Course Category: Apache Spark

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,…

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.