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, certifications, 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 $58K a year.


Secure an entry level job in data analytics

Our data analytics training courses are tailored for beginners and offer instruction on essential data analysis platforms, from SQL and Tableau to R programming.

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 lists data analysts and scientists first on its list of roles with increasing demand.

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. Students will develop a solid understanding of data analysis techniques by working with databases and creating visualizations using tools like Excel, SQL, and Tableau. Students also earn industry-leading certifications like the Google Data Analytics Certificate, along with the option of other certifications. 

Personalities suited for this track:

  • Technical

  • Problem solver

  • Investigative

Careers you will be prepared for:

  • Data Analyst

  • Associate/Junior Analyst

  • Business Intelligence Specialist

  • Business Analyst


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 intro

Excel

SQL

Tableau

Data-driven presentations

Exploratory data analysis

Reports and dashboards


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


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


Data analytics alumni testimonial


Flagship Partners