Learning Python for Data Science
Professional Certificate Program
Join Harvard Online in this series of online courses taught by renowned faculty to put your Python skills into practice for applied data science.
What You'll Learn
Data science is an ever-evolving field, constantly iterating and innovating as technologies and algorithms improve. In order to drive your career forward, you must stay on the cutting-edge of the newest programming languages, such as Python, to stand out from the rest.
Based around three courses, this Professional Certificate in Learning Python for Data Science focuses on hands-on learning—putting your Python skills into practice for applied data science. Each course will build upon each other, preparing you to solve complex business challenges using coding and data analysis. No prior coding experience required to enjoy this program.
Taught by experts in the field, you will learn the foundations of Python programming and statistics before moving into more advanced learning around Python for machine learning and AI—all while building your quantitative reasoning and statistical skills. By combining these tools, you will not only become a more invaluable contributor to your team and organization, but you also will kickstart your career in the in-demand field of data science.
After completing the Professional Certificate in Learning Python for Data Science, learners will understand:
- How to read and write Python code.
- Functions, arguments, and return values; variables and types; conditionals and Boolean expressions; and loops.
- Basic problem-solving mechanisms using probability and statistics.
- How to recognize common fallacies in probability and ways statistics are abused or simply misunderstood.
- Applications of Python programming for data science, using popular libraries such as Pandas, numPy, matplotlib, and SKLearn.
- How Python serves as a foundation for machine learning and artificial intelligence.