Introduction to Programming
Python is essential for computer science and data analysis. Start with variables and loops, then practice with NumPy and pandas for data handling.
Python is essential for computer science and data analysis. Start with variables and loops, then practice with NumPy and pandas for data handling.
This beginner-friendly course provides a structured foundation for developing complex programs in computer science and data science. Taught by Dr. Jennifer Coy, it covers fundamental programming concepts using Python. You'll learn about variables, control structures, functions, and common Python packages. The course includes hands-on exercises, examples, and opportunities to practice, making it ideal for novice programmers or self-taught programmers looking to fill knowledge gaps.
4.7
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What you'll learn
Understand and use variables, arithmetic operations, and basic input/output in Python
Implement decision-making and control structures using if statements and loops
Create and use functions to organize and reuse code
Utilize Python's built-in functions and modules for various tasks
Apply basic data science concepts using Python packages
Develop problem-solving skills through hands-on programming exercises
Skills you'll gain
This course includes:
466 Minutes PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course offers a comprehensive introduction to programming using Python. Students will learn fundamental concepts such as variables, control structures, and functions. The curriculum covers problem-solving techniques, algorithm development, and basic data science concepts. Participants will gain hands-on experience through coding exercises and projects. The course emphasizes practical skills and includes an introduction to common Python packages used in data science and computer science.
Introduction to Programming and Python
Module 1 · 4 Hours to complete
Control Statements, Loops, and Program Development
Module 2 · 5 Hours to complete
Functions, A Beginning
Module 3 · 6 Hours to complete
Functions, The Ongoing Story
Module 4 · 3 Hours to complete
Conclusion
Module 5 · 15 Minutes to complete
Fee Structure
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Instructor
Department Chair of the Department of Computer Science and Director of Computer Science Graduate Program and Associate Professor of Computer Science
Dr. Jennifer Coy serves as the chair of the Department of Computer Science at Ball State University. With nearly 20 years of experience, she has taught a broad array of courses, mentored students, and fostered industry-academia partnerships. Dr. Coy holds both a B.S. in Computer Science and Engineering and a B.S. in Engineering Physics from the University of Toledo. She completed her M.S. and Ph.D. in Physics at Purdue University, focusing her dissertation on computational astrophysics. After earning her graduate degrees, Dr. Coy taught computer science at two other universities before joining Ball State. Her research interests center on applying computing to various scientific fields, aiming to drive new discoveries through interdisciplinary collaboration. Currently, she is developing computational models to enhance our understanding of Radon’s radioactive decay and its potential implications for dark matter within the solar system. Beyond her professional life, Dr. Coy enjoys camping with her family, running half marathons, and reading.
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4.7 course rating
24 ratings
Frequently asked questions
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