Algorithms of the Intelligent Web | Building Intelligent Web Apps

Algorithms of the Intelligent Web is a hands-on Applied Machine Learning & AI course that teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications and website logs. Leveraging the most current standards, skills, and practices, you’ll examine intelligent algorithms that extract real value from data. Key machine…

Creating MATLAB User Interfaces

This intermediate-level MATLAB training course, Creating MATLAB User Interfaces, teaches attendees how to create graphical user interfaces (GUIs) for MATLAB programs, using both the interactive AppDesigner tool and direct programming. Students begin with the basics of GUI design and progress to advanced features such as context menus, event notification and handling, backward compatibility across MATLAB…

Object-Oriented MATLAB Programming

This Object-Oriented MATLAB Programming training course teaches students how to create high-quality, maintainable MATLAB programs using the modern object-oriented programming paradigm, replacing the “spaghetti code” too commonly found in beginner-level MATLAB scripts. Students are led from object-oriented design basics to advanced features such as access attributes, encapsulation, property value validations, getter and setter methods, event…

From MATLAB Scripts to Complete Programs

This MATLAB training course teaches attendees how to create MATLAB programs composed of separate functional modules, advancing beyond simplistic scripts often used by MATLAB beginners. Students also learn programming design principles, as well as debugging and unit-testing for improved program reliability.

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.

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,…

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,…