THE GLOBAL CAREER ACCELERATOR

Data Analytics

Whether you're conducting research or drafting up a proposal, knowing how to effectively analyze data is a game changer for a wide variety of careers.

Gain valuable exposure and experience with leading companies

An Investment in You

Session Dates

Summer 2026 term: May 18 to August 12

Course code for the Global Career Accelerator

  BA 297

Benefits of The Global Career Accelerator

  • Get 4 certifications and verified skills for your resume
  • Unlock access to an exclusive career network
  • Build a portfolio of real-world experience with industry-leading companies
  • Access to coaching and networking events with industry professionals

Transparent Costs

3 PennState credits

of your standard tuition

Badge with blue banner:
Badge with text

The program may be financial aid eligible. Program cost is billed to your student account.

Intro to Data Analytics

  • Use Excel to compile and review real-world datasets.
  • Analyze data from real-world case studies from Doordash, AllBirds and more.
  • Receive an Data Analysis (The Grammys project) certification for your LinkedIn.

Data Visualization with Tableau

  • Use Tableau to become a data storyteller.
  • Design visualizations in Tableau that showcase data sets in an easily understandable way.
  • Receive a Data Visualization (Intel project) certification for your LinkedIn.

Intercultural Competency Skills

  • Build your emotional intelligence skillset.
  • Develop listening skills that manage bias.
  • Receive an Intercultural Skills certification for LinkedIn.
certification badge: Intercultural Skills — Collaborating with a diverse and global team with UNESCO

Earn Certifications Upon Completion

The Global Career Accelerator certification badge: AI Professional Skills — Applying AI to real-world projects with OpenAI
certification badge: Data Analysis — Generating recommendations using Excel with The Grammy Awards
certification badge: Data Visualization — Visualizing data and creating Tableau dashboards with Intel

Brand Project Spotlight

Intel logo: blue

You'll dive headfirst into a compelling Data Analysis project with Intel's Sustainability team:


  • Apply professional data analysis and visualization techniques in a real-world context.
  • Navigate intricate sustainability-related business problems.
  • Craft insightful, data-driven recommendations.

How can
data skills apply to your major?

Sports Analyst

Journalist

Business Strategist

Social Media Specialist

Healthcare Consultant

Financial Analyst

Work with professionals
committed to your success.

Man in a blue jacket smiles, looking upward. Background includes colorful artwork.

HEAD OF DATA ANALYTICS

Dr. Robert Alvarez

Data scientist at Intel and NASA and former professor at Santa Clara University, Robert will be your expert guide into the world of data analytics. He’s devoted his professional life to studying and using data to champion holistic changes in a wide array of fields.

Woman with brown wavy hair smiles, wearing a black blazer and white shirt, in a warm-toned room.

HEAD OF LIVE EXPERIENCE

Dr. Lauren Crider

Doctor of Mathematics who conducted research at MIT and passionate educator, Lauren currently works as an analyst and product data scientist at a rad startup. She inspires students of all backgrounds to love working with data - even if they don’t love math as much as she does.

Registration is now open.

Get real-world experience and industry certifications, all while earning credit this term.

You’ll be supported every step of the way.

Teaching Team

Your teaching team is here to support and mentor you through your experience. Attend Drop-In Hours with the team to ask questions and connect with them.

Community

Connect and network with your peers across other universities, ask questions and share some of your projects progress.

HelpHub

Our super-powered chatbot Bodhi has solved 80% of participants' questions in past terms—but get real human help when needed.

Frequently Asked Questions

When does the program start?

How much does the program cost?

How many credits can I get for the program?

What are LiveLabs and Video Lessons?

When are LiveLabs?

How will I meet my team?

What equipment do I need?

Do I need to be on campus to take the program?