Prepare: Data Analyst

Prepare: Data Analyst

Data Analyst Courses

Provided by:

Senior man using a laptop at home
woman sitting behind table with black laptop computer
Photo by Bahman Adlou on Unsplash

How can I access this resource?

Coursera courses are provided through the NYS Department of Labor and are available at no-cost to unemployed and dislocated workers impacted by COVID-19.

A “dislocated worker” is someone who lost their job due to one of the following situations:

  • You were terminated or laid off from your job, are eligible for Unemployment Insurance benefits, and are identified by us as unlikely to return to your previous industry or occupation.
  • You lost your job as a result of a plant closing or substantial layoff.
  • You have been unemployed for a long time and are unlikely to get another job in the same or similar occupation.
  • You were self-employed and are unemployed due to general economic conditions or a natural disaster.

You may also be considered a dislocated worker if you have been away from the labor force for many years. For example: you were a full-time homemaker and you must now return to the labor force because you have lost your source of income.

We’ve listed some recommended courses for New Yorkers below. Once you’ve read the description of each course, you can enroll in a Coursera course.

A limited number of Coursera enrollments are available for New Yorkers who qualify.

This training is currently offered in English. You may qualify for this training if you:

  • Live in New York City
  • Are 18 years of age or older
  • Are unemployed or a dislocated worker impacted by COVID-19.
  • Have access to the internet
  • Have access to a computer or smart device

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 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

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.

person using MacBook Air
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.

Young woman sitting at desk looking at laptop holding coffee cup
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.

Happy pregnant woman working from home
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.

Translate »