Harvard University · edX
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Overview
This course equips executives and leaders with the frameworks and tools to leverage artificial intelligence for high-impact strategic choices. Learn to translate data into competitive advantage, mitigate risks with predictive analytics, and drive organizational transformation through AI-augmented decision-making.
What you'll learn
- Frame business challenges for AI and data analysis solutions.
- Select relevant AI tools for strategic scenarios and decisions.
- Critically interpret AI outputs and understand their key limitations.
- Combine algorithmic intelligence effectively with human experience and ethics.
- Manage AI risks, ethical dilemmas, and required governance frameworks.
- Lead organizational change towards a culture of evidence-based strategy.
Skills you'll practise
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
- From Microsoft, a well-regarded name.
- Self-paced: start any time.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate: $55). Audit access may end after the course closes.
Before you start
None
Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
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