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About the Course Set

Chromebook Data Science (CBDS) is a free online educational to help anyone who can read, write, and use a computer to move into data science, the number one rated job. It is a sequence of 12 MOOCs offered by faculty members in the Johns Hopkins Department of Biostatistics, Bloomberg School of Public Health.

Data science jobs are in demand and well regarded, but it is challenging to break into the field. Some of these challenges include:

  • Data science training requires expensive computers
  • Data science training is expensive
  • Data science jobs are centralized in tech centers
  • Data science jobs require connections

This sequence of courses teaches you the basics all the way from word processing to basic data analysis and how to network and get a job in data science. The courses are available on a "pay what you want/can" model so that they are accessible to everyone. All proceeds that go to the JHU Data Science Lab will be redirected to help improve training and placement in data science for disadvantaged individuals.

Learn more about Chromebook Data Science at the Johns Hopkins Data Science Lab.

IMPORTANT NOTES:

  • By purchasing the Course Set you get the class "How to use a Chromebook". However it is not required to complete this course to get the Course Set certificate.
  • The Course Set gives you 2 attempts at each Course in the sequence. If you do not pass your two attempts you will need to re-purchase that individual course.

Verified Certificate

At the end of the course set, you will receive a Verified Certificate from Leanpub certifying that you have gone through the entire set.

The certificate of achievement you earn allows to provide proof that you have successfully completed an online course.

12 Courses Included

Introduction to Chromebook Data Science
  • 2191

    learners

  • 100%

    complete

  • english

Introduction to Chromebook Data Science

Jeffrey Leek
Jeffrey Leek

Description

This is the first 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. The only pre-requisites are a computer with a web browser and the ability to type and follow instructions. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Define the field of data science and the goals of this class and program
  • Create the relevant accounts for performing data science in the cloud.
  • Use cloud-based tools to complete your first data science project.

Things you need to do this course

This course is designed for people with no background in data science and so 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 internet connection
  • The ability to type and follow instructions.

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.


How to Use a Chromebook
  • 1586

    learners

  • 100%

    complete

  • english

How to Use a Chromebook

Jeffrey Leek
Jeffrey Leek

This is the second 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. The only pre-requisites are a computer with a web browser and the ability to type and follow instructions. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Explain what a Chromebook is (and isn't)
  • Set up and use Chrome Apps
  • Discuss some common issues with using a Chromebook

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.

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.


Google and the Cloud
  • 1573

    learners

  • 100%

    complete

  • english

Google and the Cloud

Jeffrey Leek
Jeffrey Leek

Description

This is the third 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. The only pre-requisites are a computer with a web browser and the ability to type and follow instructions. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Use Google's web services
  • Use popular services like Google Docs, Google Calendar, and Google Slides
  • Communicate with Google Hangouts and Slack.

Things you need to do this course

This course is designed for people with no background in data science or cloud computing and so 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 internet connection
  • The ability to type and follow instructions.

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.


Organizing Data Science Projects
  • 1718

    learners

  • 100%

    complete

  • english

Organizing Data Science Projects

Jeffrey Leek
Jeffrey Leek

This is the third 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 our Introduction and Google and the Cloud courses. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Create projects on RStudio Cloud
  • Set up the file structure you will use for data science projects
  • Name files for data science projects
  • Navigate files in the Terminal and in R on RStudio Cloud

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.

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.


Version Control
  • 1587

    learners

  • 100%

    complete

  • english

Version Control

Jeffrey Leek
Jeffrey Leek

This is the fourth 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 our Introduction and Organizing Data Science Projects courses. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Use version control to keep track of your files
  • Use git and GitHub to version control your files
  • Contribute to other people's projects through pull requests on GitHub
  • Set up a version controlled data science project on GitHub.

Things you need to do this course

This course is designed for people with no background with Chromebooks. It would be helpful if you had already taken our Introduction and Organizing Data Science Projects courses. This should be a great introduction to version control 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.

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.


Introduction to R
  • 1664

    learners

  • 100%

    complete

  • english

Introduction to R

Jeffrey Leek
Jeffrey Leek

This is the fifth 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 our Introduction, Organizing Data Science Projects, and Version Control courses. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Describe what the R programming language is
  • Log in to RStudio Cloud and use the R programming language
  • Load and use R packages
  • Perform the basic commands you will need to start using R

Things you need to do this course

This course is designed for people with no background with Chromebooks or with R. It would be helpful if you had already taken our Introduction, Organizing Data Science Projects, and Version Control courses. But we don't assume prior programming experience. This should be a great introduction to Rfor 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 appropriate accounts set up in our earlier 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.


Data Tidying
  • 1615

    learners

  • 100%

    complete

  • english

Data Tidying

Jeffrey Leek
Jeffrey Leek

This is the sixth 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 our Organizing Data Science Projects, Version Control and Introduction to R courses. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Explain what raw and tidy data are
  • Transform messy data sets into tidy data sets
  • Work with strings, factors and dates in R

Things you need to do this course

This course is designed for people with no background with Chromebooks. It would be helpful if you had already taken our Organizing Data Science Projects, Version Control and  Introduction to R courses. This should be a great introduction to data tidying 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 that 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.

Data Visualization
  • 1568

    learners

  • 100%

    complete

  • english

Data Visualization

Jeffrey Leek
Jeffrey Leek

This is the seventh 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 our Organizing Data Science Projects, Version Control, Introduction to R and Data Tidying courses. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Explain what makes a plot good or bad
  • Create exploratory and explanatory plots in R using the ggplot2 package
  • Plot different types of data and make different types of plots
  • Convert basic plots into plots that are visually pleasing and communicate information

Things you need to do this course

This course is designed for people with no background with Chromebooks. It would be helpful if you had already taken our Organizing Data Science Projects, Version Control, Introduction to R and Data Tidying courses. This should be a great introduction to data visualization 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.

 

Getting Data
  • 1540

    learners

  • 100%

    complete

  • english

Getting Data

Jeffrey Leek
Jeffrey Leek

This is the eighth 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, and Data Tidying. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Get data from online, databases, and other resources
  • Pull the data from these sources in a variety of formats
  • Save them and organize them so you can tidy them for analysis

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.

Data Analysis
  • 1579

    learners

  • 100%

    complete

  • english

Data Analysis

Jeffrey Leek
Jeffrey Leek

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.

 


 Written and Oral Communication in Data Science
  • 1555

    learners

  • 100%

    complete

  • english

Written and Oral Communication in Data Science

Jeffrey Leek
Jeffrey Leek

This is the tenth 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, Getting Data and Data Analysis. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Create and write a data science report
  • Organize, manage, or attend a data science meeting
  • Create and deliver technical and non-technical data science presentations

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 the 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.

 

Getting a Job in Data Science
  • 1574

    learners

  • 100%

    complete

  • english

Getting a Job in Data Science

Jeffrey Leek
Jeffrey Leek

This is the eleventh 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, Getting Data, Data Analysis, and Written and Oral Communication in Data Science. We guide you through the rest!

Learning objectives

After taking this course you will be able to:

  • Create and maintain your data science resume
  • Set up your professional data science website
  • Set up and manage your public profiles (Twitter, Github, LinkedIn)
  • Know where to look for and apply for data science jobs
  • Be able to prepare for a data science interview

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.

Instructors

  • Sarah is Human Genetics PhD student in the Institute of Genetic Medicine at Johns Hopkins. She studies the role of regulatory variation in neurodegenerative and neuropsychiatric diseases, like Parkinson disease and schizophrenia.

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