Prepare: Data Analyst

Prepare: Data Analyst

Data Analyst Courses

Provided by:

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How can I access this resource?

Courses are provided through Codecademy and Coursera. We’ve listed some recommended courses for New Yorkers below. Once you’ve read the description of each course, you can apply for a Codecademy Pro license or enroll in a Coursera course.

A limited number of Codecademy Pro licenses and Coursera enrollments are available for New Yorkers who qualify.

You may qualify for a Codecademy Pro license if you:

  • Live in New York City
  • Are 18 years of age or older
  • Currently have an annual salary of $50,000 or less
  • Meet one of the following:
    • your employment or income has been affected in some way by COVID-19, OR
    • you are an essential worker, such as a grocer or delivery professional

You may qualify for a Coursera enrollment if you:

  • Live in New York City
  • Are 18 years of age or older

What do I need?

A desktop or laptop computer with internet service and some interest in learning more about data analytics.

What will I learn?

These courses will expand on what you have learned in the online data workshops provided by Galvanize in the Discover stage, and give you an opportunity for additional practice to become more familiar and comfortable with these skills.

In addition to the courses below, it is helpful for candidates interested in occupational training to have a basic understanding of beginner algebra (for example, solving equations, graphing, percentages, ratios, number expressions, decimals, and fractions).

How long will this take?

Courses vary in length, and you don’t need to master the course content to apply for occupational training. However, these are useful introductory courses that will expose you to key concepts that are covered in more depth during occupational training.

What can I do after completing these courses?

These practice courses will help you prepare to apply for a data analyst career training program.


How do I apply for a Codecademy Pro license?

A limited number of Codecademy Pro licenses are available. Complete the enrollment form below to start the brief two-step application process.

How do I enroll in a Coursera course?

A limited number of enrollments are available. Complete the enrollment form below to start the brief two-step application process.


Recommended Courses

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Python 3

25 hours

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Learn SQL

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Learn the Command Line

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Learn Git

10 hours

Learn Git’s core features, basic workflow, different ways to undo and save changes, and how to collaborate with developers.

How To Deploy a Website

2 hours

You'll learn how to use Github to take website content and publish it. You'll also learn how to use Jekyll, a tool for developers to get new static sites up quickly.


Statistics, Probability & Excel

For the Data Analyst Training Accelerator (DATA), our recommended career training program, it is helpful to have an understanding of basic probability, statistics, and the ability to use Excel. If you do not feel comfortable in these areas, we recommend taking the following courses before training.

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Photo by Ruthson Zimmerman on Unsplash

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
(Week 1)

6 hours

This course provides an introduction to some basic concepts in statistics. You do not need to complete the entire course; we recommend completing the Week 1 content to gain an introduction to the subject.

Note: This course is available in English. Subtitles are available in French, Portuguese, Vietnamese, Russian, English, and Spanish.

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Photo by Mateus Campos Felipe on Unsplash

An Intuitive Introduction to Probability
(Week 1)

7 hours

This course will provide you with a basic, intuitive, and practical introduction into Probability Theory. You do not need to complete the entire course; we recommend completing the Week 1 content to gain an introduction to the subject.

Note: This course is available in English. Subtitles are available in English and Persian.

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Photo courtesy Microsoft

Everyday Excel
(Weeks 1 & 2)

11 hours

This course is for learners who are seeking to learn Excel from the ground up. No experience with Excel is necessary. You do not need to complete the entire course; we recommend completing Weeks 1 and 2 to gain an introduction to the subject and become comfortable working in Excel.

Note: This course is available in English. Subtitles are available in French, Portuguese, Vietnamese, Russian, English, and Spanish.

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