A Crash Course in Data Science

Description

In this course, you will :

• Describe the role of data science in various contexts.
• Understand the impact of Statistics and Machine Learning on Data Science.
• Use the key terms that data scientists use.
• Predict the success of a Data Science project.
• How to define the role of data science in various contexts.
• The roles of statistics, machine learning, and software engineering in data science.
• Explain the structure of a data science project.
• Be familiar with the key terms and tools used by data scientists.
• How to tell the difference between a successful and unsuccessful data science project.
• A data science manager's role.

Syllabus :

A Crash Course in Data Science

• What is Data Science?
• Statistics by example activities
• Machine learning, the basics
• Machine learning further reading
• What is Software Engineering for Data Science?
• The Structure of a Data Science Project
• The outputs of a data science experiment
• The four secrets of a successful data science experiment
• Data Scientist Toolbox
• Separating Hype from Value