June 2024
Beginner
4h 52m
English
Closed Captioning available in English
Overview
In this 4-hour course, dive into the world of NumPy and master data manipulation techniques vital for Python-based scientific computing. Explore essential topics such as creating, manipulating, and visualizing NumPy arrays, culminating in a hands-on project that applies your skills to time series analysis.
What I will be able to do after this course
- Understand and utilize NumPy arrays to organize and process data efficiently.
- Apply element-wise operations and broadcasting to perform efficient numeric computations.
- Create clear and effective data visualizations using NumPy and Python.
- Implement reduction and sort techniques to analyze and summarize datasets.
- Execute a comprehensive time series analysis project to solidify your skills.
Course Instructor(s)
With extensive backgrounds in Python programming and data analysis, Justin Dennison, Cherokee Boose, and Peter van Rysdam bring a wealth of experience to this course. Their engaging and practical teaching style ensures that learners gain not only theoretical knowledge but also hands-on expertise. Their passion for empowering others through education makes this course an ideal starting point for mastering NumPy.
Who is it for?
This course is aimed at data scientists, engineers, and professionals seeking to deepen their programming and data analysis skills. Learners should have a basic knowledge of Python and a keen interest in leveraging Python for scientific computing. By completing this course, you'd gain confidence in utilizing NumPy for data manipulation and visualization tasks, empowering your technical projects.
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