Data Wrangling or data cleaning consists of preparing and validating existing data to improve its quality for deriving insights. In this course, instructor Dr. Prashanth H. Southekal cover multiple data wrangling techniques for data engineering.

Purpose

To equip participants around key concepts of data wrangling or data cleaning so they can learn about preparing and validating existing data to improve its quality for deriving insights.

Outcome

• Learn the basics of data integration – the first component of Data Engineering
• Understand the importance of data wrangling – the second component of Data Engineering
• Apply data wrangling techniques such as:
  • Data imputation – Hot deck, Cold deck, Regression, Interpolation & Extrapolation
  • Numerical analysis – Quadratic and Cubic
  • Data conversion
  • Sampling

This Course Includes:

• A 77-minute educational training video
• A 19-question exam
• “Check for Understanding” quizzes after each course section
• Self-paced and on-demand e-learning
• Unlimited course access
• Downloadable documents/resources include:
  • Data Science Cheat Sheet
  • Types of Variables in Data Science
• Course CEUs: 2.0 hours

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

Contact us for a follow-up discussion!