Basic Programming in Python I
Master Python programming fundamentals for beginners. Learn core concepts, data types, functions, and practical application development.
Master Python programming fundamentals for beginners. Learn core concepts, data types, functions, and practical application development.
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
Powered by
What you'll learn
Write and execute basic Python programs
Understand variables, expressions, and statements
Implement conditional statements and logical operators
Create and use functions effectively
Develop programs using loops and control structures
Skills you'll gain
This course includes:
1.3 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This hands-on Python programming course provides a comprehensive introduction to programming fundamentals. Students learn essential concepts including data types, variables, operators, control flow, functions, and basic object-oriented programming. The curriculum combines theoretical understanding with practical application through hands-on coding exercises and real-world problem-solving. Topics covered include IO operations, conditional statements, loops, and fundamental programming principles.
Python as a Programming Language
Module 1 · 3 Hours to complete
Variables, Expressions, & Statements
Module 2 · 5 Hours to complete
Conditionals & Logical Operators
Module 3 · 5 Hours to complete
Basic Functions
Module 4 · 5 Hours to complete
Python Loop Basics
Module 5 · 3 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.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.