Free Data Analytics Training and Certifications

Locations: All regions

The reality of today’s modern job market: Having a college degree is no longer enough for college students to find their first full-time job, especially for first-generation college graduates. COOP Careers is a career-accelerating fellowship offered in-person and online that provides free data analytics courses, certification access, and training to help students develop in-demand data analytics skills. Through career development, mentorship, and networking, students go on to find roles that make on average $58K a year.


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 as a data analyst.

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


What is data analytics?  

Smiling man excited about the opportunities he has with COOP Careers. In our Data Analytics track participants learn about how data is collected, transformed, and organized to inform decisions.

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 recent 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 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.


Launch your career in data analytics 

COOP Careers Fellowship teaches you the fundamentals and skills that will prepare you for a high-growth data analyst job. 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.

Personalities suited for this track:

  • Problem solver

  • Investigative

  • Critical thinker

  • Detailed oriented

Careers you will be prepared for:

  • Data Analyst

  • Associate/Junior Analyst

  • Business Intelligence Specialist

  • Business Analyst


Preparing for an AI-forward labor market

Artificial intelligence is indeed 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 the best practices for responsibly deploy AI for professional tasks such as analyzing information, summarizing insights, and preparing reports.

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

  • 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 data analytics industry


Upon completion of the fellowship, alumni gain access to our extensive alumni network and resources. Our staff regularly share job referrals and organize workshops like mock interviews and resume reviews to help alumni on their career journey. Alumni have gone on to land a career in tech at companies such as GroupM, Salesforce, and TikTok!

Data analytics alumni: career journey


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 analytics.

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.


Core program components (200 hours)

Head: Strong foundation of hard skills for a career in tech (100 hours).

  • Data analytics fundamentals

  • Excel

  • SQL

  • Tableau

  • Data-driven presentations

  • Exploratory data analysis

  • Reports and dashboards

  • Prompt engineering foundations

  • Leveraging AI in the workplace


Heart: Develop your strengths, personal story, and professional network (50 hours).

  • 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 (50 hours).

  • Personal pitch

  • Resume

  • LinkedIn

  • Cover letters

  • Email etiquette

  • Interview practice

  • Optimizing applications

  • Collective networking

  • Leveraging AI in your job search


Data analytics alumni testimonial

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