Launch a high-paying career in data analytics, tech, marketing, & business

Limited seats available. Apply by December 8!
Program starts February 11, 2025.

100% FREE

*to all eligible L1-L4 Blue Badge part-time and full-time Amazon employees for 90 continuous days by February 11, 2025.*

Build your analytics career with Pathstream + Amazon Career Choice

Join other Amazon Employees

Pathstream is unlike any other education experience – our team is here to help you gain confidence, master new skills, and launch your new career. See our reviews for yourself!

Learn 100% Online.

No prior experience needed. No required class times. Get personalized feedback and support when you need it.

Earn a higher salary.

Dedicated career coaches prepare you for roles like Data Analyst, Business Analyst, and Marketing Analyst, with a median US salary of $84K.

We’ve helped thousands of people find new jobs at companies like these and many more!

Download the 2025 syllabus

Curious about our program?

Get a sneak peek at our 2025 Data Analytics Certificate Syllabus and discover how this program can help you advance your career and earn more.

Curious about our program? Get a sneak peek at our 2025 Data Analytics Certificate Syllabus and discover how this program can help you advance your career and earn more.

Hear from real Amazon employees about their experience with Pathstream

5 Steps to a High-Paying Career in 18 Weeks

Step 1

Enroll in this fully online program, and you’ll enter a field with high growth potential. Data, business, and marketing analysts can go on to roles in data science, insurance, business operations, healthcare, telecom, finance, computer engineering, marketing, and more.

Step 2

Complete hands-on projects to learn new software like Tableau and practice your skills. If you’re interested, take the optional Marketing Analytics course to gain skills that help marketing teams drive business growth.

Step 3

Get feedback and help from instructors when you need it.

Step 4

Meet with a career coach who will help you update your resume, LinkedIn profile,  practice mock interviews, and prepare for new data analytics roles!

Step 5

Take the next steps to build a rewarding career.

Our customers say: Excellent

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We’re here to help!

Call us for questions or help saving your seat

Latisha

(619) 514-2091

[email protected]

Learning Experience

Courses in business analytics and data visualization

10 hours a week on your own schedule

Access personalized career coaching

FAQs

What are the eligibility requirements?

You are eligible to participate in the program if you have been employed as a regular full-time (40+hours per week), reduced time (30+ hours per week), or part-time (20-29 hours per week) hourly L1-L4 blue badge employee for 90 continuous days by February 11, 2025. This includes all hourly non-exempt FC, CS, corporate, AWS, Amazon Fresh Stores, Amazon Books, Amazon 4-star, Amazon Pop Up, AmazonGo, and certain retail and eligible subsidiary associates. Eligible subsidiaries include A9, A100, A2Z, Audible, Brilliance, ComiXology, CreateSpace, Fabric.com, Goodreads, Amazon Pharmacy, Shopbop, Ring, and Woot.

Submit Your Application: Complete the application form. If you’re eligible for the program, you will receive an email confirmation with further instructions and next steps!

This program is free to all eligible Amazon employees. To enroll, you’ll submit a payment request through the Career Choice portal to apply your tuition assistance funding to this program. You will not owe anything out of pocket. Employees should have at least $2,625 available in funding to be enrolled in the program.

Course 1: Business Analytics Fundamentals

In this course, you’ll learn about business analytics. You’ll start to run analyses to discover patterns within data and develop data visualizations. You’ll also practice using spreadsheet software to find new insights.

Learning Outcomes:
  • Wrangle data using sorting and filtering, such as pivot tables and implement absolute and relative references.
  • Develop data visualizations, including line charts, scatter charts, combination charts, and histograms.
  • Apply exploratory data analysis (EDA) to investigate data and discover patterns, check assumptions, and summarize the values within your data using visual representations.
  • Communicate recommendations and analysis insights to business stakeholders using Google Sheets & Google Slides.
 

Course 2: Data Visualization with Tableau

In this course, you’ll learn to visualize data using cutting-edge software called Tableau.

Learning Outcomes:
  • Learn to visualize data to communicate business insights.
  • Use Tableau software’s Worksheet interface to classify, edit, and review data.
  • Apply design principles to develop compelling data visualizations.
  • Create Tableau dashboards to visualize multiple charts within a single page.
  • Build a Tableau Story using interactive dashboards to report insights to business stakeholders.
 

Course 3: SQL for Analytics

In this course, you will dive into the core of SQL and database management. This condensed course emphasizes practical SQL applications, guiding you through the intricacies of database operations using MySQL Workbench. From the fundamentals of databases and SQL to more advanced data manipulation and querying techniques, you’ll emerge with the skills to craft insightful analyses from complex data landscapes.

Learning Outcomes:
  • Understand the fundamental concepts of databases, including their role and structure in data analytics.
  • Utilize SQL to conduct basic to intermediate data queries.
  • Use Data Manipulation Language (DML) to extract, organize, and analyze data, revealing actionable insights.
  • Explore complex SQL operations like subquerying and aggregation.
 

Optional Course 4: Marketing Analytics & Performance Optimization

This course equips you with the skills to analyze marketing results, understand conversion drivers, and optimize efforts using data and A/B testing.

Learning Outcomes:
  • Explain how to calculate key marketing metrics and understand their significance to determine strategic marketing optimization decisions.
  • Describe how to A/B test various elements of marketing efforts to increase conversion rates.
  • Understand the benefits of using Google Analytics to optimize a website, track behavior, and improve the customer experience.

Over one million job postings for data and business analyst roles were posted in the last 12 months. This year, the world is expected to produce 50 times more data than in the last decade combined. 


Companies of all sizes need analysts to help them make sense of this flood of new information. According to the Bureau of Labor Statistics, demand for Tableau skills is expected to grow by over 30% in the next ten years. Even roles like project and customer success managers also increasingly need analytical skills to make data-driven decisions utilizing industry standards like Tableau and SQL. Common analyst roles that our alumni have successfully entered: 

 

  • Data Analyst
  • Business Analyst
  • Junior Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst
  • Sales Analyst
  • Healthcare Data Analyst
  • Retail Analyst
  • HR Analyst

Yes, the entire course experience is online and can be completed on your own schedule as long as you work towards the deadlines set in each course. There are no set times or classes when you need to log in. Our courses are designed for working professionals, students, and parents!

The program will run from February 11 to June 16, 2025. It consists of three courses, each open for six weeks. You should expect to spend 8-10 hours per week completing your coursework. 

The program is flexibly paced, meaning you can move as quickly or slowly as you’d like through each course as long as you complete all sections and projects during the 6-week course period. We provide a suggested course schedule to help you pace yourself through each course. The program will consist of 18 total weeks of coursework.

Before taking this program, students must have a high school degree or equivalent (GED), basic computer literacy skills, and English fluency. No prior experience in the data analytics field is required.

All you need is a PC or Mac computer or laptop and a stable internet connection. While you can complete the lessons on most devices including phones and tablets, labs and projects require a PC or Mac laptop or desktop computer. For that reason, you are not able to complete the course with only a phone, iPad/tablet, Chromebook, or Linux machine.

Pathstream is a provider of digital skills training based in Silicon Valley. We partner with leading tech companies and universities to develop programs that prepare people for in-demand jobs.

If you have questions about the program or need help enrolling, you can contact an enrollment advisor by phone at (619) 514-2091 or by emailing [email protected].

You will work individually with a career coach who will help you update your resume and LinkedIn profile to feature your new skills and past work experiences. They will help you identify exciting jobs to apply to and get ready for interviews. Pathstream’s Career Services team will also introduce you to recruiters and hiring partners who are looking to hire people with your skills.