Deloitte School of Analytics – Course outline

 

 

Practical Application of Machine Learning and Artificial Intelligence

Overview

Machine learning has been an experimental concept and the object of fantasy and entertainment for many years. With advancements in hardware and software technology and the availability of big data, harnessing the power of machine learning to make intuitive, human like decisions has become a reality in recent years. This progress has excited the interest of leading technology companies and investors, who have made significant investment in machine learning.

We will deep dive what being business ready for the future means by gaining practical experience in machine learning.

 

 

 

Geared to

  • Data analysts, statisticians, engineers, and computer scientists who aspire to become data scientists

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Data Architecting for the Future: Agile Logical Data warehouse Architecture

Overview

The last three decades have created many tipping points in technology that have evolved the growth of data management including data warehousing. Organisations have invested millions into creating data warehouses and these investments need to be leveraged for solving the right problems.

We look at the concept and evolution of the data warehousing, big data and cloud, and how you can incorporate these into your organisation. We unpack the traditional vs new techniques in data warehousing debate; as well as their practicality and applicability to your organisation. This course will provide clarity on how new data technologies can integrate with traditional data warehouses.

 

Geared to

  • Business intelligence specialists and data warehouse designers who want to know about all the new developments.
  • Data scientists, data analysts, and business analysts who use and work with data every day and who want to know which of all these developments may help them.
  • Technology planners, technical architects, and enterprise architects who need to know how the evaluate all these new developments on their technical merits.
  • Database developers and database administrators who need to know what the impact is of Hadoop and Spark on database aspects.
  • IT Managers who need to be informed about all these new developments to see what the potential business benefits are.

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Demystifying Data Science

 

 

 

Overview

If you were to ask a hundred people what Data Science is – and more importantly, to state its value – you’d likely get a hundred different answers. Data Science is too important to be so elusive.  This course remedies that by defining the value and explaining the technology behind it.

 

All managers need a working knowledge of the latest trends in technology to be effective. Likewise, data science practitioners must seek a better understanding of the strategic value of the technology for which they are responsible. Thus, this course was developed to strike that balance, and to be equally useful for both leadership and practitioners.

 

Those still struggling to find a valid rationalisation of Data Science and the confidence to make clear decisions about its use will find answers here. This event will distinguish what’s real and what’s not, and what makes data science worth the investment.  This course gives a high-level, yet comprehensive overview of data science and associated analytics, and methodically addresses each of these issues from a strategic, value-focused perspective.

 

Geared to

  • Executives, directors and managers struggling to understand the reality, measure the value, overcome the challenges, and realize the rewards of data science
  • Business Intelligence leaders seeking the rationalization for data science initiatives
  • Analytic professionals trying to understand the differences in data analysis and data science
  • Data analysts, statisticians, engineers, and computer scientists who aspire to become data scientists
  • The curious who are tired of being bombarded by the Data Science market buzz and frustrated at not understanding it sufficiently to make reasoned decisions about its use

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