Brief Introduction
Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.Course Summary
This course teaches students how to utilize Python for research purposes, including data manipulation, visualization, and analysis.Key Learning Points
- Learn how to use Python for research purposes
- Gain skills in data manipulation, visualization, and analysis
- Develop proficiency in programming with Python
Related Topics for further study
Learning Outcomes
- Ability to use Python for research purposes
- Proficiency in data manipulation, visualization, and analysis
- Understanding of research methods and how to apply them using Python
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge
- Access to a computer with Python installed
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Data Science: Machine Learning
Related Education Paths
Related Books
Description
Course description
This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects. In this course, after first reviewing the basics of Python 3, we learn about tools commonly used in research settings.
Using a combination of a guided introduction and more independent in-depth exploration, you will get to practice your new Python skills with various case studies chosen for their scientific breadth and their coverage of different Python features.
This run of the course includes revised assessments and a new module on machine learning.
Knowledge
- What you'll learn
- Python 3 programming basics (a review)
- Python tools (e.g., NumPy and SciPy modules) for research applications
- How to apply Python research tools in practical settings
Outline
- Python Basics
- Python Research Tools
- Case Studies
- Statistical Learning
Summary of User Reviews
Harvard's Using Python for Research course has received rave reviews from students. The course provides a comprehensive introduction to Python programming and its applications in research. One of the key aspects that many users found impressive is the level of engagement and active learning provided by the course.Pros from User Reviews
- Comprehensive introduction to Python programming
- Applicable in research
- Engaging and active learning
- High-quality course materials
- Excellent instructors
Cons from User Reviews
- Paced too quickly for some beginners
- Not enough exercises provided
- Limited interaction with instructors
- Requires prior knowledge of programming
- Expensive compared to other online courses
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