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Corporate Intrapreneurship

Course Title: Learning From Big Data

Venue: ESAMI Headquarters, Arusha, TANZANIA  
Learning Duration:  1 Week 
Starting: 10 Sep 2018  Ending: 14 Sep 2018
Fees: 1150 USD
Payment Details: To cover tuition and training materials only.

COURSE OVERVIEW

Modern organizations are experiencing a data revolution. Traditional intuitive decision making is replaced by visualizing and interpreting the vast amount of digitalized information. It is the era of real-time analysis of data that is big, unstructured and dynamic. Managers of modern organizations need a sound understanding of the potential of data to spot new business opportunities. Making the most of your data is the main source of competitive advantage. In this course we will demystify "big data" and teach you how to translate the mass of data into sound business decisions. This workshop will train participants in the core concepts of big data analysis. The workshop will focus on the intuitive logic behind ways of grouping objects, detecting patterns and on visualizing and interpreting the results. No math. Intuitive understanding and tools. This is where managers and data analysts meet!

 

HOW PARTICIPANTS WILL BENEFIT

At the end of the course, participants will be able to:

  • Explain the fundamentals of data science & business analytics.

  • Unveil the hidden powers of data and information, from exploration to understanding and prediction.

  • Use big data to add value to your organization.

  • Build on the fundamentals to venture into real-life challenges to your organization.

  • Visualize information and use it as a basis for operational and strategic discussions in your organization.

  • Present the findings in a clear and convincing way.

 

WHO SHOULD ATTEND?

This course is aimed at managers and business analysts working at the intersection of information & management, who want to be ready for the future.

 

TOPICS INCLUDE

  • Data science: what is it? why do we need it? how does it benefit your organization?

  • R as a low-cost and powerful set of tools.

  • Supervised learning: finding the magical formula to assign objects to known groups.

  • Unsupervised learning: exploring the data to find homogenous groups.

  • Market basket analysis.

  • Real-life cases from the organization of the participants.

Course No:  2018-09-10-3-17-1978

Apply Online

PROGRAMME ANNOUNCEMENTS

ESAMI DOCTORAL & DEGREE PROGRAMMES

14 May 2018
    BUSINESS SCHOOL CALENDAR FOR 2018   ESAMI Business School is inviting applications for its degree programmes scheduled to commence as below.   S/N VEN...
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