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Data Analytics track

Build the skills to turn data into insights and insights into opportunity.

Locations: Bay Area, Chicago, Los Angeles, New York

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Apply today 
data analytics track

Secure an entry level job in
data analytics.

Our data analytics training courses are designed for beginners and focus on applied skills used in real analyst roles. Fellows learn how to analyze data to answer business questions, uncover insights, and communicate findings clearly to stakeholders using tools such as Excel, SQL and Tableau.

Meet Winnie and some of our data analytics fellows and captains to learn how our data analytics program provides you with the skills and connections you need for a successful career in data analytics.

If you have questions, please contact our team at recruiting@coopcareers.org.

Apply today

What is data analytics?

Data analytics is the science of analyzing raw data to draw business insights. Data is collected, transformed, and organized to make predictions, draw conclusions, and drive informed decisions. Data analytics is a dynamic and surging profession—with opportunities growing in every industry.

Like in our other tracks, the data analytics curriculum is split into "hard" and "soft" skills — because every successful career requires Head, Heart, and Hustle.

This report from the World Economic Forum shares that data analysts and scientists are among the top 15 for fastest growing jobs, with an emphasis that data-driven decision making will be a key driver of business growth for companies over the next decade.

Thanks to our Grow with Google partners, we are able to offer complimentary access to the Google Data Analytics Certificate as part of our core technical skills learning where program participants gain working knowledge of essential data analysis platforms — including spreadsheets, SQL, Tableau and R programming, leading to increased opportunities in creating new career pathways.

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Launch your career in data analytics

COOP Careers Fellowship teaches you the fundamentals and skills that will prepare you for jobs in growing fields like data analytics and data science. Fellows learn how to work with databases, analyze datasets, and build visualizations using tools like Excel, SQL, and Tableau. Throughout the program, they will practice turning data into insights in applied learning scenarios.

Fellows will also have access to industry-recognized credentials such as the Google Data Analytics Certificate, along with opportunities to pursue additional certifications.

Download curriculum PDF

COOP prepares you for entry-level data analytics jobs:

  • Data Analyst

  • Associate/Junior Analyst

  • Business Intelligence Specialist

  • Business Analyst

Personalities suited for
this track:

  • Problem solver

  • Investigative

  • Critical thinker

  • Detailed oriented

Where our alumni work today
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Finishing the fellowship is just the beginning. From there, fellows join an alumni network of peers and partners who are invested in their success. COOP staff share job referrals and host workshops with employer partners, from resume reviews to mock interviews, so alumni have support at every stage of their career.

Alumni also have access to private groups where they can connect with peers for referrals, receive event invitations, and get advice from people who started where they did.

COOP alumni have gone on to launch careers at companies like Barclays, Salesforce, and TikTok, and the list keeps growing.

Preparing for an
AI-forward labor market

Artificial intelligence is transforming how professionals work across industries, but it has also shaped the way professionals identify, research and land jobs. Throughout the fellowship, fellows will learn how to use generative AI and AI-enabled tools to support their job search and learn best practices for responsibly deploying AI for professional tasks such as analyzing information, summarizing insights, and preparing reports, as well as how to use AI to support their job search.

  • Applying generative AI to support analysis, idea generation, and problem solving

  • Drafting and refining professional communication such as reports and presentations

  • Identifying responsible and ethical methods to using AI tools in the workplace

  • Special topics in AI and emerging technology in the digital marketing industry

  • Using AI tools to research industries, companies, and career paths

  • Exploring AI safety, ethics, and decision-making

DATA ANALYTICS alumni

Career journey

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Alexia Burquez

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Pre-COOP

Operations Trust and Regulatory Specialist, 2022-2023

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COOP

Data Analytics,
2022

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First job

Business Partner II:
Google Product Solutions, 2023-2025

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Second job

Business Partner II:
Go-to-Market, 2025-Present

COOP’s Data Analytics curriculum is comprehensive and well-structured, covering both theoretical concepts and practical tools used in the field. Fellows get to practice entry-level job responsibilities in data analytics through our hands-on capstone project.

The capstone project offers our fellows the opportunity to demonstrate and refine their technical and soft skills in real-time. Fellows collaborate in small groups to derive data driven insights that replicate entry level job responsibilities in data careers.

Completing the capstone project results in a deliverable—such as a report or presentation—that serves as a tangible work-like experience they can leverage during their career search and highlight during job interviews.

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Data analytics

Core program components (200 hours)

Head

Strong foundation of hard skills for a career in tech.

/100hrs

  • Data analytics fundamentals

  • Excel and AI-supported tools

  • SQL

  • Tableau and built-in AI tools

  • Data-driven presentations

  • Exploratory data analysis

  • Reports and dashboards

  • Prompt engineering foundations

Heart

Develop your strengths, personal story, and professional network.

/50hrs

  • Communication

  • Conflict resolution

  • Time management

  • Onboarding to a new job

  • Authentic professionalism

  • Work-life balance

  • Handling rejection

  • Confidence and facing fears

  • Benefits and challenges of AI

  • Critical thinking in generative AI use

Hustle

Hit the job market with a plan, a portfolio, and positive peer pressure.

/50hrs

  • Personal pitch

  • Resume

  • LinkedIn

  • Cover letters

  • Email etiquette

  • Interview practice

  • Optimizing applications

  • Collective networking

  • Leveraging AI in your job search

Apply today 
DATA ANALYTICS alumni

Data Analytics
alumni testimonial

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COOP has helped me prepare in the best way possible. Everyone here truly cares about you and I will take all the gems that came with every school night. I gained so many connections on Linkedin and just opening my eyes to what is out there.

Ana Gallardo

Cohort 530 | Spring 2025 | Data Analytics | Account Coordinator - HUB International

Apply today