical case-studies, students apply appropriate algorithms to perform data mining tasks, such as to predict risky bank loans, find a specific market segment, and identify frequently purchased groceries, so that to understand data at a deeper level and gain knowledge from the data.
Prerequisites: Basic understanding of computer programming. (Students will need to bring their own laptop computers to class.)
Description: As competition accelerates in today's Internet market, understanding and optimizing digital design, usage and online user experience through digital analytics has become a critical success factor for all businesses. Digital analytics refers to the measurement, collection, analysis, and reporting of Internet data from the primary business and their competitors for this purpose. In this course, you will learn: key concepts, strategies and various reports, including audience, acquisition, behavior, and conversion reports for diverse digital platforms, including websites, mobile apps, social media and Internet of Things/IoTs, and for various business models, including eCommerce, SaaS, and content websites.
Prerequisites: Basic personal computing skills and Internet knowledge. (Students will need to bring their own laptop computer to class.)
Description: With the exponential growth and availability of data in terms of volume, variety, and velocity, traditional methods of data analytics fail to provide timely results for organizations. Hence, there is a need for advanced methods of data analytics that are customized for big data. In this course you will learn about different methods of data analytics and acquire necessary skills to extract knowledge from big data.
Prerequisites: Basic understanding of database and data analysis. (Students will need to bring their own laptop computer to class.)
Awarded Certificate
The Business Analytics Certificate will be awarded to individuals who successfully complete all three courses. Individual course certificates will be awarded to those who successfully complete the individual courses.