Driving Digital Success

Are you prepared for a
digital and data-driven world?

About this Series

How can predictive analytics improve your business? What is your responsibility in protecting the privacy of your customers? Can big data be used to improve the lives of people in your community?

Simply having a digital plan of action today is no longer enough. Organizations, entrepreneurs, and leaders aspiring to succeed in today’s business world drive toward true digital transformation. Create value in digital worlds, harness the power of data, and align your goals for maximum success. 

Driving Digital Success courses provide the frameworks and methodologies to turn data into insight, technologies into strategy, and opportunities into value and responsibility. These courses are curated to help you develop a data-first mindset, improve your digital strategic thinking, and learn how to navigate, manage, and lead in these environments. Build your confidence to provide practical data insights to improve analysis, communication, and decision-making at your organization.

Who Will Benefit

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Team Leaders

Managers - Executives - Supervisors - Community Leaders

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Creators

Entrepreneurs - Small Business Owners - Non-Profit Organizers

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Rising Leaders

Recent Graduates - Early and Mid-Career Professionals

About the Faculty

Courses in the Driving Digital Success series represent the breadth and depth of Harvard University and its faculty. Learn from professors across disciplines—from Harvard Business School to the John F. Kennedy School of Government to the Harvard Graduate School of Design—and hear from experts in leading industries around the globe. Benefit from this wide-ranging expertise, studying topics from different points of view and with different categories of emphasis.

Courses in this Series

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Data Science Principles

Are you prepared for our data-driven world?

Data Science Principles gives you an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.

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Data Science for Business

Move beyond the spreadsheet

Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

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Big Data for Social Good

Big social problems require big data solutions

Using real-world data and policy interventions as applications, this course will teach core concepts in economics and statistics and equip you to tackle some of the most pressing social challenges of our time.

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Open Innovation

Solve your organization’s problems by looking outside your organization

Open innovation is a strategy that suggests the best ideas, solutions, and people necessary to solve your organization’s difficult problems may come from outside your company entirely.

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Data Privacy and Technology

Explore the risks and rewards of data privacy and collection

Explore legal and ethical implications of one’s personal data, the risks and rewards of data collection and surveillance, and the needs for policy, advocacy, and privacy monitoring.

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Digital Health

The future of health care is digital

Digital technologies and big data offer tremendous opportunities to improve health care.

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Explore and connect to our courses via articles, webinars, and more.

Building Data Science into your Strategy

Watch a webinar about how to rethink your business strategy for data-driven decisions.

What do Chick-fil-A and Stitch Fix have in common?

How can data science benefit your business decisions? By combining knowledge and analysis of data with business acumen, modern companies can become experts in data science execution.

Keeping Your Data Secure

Watch a webinar about the data privacy trade-offs and challenges presented by today’s ever-changing role of technology.

Additional Courses

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Data Science Professional Certificate

Real-world data science skills to jumpstart your career

The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges.

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FinTech

Prepare for future financial services priorities

This short course provides expert guidance and insight into the shifting nature of the financial sector.

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CS50: Introduction to Computer Science

This is CS50x

An introduction to the intellectual enterprises of computer science and the art of programming.

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Cybersecurity: Managing Risk in the Information Age

Lead an effective cybersecurity strategy

Develop a personalized mitigation strategy for your organization’s networks, systems, and data to successfully respond to cyberattacks.

Courses in Development

Demonstrates the importance of the customer, product, and functional connections and how they create value. Participants will explore these connections through case studies featuring a variety of firms who have undergone successful digital transformation. Firms must learn to take advantage of network effects, handle both complements and competitors, and build business and operation models based on their own and their customers’ unique context.

  • Understand why and how competing in a digital arena is different from traditional competition.
  • Understand what it means to be truly customer-centric in a digital world.
  • Recognize the scope and potential for new business models in the digital arena.
  • Recognize and appreciate the barriers to effective digital change, the key success drivers, and how to overcome barriers.
  • Understand some of the myths around digital success. 
  • Appreciate what contributes to business success and failure.
  • Apply the learnings from this course to your own roles and businesses. 

Offers different lenses through which to view how urbanization can be understood, facilitated, orchestrated, and organized in a human-centric and equitable way while leveraging cutting edge urban technologies and governance systems.

  • Define what a smart city is.
  • Understand the role of technology in the life of a city.
  • Apply the lenses of ecologies and contexts to better understand how to leverage digital technologies.
  • Analyze the role of data in determining and implementing smart city strategies.
  • Understand the stakeholders involved in the work of smart cities and how they collaborate.
  • Reflect on future challenges faced by cities and your own contexts and agency.