Data Science Quick Start

Getting started in data science with the rudiments of correlation analysis and Python.

Everyone has to start someplace! A “quick start” in data science isn’t a contradiction in terms! This course is for beginners.

What you’ll learn

  • Students will learn to get started with Data Science, quick..
  • This course will teach the rudiments of correlation analysis..
  • This course will also teach the rudiments of python..
  • Software installation is not required: but this course will provide helpful suggestions for students that wish to install Python..
  • Students will learn to execute correlation analysis in Ptyhon from scratch..
  • The bonus material also teaches students about Pandas, Data Management, and other related topics..

Course Content

  • Introduction –> 4 lectures • 10min.
  • Module One – Correlation Analysis –> 5 lectures • 34min.
  • Optional Discussion –> 1 lecture • 4min.
  • Module Two – Python Crash Course –> 4 lectures • 51min.
  • Course Capstone Experience –> 2 lectures • 15min.
  • Bonus Material –> 5 lectures • 23min.

Data Science Quick Start

Requirements

  • There are no prerequisites..
  • This course is designed for individuals that have no, or very little, experience with data science..
  • Students looking to a review or a refresher of correlation analysis or Python will also benefit from this course..
  • No software installation is required..

Everyone has to start someplace! A “quick start” in data science isn’t a contradiction in terms! This course is for beginners.

Students will learn to get started with Data Science, quick. This course will teach the rudiments of two topics.

  • First, it will teach correlation analysis.
  • Second, it will teach Python.

There are two knowledge checks to help students assess their own learning.

Plus there is also a capstone experience. The capstone experience will ask students to implement correlation analysis from scratch in Python. There are no prerequisites. No software installation is required.

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