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Skill Up with Python: Data Science and Machine Learning Recipes

Skill Up with Python: Data Science and Machine Learning Recipes

Instructor: Pearson

Included with Coursera Plus

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1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There is 1 module in this course

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.

What's included

21 videos5 assignments

21 videosTotal 141 minutes

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

5 assignmentsTotal 150 minutes

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

Instructor

Pearson

268 Courses7,607 learners

Offered by

Pearson

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Frequently asked questions

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.