Data science introduction

 Syllabus


Module 1 - Defining Data Science

  • What is Data Science?
  • Fundamentals of Data Science
  • The Many Paths to Data Science
  • Advice for New Data Scientists

Module 2 - What Data Scientists Do

  • A Day in the Life of a Data Scientist
  • Old problems, new problems, Data Science solutions
  • Data Science Topics and Algorithms
  • Cloud for Data Science

Module 3 - Data Science in Business

  • Foundations of Big Data
  • How Big Data is Driving Digital Transformation
  • What is Hadoop?
  • Data Science Skills and Big Data
  • Data Scientists at New York University

Module 4 - Use Cases for Data Science

  • What is the Difference?
  • Neural Networks and Deep Learning
  • Applications of Machine Learning
  • Exercise - Computer Vision with IBM Watson


Module 5 - Data Science in Business

  • How Data Science is Saving Lives
  • How Companies Should Get Started in Data Science
  • Applications of Data Science

Module 6 - Careers and Recruiting in Data Science

  • How Can Someone Become a Data Scientist
  • Recruiting for Data Science
  • Careers in Data Science
  • High School Students and Data Science Careers

What is data science

Data Science is a process , not an event . 

It is the process of using data to understand different things , Data science is the art of For me is when you have a model or hypothesis of a problem , and you try to validate that hypothesis or model with your data . Data science is the art of
uncovering the insights and trends that are hiding behind data .

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