Basic Programming in Python II
Master Python programming fundamentals with focus on clean code practices, advanced loops, and practical application development using Python libraries.
Master Python programming fundamentals with focus on clean code practices, advanced loops, and practical application development using Python libraries.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Information Systems Foundations Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
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What you'll learn
Write clean, efficient Python code following PEP 8 standards
Implement advanced loop control structures
Develop practical programming solutions
Apply Python to real-world problems
Create maintainable and readable code
Skills you'll gain
This course includes:
5 Hours PreRecorded video
2 assignments, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This hands-on Python programming course focuses on developing proficiency in core Python concepts and programming skills. Students learn about data types, IO operations, control flow, functions, and basic object-oriented programming. The curriculum emphasizes clean code practices following PEP 8 conventions and includes practical applications in data science and web development.
Clean Code in Python I
Module 1 · 2 Hours to complete
Clean Code in Python II
Module 2 · 3 Hours to complete
Advanced Loops
Module 3 · 4 Hours to complete
Fee Structure
Instructor
Expert in Data Analytics and Machine Learning at Northeastern University
Dr. Yizhen Zhao is an Associate Teaching Professor at Northeastern University, specializing in multidisciplinary graduate engineering programs. She earned her Ph.D. in economics from Johns Hopkins University, focusing on time-series econometrics and finance. Dr. Zhao has extensive experience in quantitative finance, having worked on Wall Street in both sell-side and buy-side roles, with expertise in equity investments, high-frequency trading, and machine learning applications. At Northeastern, she teaches courses such as "Machine Learning in Finance" and "Data Science Engineering Methods and Tools," aiming to make data science education accessible, particularly for marginalized groups. Her research interests are expanding into blockchain technologies, reflecting her commitment to integrating innovative technologies into her teaching and research. Dr. Zhao is also involved in online education, offering courses on platforms like Coursera that cover fundamental programming skills in Python. Through her work, she strives to empower students with the skills necessary to navigate the evolving landscape of data analytics and finance.
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Frequently asked questions
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