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Overview
Mastering Python and R for Scientific Data Analysis What you'll learn: Master programming fundamentals: Learn core programming concepts such as variables, data types, control flow, functions, and modules in both Python and R. Wrangle and analyze data: Effectively manage and manipulate your scientific data using file handling techniques in Python and data manipulation methods in R. Perform statistical analysis: Utilize libraries like Num Py and Sci Py in Python, along with core R functionalities, to conduct essential statistical analyses Create...
Syllabus
- Getting Started with Python and R
- Python Basics
- R Basics
- Data Handling and Manipulation
- Scientific Computing
- Data Visualization
- Introduction to Artificial Intelligence
- Case Studies in Scientific Research
Instructor
Senior Assist Prof Azad Rasul
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