Data Science in Chemistry
Start Out with Data Science in Chemistry and Cheminformatics: A Newcomer's Guide
Teaching and Academics ,Science,Chemistry
Lectures -26
Resources -17
Quizzes -2
Duration -5 hours
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Course Description
Immerse yourself in the stimulating world of data science in chemistry with this in-depth beginner's course! Start Out with Data Science in Chemistry and Cheminformatics provides the in-depth beginner's guide to the concepts and tools revolutionizing how we handle and analyze chemical data.Perfect for beginners, the course provides the hands-on guide to cheminformatics that fills the gap between chemistry and data science with step-by-step tutorials, exercise sessions, and case studies.You'll discover how to use Python high-level libraries such as RDKit to handle chemical data, visualize molecular structures, and become adept at basic cheminformatics skills.By the end of the course, you will have a clear idea of computational methods, data handling, and visualization, and be able to use data science tools to solve complex chemical problems.If you are a student, researcher, or professional and wish to broaden your knowledge, this course is the perfect place to start with the exciting worlds of data science and cheminformatics.Who Should Take This Course: This course is ideal for chemistry students, researchers, and professionals with basic python syntax. If you wish to learn about the ways data science can open up new horizons in chemical research and development, this course is for you. Join us and start your data science and cheminformatics journey today!
Goals
What You’ll Learn:
Fundamentals of data science and its applications in chemistry
Using Python and essential cheminformatics libraries (RDKit, Openbabel, PubChemPy, and more)
How to handle, analyze, and visualize chemical data
Generating, storing, and managing molecular structures
Applications of data science to solve real-world chemistry challenges
Prerequisites
Basic Python Understanding
Chemistry Basics

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to Data Science in Chemistry
1 Lectures
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Introduction to Data Science in Chemistry 15:13 15:13
Molecular Models Types
2 Lectures

Structure Representation and Line Notation in Chemistry
3 Lectures

Chemical File Formats and Chemical File Conversion
3 Lectures

Setting up Python Environment
2 Lectures

Compound Database PubChem with Python
2 Lectures

Compound Database ChemSpider with Python
1 Lectures

Python Chemical Toolbox
2 Lectures

Interactivity in Notebook
3 Lectures

Cheminformatics @ Home
7 Lectures

Instructor Details

Mohamed El Soudy
I'm Mohamed El Soudy, an ardent chemist with a keen interest in exploring the intersection of Cheminformatics, Computational Chemistry, and Programming. Currently, I'm a Developer Educator at IN SILICO CHEMISTRY. At which, we are developing digital chemistries, where we leverage the intersection of Data Science and Chemistry. This encompasses theoretical knowledge, code explanations, production, and deployment.
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