9+ Hours of Video Training Data Science with Python and R Live Lessons is tailored to beginner data scientists seeking to use Python or R for data science. This course includes fundamentals of data preparation, data analysis, data visualization, machine learning, and interactive data science applications. Students will learn how to build predictive models and how to create interactive visual applications for their line of business using the Anaconda platform.
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7 Hours of Video Instruction Data Engineering with Python and AWS Lambda Live Lessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane.
Duration 3+ Hours of Video Instruction Overview Advanced R Live Lessons, Part I teaches R programmers techniques for dealing with large data, both in memory and in databases. It also covers advanced machine learning, network analysis, web graphics, and documents and presentations.
This is the first lesson of our Live Lessons video course that you can skip and come back to later. It goes into detail about Python's memory model and is strongly recommended viewing but may be too advanced for those who are just learning Python. Topics covered in this lesson include objects, references, and memory management.
6+ Hours of Video Training Effective Python Live Lessons Video Training offers developers insight into the Pythonic way of writing programs, building on the viewer's fundamental understanding of Python to write programs more effectively. Based on Effective Python, the book written by Brett Slatkin for the Effective Software Development Series, each lesson contains a broad but related set of items.
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