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Free Science β˜… 5.0 β€’ 17 students β€’ 2 hours

Solving Problems in Chemistry with Python

Learn practical Python for chemistry step by step, with 50 solved problems and applications in all branches of chemistry

Description


Are you a chemistry student, researcher, or professional who wants to unlock the power of Python programming but don’t know where to start? This course is designed to take you on a step-by-step journey where Python meets chemistry. Instead of learning coding in isolation, you’ll dive into 50 carefully crafted real-world chemistry problems, each one showing you how Python can be applied to data analysis, visualization, and scientific discovery.

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Unlike generic coding tutorials, this course is chemistry-focused. Every example connects directly to real chemical applications:  solving equilibrium problems, calculating thermodynamic properties, exploring kinetics, and much more. By solving these problems, you won’t just learn Pythonβ€”you’ll learn how to think like a computational chemist and apply programming to research, studies, and professional work.

The course starts with fundamentals of Python, making it accessible even if you’ve never written a line of code before. Then, through each problem, you’ll gradually build your programming toolkit: , numerical computation, visualization, automation, etc. By the time you finish, you’ll have solved 50 real chemistry challenges, gaining the confidence to tackle your own projects independently.

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This course is more than coding lessonsβ€”it’s a transformation in the way you approach chemistry. You’ll learn to replace tedious manual calculations with automated scripts, turn raw data into insights with just a few lines of code, and explore chemical problems at a depth and speed that traditional methods can’t match.


Total Students17
Duration2 hours
LanguageEnglish (US)
Number of lectures29
Number of quizzes0
Total Reviews1
Global Rating5
Instructor NameKhurshid Ayub

Course Insights (for Students)

Actionable, non-generic pointers before you enroll

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Student Satisfaction

86% positive recent sentiment

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Momentum

Steady interest

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Time & Value

  • Est. time: 2 hours
  • Practical value: 8/10

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Roadmap Fit

  • Beginner β†’ β†’ Advanced
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Key Takeaways for Learners

  • Automation

Course Review Summary

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What learners praise

Clear explanations and helpful examples.

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Watch-outs

No consistent issues reported.

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