Next Level Python for Web (RESTful Services, Swagger, Django & More)

Geared for experienced Python programmers, Next Level Python is a comprehensive, hands-on Python training series that thoroughly explores intermediate to advanced level topics and skills.  This comprehensive, practical skills immersion program provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar.

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…

Python Programming Essentials

Geared for experienced users, Python Programming Essentials is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules.  This comprehensive, practical…

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.

DP-100: Designing and Implementing a Data Science Solution on Azure

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data,…

Intermediate Python

Python is huge right now. There is a big demand for Python in web, backend, Data Science, and DevOps. It is easy to get started with Python, but you can be even more proficient if you learn some of the common Pythonic Idioms that are somewhat unique to Python. Topics covered include testing, functional constructs,…

Fundamentals of Python

Python is huge right now. There is a big demand for Python in web, backend, Data Science, and DevOps. It is easy to get started with Python, but you can be a lot more proficient if you have the requisite background explaining how Python works and how it may be different from other languages you…

Exploring Data with Pandas and Python

Python in Data Science is huge right now. This course covers the basics to get started looking at and manipulating data in Python. We will use the popular Jupyter and Pandas tools to ingest, tweak, visualize, and pivot data. There are ample labs for you to try out the tools on your own. Topics covered…

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.