Python for Data Science Essential Training Part 1

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this training with basic coding experience that you can take to your organization and quickly apply to your own custom data science projects.

Topics include:

• Why use Python for working with data
• Filtering and selecting data
• Concatenating and transforming data
• Data visualization best practices
• Visualizing data
• Creating a plot
• Creating statistical data graphics
• Performing basic math and linear algebra
• Correlation analysis
• Multivariate analysis
• Data sourcing via web scraping
• Introduction to natural language processing
• Collaborative analytics with Plotly

About the Author

Lillian Pierson, P.E. is a leading expert in the field of big data and data science.

She equips working professionals and students with the data skills they need to stay competitive in today’s data-driven economy.

Lillian has recently become a data science instructor for multiple courses on LinkedIn Learning. She’s also the author of several highly-referenced technical books by the John Wiley & Sons, Inc. publishing company—including Data Science for Dummies (2017, 2015)—and has spent the last decade training and consulting for large technical organizations in the private sector, such as IBM, BMC, Dell, and Intel, as well as government organizations, from the US Navy down to the local government level.

As the Founder of Data-Mania LLC, Lillian offers online and face-to-face training courses, as well as workshops and other educational materials in the area of big data, data science, and data analytics.

Product Details

• Full Video Tutorials
• Video File Format: MP4
• Skill Level: Intermediate
• Video Duration: 6h 2m
• Instructor: Lillian Pierson, P.E.