Harvard Business School Online has launched a self-paced course designed for business professionals who want to leverage data science, artificial intelligence, and analytics to make evidence-based decisions. Participants gain hands-on experience with AI tools, large language models (LLMs), and data modeling to translate insights into strategic business outcomes.
What You’ll Learn in This Course
This course enables learners to:
- Build a business-focused understanding of data science, machine learning, and generative AI.
- Understand generative AI systems, large language models (LLMs), and prompt engineering to apply them responsibly.
- Use LLM-powered analytical tools like Julius to explore, build, and validate data models.
- Apply unsupervised and supervised learning techniques for pattern recognition, segmentation, and forecasting.
- Translate data analysis into actionable strategic business decisions and design evidence-based experiments.
Accessibility and Value
The self-paced online course requires 20 to 30 hours of study time, allowing students to choose their own schedule. For a fee of $1,850, participants receive both a Certificate of Completion and access to practical business-oriented AI training. The course teaches essential skills through a combination of real-world AI applications, data science methodology, and decision-making strategies.
Comprehensive Curriculum
- Foundations of Data Science: The scientific principles of data science establish fundamental concepts that serve as the foundation for analytical methods and data modeling techniques.
- AI and Machine Learning in Business: The field of AI and machine learning research develops applications for business use through generative AI technology and LLM systems.
- Experimentation and Strategy: Business experiments require design through experimentation, and companies should base their decisions on collected evidence.
- Data Modeling Tools: The LLM-based platform Julius provides analytical capabilities and validation functions for data modeling.
- Applied Business Projects: The applied business projects program requires students to work on practical tasks that demonstrate how AI knowledge can be used to make important business decisions.
Eligibility Criteria
- Intermediate-level understanding of business, data analysis, or statistics.
- Basic familiarity with data-driven decision-making and technology tools.
What Makes This Course Stand Out?
Harvard Business School Online offers a distinct educational experience that integrates practical AI and data science applications into business strategy development. The program provides students with practical training in generative AI, LLMs, and analytical tools, enabling them to transform data insights into business solutions. The program uses real projects to help students learn practical skills they can immediately use in their work.
Final Thoughts
The course teaches professionals how to use data science and AI for their business decision-making processes. Participants learn to develop real-world skills in analytics, experimentation, and evidence-based strategy through their work with AI tools, data modeling, and business applications.