Next Level Python in Data Science (Numpy, Pandas, Spark, TensorFlow & More)

Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More… Next Level Python in 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…

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.

Working with Apache Spark

Apache Spark is a powerful, open-source processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and sophisticated analytics.

Apache Spark for Data Scientists

Apache Spark is a powerful, open-source processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and sophisticated analytics.