Spark Fundamentals

This high-octane Spark training course provides theoretical and technical aspects of Spark programming.  The course teaches developers Spark fundamentals, APIs, common programming idioms and more. This Spark training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material and quickly get them up to speed on using Spark…

Intermediate Python for Data Science | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More)

Intermediate Python for Data Science covers the essentials of using Python as a tool for data scientists to perform exploratory data analysis, complex visualizations, and large-scale distributed processing on “Big Data”. In this course we cover essential mathematical and statistics libraries such as NumPy, Pandas, SciPy, SciKit-Learn, TensorFlow, as well as visualization tools like matplotlib,…

Introduction to Python and PySpark

This three-day course is designed to provide Developers and/or Data Analysts a gentle immersive hands-on introduction to the Python programming language and Apache PySpark. NOTE: In order to provide the broadest range of courses and class dates for this class, this course may be taught by either Wintellect or one of our training Partners.