What you will learn
- How to read and write Python code.
- Functions, arguments, and return values; variables and types; conditionals and Boolean expressions; and loops.
- Basic problem-solving mechanism using probability and statistics.
- An ability to recognize common fallacies in probability, as well as some of the ways in which 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.
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.
Courses in this program
HarvardX's Learning Python for Data Science Professional Certificate
- According to Glassdoor in 2022, data scientists have the third highest-paying job in America, with a median base salary of $120,000 per year.
- The BLS job outlook for those with a data science career and others in computer and information research is projected to increase by 15 percent between 2019 and 2029. This employment growth rate is much faster than average for all occupations (by 11%).
Meet your instructors from Harvard University (HarvardX)
Experts from HarvardX committed to teaching online learning