Data Science Demystified

Data Science Demystified

Discover the relationship between Data Science and Machine Learning and how they boost your search experience.

About this course

This course is designed for users who will need a foundational understanding of Data Science. Throughout this course, you will be exposed to useful information that will help you on your AI and Machine Learning journey! In this course, we will explore key concepts of data science, including what it is, machine learning concepts, and what makes it a unique and powerful solution for certain data retrieval issues.

Goal: By the end of this course, you will have a clear understanding of the fundamental data science and machine learning concepts.

Course Objectives:

  • List key data science definitions
  • Compare supervised vs. unsupervised learning
  • Categorize data sets
  • Explain vectorization
  • Explain cross-validation and grid search
  • Describe classification and clustering
  • Understand recommenders

Audience:

  • Users interested in learning more about data science and machine learning
  • Those that are scheduled to take instructor-led training - Practical Data Science with Fusion AI

Duration: ~30 minutes 

Curriculum30 Minutes

  • Course Overview
  • eLearning
  • Lexicon
  • Knowledge Check
  • Course Feedback

About this course

This course is designed for users who will need a foundational understanding of Data Science. Throughout this course, you will be exposed to useful information that will help you on your AI and Machine Learning journey! In this course, we will explore key concepts of data science, including what it is, machine learning concepts, and what makes it a unique and powerful solution for certain data retrieval issues.

Goal: By the end of this course, you will have a clear understanding of the fundamental data science and machine learning concepts.

Course Objectives:

  • List key data science definitions
  • Compare supervised vs. unsupervised learning
  • Categorize data sets
  • Explain vectorization
  • Explain cross-validation and grid search
  • Describe classification and clustering
  • Understand recommenders

Audience:

  • Users interested in learning more about data science and machine learning
  • Those that are scheduled to take instructor-led training - Practical Data Science with Fusion AI

Duration: ~30 minutes 

Curriculum30 Minutes

  • Course Overview
  • eLearning
  • Lexicon
  • Knowledge Check
  • Course Feedback