THE GLOBAL CAREER ACCELERATOR

Coding for Data

Whether you're just starting to believe that data runs this world (it does!), or you want to kickstart your future career as a data analyst, dive into a hands-on experience learning SQL and Python, guided by pros.

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

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

Data Wrangling with SQL

  • Kickstart your career by learning the #1 data wrangling language: SQL
  • Write queries to sort, filter and group data—and learn how to debug errors.
  • Receive a Querying Data (Intel project) certification for your resume and LinkedIn.

Intro to Python for Data

  • Learn the technical skills necessary to succeed in a high-potential career.
  • Learn about industry-standard Python libraries such as Pandas and NumPy.
  • Receive a Python & Data (The Grammys project) certification for your resume and 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
The Global Career Accelerator certification badge: Python & Data — Using Python to analyze data with The Grammy Awards
The Global Career Accelerator certification badge: Querying Data — Using SQL to pull data from large datasets with Intel

Brand Project Spotlight

Grammy Awards logo: Golden gramophone trophy atop a black pedestal with

You'll engage in a riveting Data Analysis project with The Recording Academy:


  • Employ professional data analysis and visualization techniques, focusing on Grammy.com's content and audience strategy.
  • Utilize actual data sets and real-life business context for your investigation.
  • Delve into, scrutinize, and professionally present your findings.

How can SQL and Python skills apply to your major?

Business Intelligence Analyst

Product Manager

Machine Learning Engineer

Industrial Engineer

Supply Chain Manager

Researcher

Work with professionals
committed to your success.

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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.

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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

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