中By completing this beginner-friendly course, learners will be able to set up Python environments, manipulate data using NumPy, and create insightful visualizations with Matplotlib and Seaborn. Designed for those starting their journey in Artificial Intelligence, the course ensures students build a strong computational foundation before progressing to advanced AI concepts.
AI Foundations with Python: Build & Visualize
您将学到什么
Set up Python environments with Anaconda and Jupyter.
Manipulate and analyze data efficiently using NumPy.
Create clear, insightful visualizations with Matplotlib & Seaborn.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
September 2025
作业
7 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Artificial Intelligence with Python: Foundations to Projects 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有2个模块
This module introduces learners to the fundamental tools required for Artificial Intelligence development in Python. Students will begin by setting up their environment with Anaconda Navigator and Jupyter Notebook, ensuring a smooth workflow for AI projects. The module then dives into NumPy, a core library for scientific computing, covering array creation, indexing, selection, and filtering techniques. By the end of this module, learners will have the ability to manipulate data efficiently and build a strong computational foundation essential for AI applications.
涵盖的内容
7个视频3个作业1个插件
This module focuses on transforming raw data into meaningful visuals using Python’s powerful visualization libraries. Students will begin by exploring Matplotlib for creating fundamental plots such as line, bar, and histogram charts. They will then advance to Seaborn, a high-level visualization library, to generate aesthetically pleasing statistical graphs, including heatmaps and box plots. The module concludes with hands-on work in scatter plots and practical Seaborn applications, equipping learners with the skills to interpret and communicate AI data insights effectively.
涵盖的内容
10个视频4个作业
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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