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AI Foundations with Python: Build & Visualize

本课程是 Artificial Intelligence with Python: Foundations to Projects 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

19 条评论

6 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

19 条评论

6 小时完成

灵活的计划

自行安排学习进度

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

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

7 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

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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。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

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.

Through step-by-step guidance, learners will first configure Anaconda Navigator and Jupyter Notebook for a seamless workflow, then apply NumPy for array functions, indexing, and filtering techniques essential in AI data handling. Moving forward, they will implement Matplotlib for basic plots and transition to Seaborn for high-level, visually appealing statistical visualizations, including scatter plots, heatmaps, and box plots. What makes this course unique is its practical, project-oriented approach that blends setup, numerical computation, and data visualization into one cohesive learning path. By the end, learners will have both the technical skills and the confidence to explore real-world AI projects, effectively preparing them for more advanced machine learning and deep learning studies.

单元详情

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

7个视频总计57分钟

Introduction to Course7分钟
Download Anaconda Navigator9分钟
Set up and Installation8分钟
Numpy in Jupyter Notebook9分钟
Array Function7分钟
Numpy indexing and Selection10分钟
Filter Function6分钟

3个作业总计60分钟

Graded Quiz - Foundations of Python for AI30分钟
Getting Started with AI Tools15分钟
Mastering Numpy Basics15分钟

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.