Data Analysis

The instructor has published 100% of this course.

This Course is part of the following Course Sets:

This course includes 2 attempts.

This is the ninth class in the Chromebook Data Science series. Data science is one of the most exciting and fastest growing careers in the world. The goal of this series is to help people with no background and limited resources transition into data science. It would be helpful to have already taken the previous courses Organizing Data Projects, Introduction to R, Version Control, Data Tidying and Getting Data.

We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Translate a general question into a data science question
  • Identify the type of data science question you are answering
  • Use data visualization and linear models to answer descriptive, exploratory, inferential and predictive questions
  • Implement your answers in code.

Things you need to do this course

This course is designed for people with no background with Chromebooks and no background in data science. So it is a great introduction for high-school students or people looking for a career change into the tech industry. The only requirements are:

  • A computer with a web browser and an internet connection.
  • The ability to type and follow instructions.
  • The accounts you have set up in previous courses.

How you will be graded

The course has a series of short quizzes, one for each chapter. You will get two attempts at each quiz and your best score for each quiz will count toward your final score. If you receive more than 70% of the points across all quizzes you will pass. If you receive more than 90% of the points across all quizzes you will pass with honors. You get two attempts at the class with each class purchase.

In some courses in this Course Set there are suggested DataCamp exercises. These exercises are not required for the course and won't factor into your grade. We will point our exercises that may give you additional practice. DataCamp is a separate platform and you may have to pay to access their exercises.

How to report an error

If you find a bug, typo, or issue in the material, feel free to contact us using this form.