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Business Analytics & Digital Entrepreneurship

10th July – 15th August, 2018

Business Analytics

Course Description

This course introduces students to business analytics which is the discovery and communication of meaningful patterns of data generated in a business context. The vast amount of internal as well as external business data has created unprecedented opportunities as well as challenges for today’s enterprises. Firms are increasingly relying on business analytics in their decision processes in order to make use of this data and gain a competitive advantage in the market. In fact the ability to understand the role of data analytics in identifying business opportunities and/or solving business problems has become a key asset for today’s managers.

This course provides a comprehensive introduction to the concepts, techniques and applications of business analytics. The material used in this course will provide introduction to various real world business analytics applications from a managerial perspective and hands-on practices of Python, Excel and Tableau software.

It covers elements of data discovery and collection, data quality, analysis, modeling and generalizing data analytics results to a wide variety of business functions, including customer lifetime value analysis, customer acquisition and retention, market basket analysis, RFM analysis, data dashboards and customer recommendation systems.

The course consists of a mix of lectures, caselet discussions, Python/Excel tutorials, class assignments and a team project. All class sessions will be interactive requiring the student to actively participate in and contribute to the class.

Course Objective

After taking this course, students should be able to:

1. Ask the right questions about data, clearly define the business objectives and reveal opportunities in solving these objectives through business analytics.
2. Visualize data (using Tableau) and narrate a logical/reasonable story based on data analysis outputs.
3. Know when and how to apply the main techniques of descriptive, prescriptive and predictive analytics.
4. Learn about data-mining techniques at the level of practice. This means that the student will know about the benefits and limits of supervised & un-supervised algorithms, their required inputs and performance evaluation without delving into the mathematical details.
5. Understand how to develop data dashborads and design customer recommendation systems.
6. Use Python for basic data mining techniques.

 

10th July – 15th August, 2018

Digital Entrepreneurship

Course Description

We are living in an era of digital disruption. Companies like Amazon, Alibaba, Careem and Uber are upending traditional industries including retail and transportation while creating new opportunities for investment and value creation. Capitalizing on these opportunities involves creating new startups that leverage digital technologies to create and exploit markets and industries. This is what we mean by the term ‘digital entrepreneurship’. Familiarizing students with all the steps of the process of launching these startups, including idea generation, marketing, finance and team building is the hallmark of this course.

Although digital entrepreneurship shares some features of traditional new venture management including forming teams, finding sources for financing, business model analysis etc., it also differs in important ways since the high-tech startups are founded around new digital technologies. For this course, the students need to keep an open mind, think outside the box, re-evaluate their own views of new venture creation, and intellectually challenge their peers. Entrepreneurship is a way of thinking and acting. How are you thinking and acting?

Students will require a greater understanding of the entrepreneurial process – a process of opportunity recognition, resource marshalling, and team building driven by digital technologies, creativity and leadership. When process and passion collide, the seemingly unconnected become connected. New ventures are born, stagnating businesses grow, and failing businesses are reinvented.

Course Objective

In this course we would like you to pursue your dreams and the course experience will help you in overcoming the obstacles you will face before reaching your dream.

Specifically, after taking this course, students should be able to:

1. Understand the differences between the traditional and the new digital economy and the opportunities that digital technologies provide not only for new ventures but also for creating markets, disrupting competitors, and creating growth.
2. Present his/her own innovative idea for feedback and evaluation (digital rocket pitch).
3. Identify and pursue a digital business opportunity with a team of motivated peers.
4. Learn how to generate new ideas and how to transform them into digital products and/or services.
5. Ponder some fundamental issues related to launching a high-tech startup and learn to assess the risks, challenges and rewards in venturing out.
6. Develop a comprehensive business plan for a new digital venture.