Deriving accurate and timely insights is dependent on quality data. In this course, instructor Dr. Prashanth H. Southekal provides a solid overview of data and the importance of the data lifecycle, characteristics, and types as well as the key data quality dimensions pertinent to data analytics and data engineering.

Purpose

To equip participants with key data and data engineering concepts and skills needed to acquire and enable quality data for data science and machine learning.

Outcome

• Understand business data and data quality
• Understand the need for data engineering for machine learning and data science
• Learn the key points and concepts for:
  • The Data Lifecycle and benefits of analytics
  • The case for data engineering
  • The key data engineering process
  • Why data transformation matters
  • Processing data for analytics

This Course Includes:

• A 72-minute educational training video
• A 22-question exam
• “Check for Understanding” quizzes after each course section
• Self-paced and on-demand e-learning
• Unlimited course access
• Downloadable documents/resources include:
  • 12 Dimensions of Data Quality
  • Data Analytics Abbreviations
• Course CEUs: 2.0 hours

Individual Course Price: $99
Learning Plan Price: $336
Learning Plan CEUs: 7.0 hours

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!