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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