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 NumPy and SciPy in Python, along with core R functionalities, to conduct essential statistical analyses
- Create informative visualizations: Craft compelling graphs and plots to communicate your research findings clearly using libraries like Matplotlib in Python
- Explore Artificial Intelligence applications: Gain an introduction to AI, including deep learning techniques and their application to scientific research
- Apply your skills to real-world problems: Put your newfound knowledge into practice by working through case studies that address various research scenarios
Requirements
- Whether you're new to coding or have some experience, this course will equip you with the foundational skills needed to tackle scientific data analysis and research projects.
Who This Course is For
- This course is designed for researchers, students, and anyone interested in using programming languages for scientific computing.
Your Instructor
Senior Assist Prof Azad Rasul
Expert in Python and R | GIS and Remote Sensing Scientist.
4.2 Instructor Rating
978 Reviews
88,982 Students
9 Courses
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