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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

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Skill Up with Python: Data Science and Machine Learning Recipes

Skill Up with Python: Data Science and Machine Learning Recipes

位教师：Pearson

包含在 Coursera Plus 中

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1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Perform Sentiment Analysis on real-world text
Work with Image Recognition Tools
Scrape Basic Data from Websites

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

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有1个模块

Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It's widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python's versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.

This module introduces essential Python tools and techniques for data science and machine learning through hands-on projects. Learners will manipulate and visualize data in Jupyter Notebooks, perform sentiment analysis with NLTK, recognize images using OpenCV, and scrape web data with Beautiful Soup. Each lesson builds practical skills for real-world applications, helping students create portfolio-ready projects and prepare for careers in data science and machine learning.

涵盖的内容

21个视频5个作业

21个视频总计141分钟

Introduction2分钟
Learning objectives0分钟
Get started with Jupyter Notebooks12分钟
Load data into Jupyter11分钟
Manipulate data with Pandas10分钟
Visualize data13分钟
Learning objectives0分钟
Learn about Sentiment Analysis Tools in Python3分钟
Learn the basics of NLTK9分钟
Incorporate Sentiment Analysis into an application11分钟
Analyze with real-world data14分钟
Learning objectives0分钟
Learn about Image Recognition tools in Python2分钟
Learn the basics of OpenCV8分钟
Incorporate image recognition into an application7分钟
Learning objectives0分钟
Learn about web-scraping tools in Python4分钟
Learn the basics of the Beautiful Soup Library6分钟
Format and use scraped data7分钟
Modify web-scraping logic for other websites8分钟
Skill Up with Python: Summary1分钟

5个作业总计150分钟

Manipulate and Visualize Data in Jupyter Quiz30分钟
Perform Sentiment Analysis Quiz30分钟
Work with Image Recognition Quiz30分钟
Scrape Data from the Internet Quiz30分钟
End of Course Assessment30分钟

位教师

Pearson

268 门课程9,454 名学生

提供方

Pearson

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常见问题

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.