LinkedIn – Python for Data Science and Machine Learning Essential Training Part 1 2024-3

Python for Data Science and Machine Learning Essential Training Part 1. This course is the first part of a popular course on LinkedIn Learning that teaches you how to use Python for data science and machine learning. Instructor, Lillian Pierson, walks you through a hands-on project: a web scraper that downloads and analyzes data from the web. Along the way, you’ll learn techniques for cleaning, reformatting, transforming, and describing raw data, creating visuals, removing outliers, performing simple data analysis, and generating web-based charts using Streamlit. The course is integrated with GitHub Codespaces, an instant cloud development environment that offers all the functionality of your favorite IDE without the need for a local setup.

What you will learn:

• Basic concepts of data science and machine learning
• Using Python to prepare data with Numpy and pandas
• Data visualization techniques with matplotlib and Seaborn
• Performing exploratory data analysis (EDA)
• Introduction to Applied Machine Learning
• Web scraping using Python and BeautifulSoup
• Creating interactive analytics apps with Streamlit

Who is this course suitable for?

• People who are interested in learning data science and machine learning with Python.
• People who want to gain practical skills in data analysis and visualization.
• People who want to learn about web scraping and Streamlit.
• People who want to work with GitHub Codespaces.

Course details

• Publisher: LinkedIn
• Instructor: Lillian Pierson, PE
• Education level: Intermediate
• Training duration: 7 hours and 44 minutes

Course headings

Python for Data Science and Machine Learning Essential Training Part 1 Course Images

Sample course video

Download link

Download file – 942 MB

File(s) password: www.downloadly.ir

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942 MB