Python for Data Science Essential Training Part 2

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: building machine learning models that can generate predictions and recommendations and automate routine tasks. Along the way, she shows how to perform linear and logistic regression, use K-means and hierarchal clustering, identify relationships between variables, and use other machine learning tools such as neural networks and Bayesian models. You should walk away from this training with hands-on coding experience that you can quickly apply to your own data science projects.

Topics include:

• Why use Python for data science
• Machine learning 101
• Linear regression
• Logistic regression
• Clustering models: K-means and hierarchal models
• Dimension reduction methods
• Association rules
• Ensembles methods
• Introduction to neural networks
• Decision tree models

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: 3h 44m
• Instructor: Lillian Pierson, P.E.