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Python has quickly become the leading in-demand programming language for those in the data science and analytics sector. Python skills are bankable, and this learning path helps you add value to your skill set and to your resume.
Building a Recommendation System with Python Machine Learning & AI with Lillian Pierson, P.E.
Discover how to use Python to build programs that can make recommendations. This hands-on course explores different types of recommendation systems, and shows how to build each one.
1h 38m • COURSE
NumPy Data Science Essential Training with Charles Kelly
Learn how to use NumPy, Python, and Jupyter Notebook for numerical, scientific, and statistical programming as you build your analytics, machine learning, and data science skills.
3h 54m • COURSE
pandas for Data Science with Charles Kelly
Get an introduction to pandas, the Python library for data analysis and data science. Master its tools for time series and learn how the data frame and panels tools work.
2h 3m • COURSE
NLP with Python for Machine Learning Essential Training with Derek Jedamski
Explore natural language processing (NLP) concepts, review advanced data cleaning and vectorization techniques, and learn how to build machine learning classifiers.
4h 14m • COURSE
You'll improve your Python data science skills with these experts
Lillian Pierson, P.E.
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.
Charles Kelly is the chief technology officer (CTO) at SAGE, the Simple Application Generator for Eclipse.
SAGE helps generate code for client-server systems, rich client platforms, parallel computation systems, and other user interface components. He has been a lecturer and assistant professor at University of San Diego, and a distinguished professor at Dalien Institute of Technology. In his spare time, he pursues the intersections of software programming and Sudoku. Find out more at charleskelly.com.
Derek Jedamski is a skilled data scientist specializing in machine learning.
Derek has experience with regression and classification modeling, natural language processing, statistical analysis, quality control, business analytics, and communicating technical results to audiences with various backgrounds. He also has a thorough understanding of Python, R, SQL, Apache Spark, and other computing frameworks and languages. Currently, Derek works at GitHub as a data scientist.