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This is a bundled training package. It contains training for each of the bundled items below:

Course Price
Big Data Fundamentals $74.95
Big Data Interpretation $74.95

Bundle Price: $99.00
Total Savings: $50.90

Big Data Fundamentals

You've probably heard of big data, but what exactly is it, and how can it be used to give your organization a competitive advantage? In this course you'll learn about the key characteristics of big data, the benefits it can provide, and the types of data it incorporates. You'll also be introduced to the different ways it can be applied, depending on your market sector. This course also covers some fundamental security challenges of big data and some best practices for managing big data through an effective information lifecycle.

Learning Objectives
  • Recognize the key characteristics of big data
  • Identify the benefits of big data to organizations
  • Distinguish between the two types of data source in big data
  • Recognize applications of big data by market sector
  • Identify best practices for securing big data
  • Recognize the phases of the data life cycle

Big Data Interpretation

Utilizing big data can lead to significant gains for your organization such as lowered operating costs, better decision-making, and innovate new product development. But you have to know how to effectively identify, gather, analyze and use your data to reap the benefits. In this course you'll learn about the data analysis process. This course also introduces you to the most common basic and advanced analytics methods, including data mining. This course also covers some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.

Learning Objectives
  • Sequence the five steps of the data analysis process
  • Identify the four data analysis categories
  • Recognize basic data analysis methods
  • Recognize advanced data analysis methods
  • Recognize some of the most common big data tools used for data storage, management, cleaning, and mining activities
  • Recognize some of the most common big data tools used for data analysis, visualization, integration, and collection activities
  • Identify the challenges associated with big data analysis
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Big Data Basics e-learning bundle
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