Prepare for the data science interview process, from navigating job postings to passing the technical interview.

Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.

NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.

DataRobot MLOps delivers the capabilities Data Science and IT Ops teams need to work together to deploy, monitor, manage, and govern machine learning models in production.

This course will teach you how Deep learning is integrated into the daily practices of digital marketing, in order to improve digital marketing practices in the data driven era, and maintain better connections with existing and potential users.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks.

Dive into deep learning with TensorFlow. Learn how to build, train, and evaluate neural networks using one of the most popular frameworks for deep learning. Understand key concepts like backpropagation, activation functions, and optimization techniques.

Build deep learning models to classify data.

Classify image data with deep learning.

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.