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EMC-DSBDABT - Data Science and Big Data Analytics for Business Transformation (EMC-DSBDABT)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Course Duration : 1 Day

Businesses are increasingly looking to take advantage of Big Data to be competitive. In addition to Data Scientists, organizations need data-savvy business leaders who can identify opportunities to solve business problems using advanced analytics and who have the expertise to lead an analytical team. This course gives business leaders the skills and knowledge to better manage such analytical efforts. It describes how to get started and what is required to effectively run projects which leverage Big Data analytics. Specifically, it addresses: deriving business value from Big Data, leading Data Science projects using a data analytics lifecycle, developing Data Science teams, and driving innovation using analytics. To understand the content, derive value, and successfully complete this course, you should have experience managing teams or leading initiatives and high-level understanding of quantitative methods used in business performance measures.

Who Should Attend

Benefits leaders of functional areas wanting to enhance analytics-driven decision-making, business leaders looking to build a new analytics or Data Science capability, and leaders of business intelligence or operations teams looking to raise the level of analytics. Gain the skills and knowledge to better manage analytical efforts, requirements to effectively run projects that leverage big data analytics, and

Course Certifications

This course is part of the following Certifications:

Prerequisites

To understand the content, derive value, and successfully complete this course, you should have:

  • Experience managing teams or leading initiatives
  • High-level understanding of quantitative methods used in business performance measures

Course Objectives

Gain the skills and knowledge to better manage analytical efforts, requirements to effectively run projects that leverage big data analytics, and deriving business value from big data using data analytics lifecycle and driving innovation using analytics.

Course Content

Module 1: Introduction

  • Overview of Data Science and Big Data analytics

  • Business drivers for advanced analytics

  • Stages of analytical maturity in an organization

Module 2: Deriving Business Value from Big Data

  • Business value of a Data Science project

  • Overview of key advanced analytic techniques and their applications

  • Big Data tools and technologies

Module 3: Leading Analytic Projects

  • Overview of data analytics lifecycle

  • Frame a business problem as an analytics problem

  • Four main deliverables in an analytics project

Module 4: Developing Data Science Teams

  • Develop an analytic team, roles and skill sets

  • Four approaches to develop Data Science capabilities

  • Three organizational models for Data Science teams

Module 5: Driving Innovation via Analytic Projects

  • Cultivate characteristics of visionary thinking to apply to Data Science team

  • Incorporate change management as part of implementing a data-driven appraoch to decision-making

  • Leverage small wins to change how the organization approaches problems

Course ID: EMC-DSBDABT


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