Course

Course Summary
Credit Type:
Course
ACE ID:
SKIL-0244
Organization:
SkillSoft Corporation
Location:
Online
Length:
18 hours
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Data Fundamentals
Description

Objective:

The course objective is to raise the awareness of managers, leaders, and decision-makers on data and modern data technologies. It provides a comprehensive overview of modern data sources, infrastructures, and technologies that are emerging for addressing a wide range of business needs. This course focuses on widely adopted data technologies, tools, frameworks, and platforms at a high level for enabling the managers and leaders to comfortably get engaged in data projects. Learners also understand various data compliance issues, data governance, and data strategies to be adopted for making better data-driven decisions that are critical for business.

Learning Outcomes:

  • Differentiate between different data sources, formats, data processing methods, and various terms related to data
  • Explain the advantages and limitations of traditional data architectures and processing methods
  • Justify the need in organizations for shifting to modern data architectures
  • Provide solutions for big data problems and select the applications that need big data tools and frameworks
  • Use a suitable NoSQL database for a given business problem
  • Apply the right type of data analytics for business problems and use tools, technologies, and frameworks for building big data applications
  • Solve business problems with data mining
  • Choose the right cloud data platforms based on their characteristics and benefits and use cases
  • Compare popular data lakes and modern data warehouse architectures based on their capabilities and use cases with big data technologies
  • Choose the best governance strategies for data management based on the goals of data governance and best practices

General Topics:

  • Data Nuts and Bolts
  • Traditional Data Architectures
  • New Age Data Infrastructures
  • Big Data Concepts and Terminology
  • Non Relational Data
  • Big Data Analytics
  • Data Mining and Decision Making
  • Cloud Data Platforms
  • Data Lakes and Modern Data Warehouses
  • Modern Data Management
Instruction & Assessment

Instructional Strategies:

  • Computer Based Training
  • Laboratory
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials