Datasets

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Data Pipelines with TensorFlow Data Services (Coursera) Coursera
DeepLearning.AI

Data Pipelines with TensorFlow Data Services (Coursera)

Dive into the world beyond modeling with 'Data Pipelines with TensorFlow Data Services.' This course will equip you with the skills to deploy machine learning models effectively and optimize your data pipelines for superior performance. From understanding complex deployment scenarios to leveraging data more efficiently in training models, this specialization is designed to bridge the gap between theory and application.

Jun 8th 2026
4 Weeks
Deep Neural Networks with PyTorch (Coursera) Coursera
IBM

Deep Neural Networks with PyTorch (Coursera)

Dive into the world of deep learning and master the powerful PyTorch framework with our expert-led course. From understanding basic concepts like tensors and automatic differentiation, to implementing complex models such as convolutional networks and recurrent neural networks, you'll gain a thorough understanding of building state-of-the-art deep learning solutions.

Jun 8th 2026
5-12 Weeks
Getting Started on Mainframe with z/OS Commands and Panels (Coursera) Coursera
IBM

Getting Started on Mainframe with z/OS Commands and Panels (Coursera)

Dive into the world of IBM Mainframes with our beginner-friendly course, 'Getting Started on Mainframe with z/OS Commands and Panels.' This practical learning path equips you with essential skills for navigating and working in a z/OS environment. Through seven engaging labs, you'll learn to use ISPF/PDF dialogs and TSO/E commands effectively.

Jun 8th 2026
3 Weeks
Experimental Methods in Systems Biology (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Experimental Methods in Systems Biology (Coursera)

Dive into the world of Systems Biology with this course that unravels the complexities of cellular function through cutting-edge experimental methods. Learn about RNA sequencing, mass spec-based proteomics, flow/mass cytometry, and live-cell imaging to understand how these techniques are used to gather quantitative data for modeling cellular responses in biotech applications and disease research.

Jun 1st 2026
5-12 Weeks
Mathematics for Machine Learning: PCA (Coursera) Coursera
Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Jun 1st 2026
4 Weeks
Artificial Intelligence Privacy and Convenience (Coursera) Coursera
LearnQuest

Artificial Intelligence Privacy and Convenience (Coursera)

Dive into the world of Artificial Intelligence Privacy and Convenience, where we unravel the complexities involved in securing and maintaining privacy within machine learning projects. This course will equip you with essential knowledge and skills to navigate the challenges of balancing user privacy and system convenience in AI applications.

Jun 1st 2026
3 Weeks
Prepare Data for Exploration (Coursera) Coursera
Google

Prepare Data for Exploration (Coursera)

Embark on your journey towards becoming a skilled data analyst with 'Prepare Data for Exploration'. This course is the third installment in Coursera’s Google Data Analytics Certificate program, designed to equip you with practical skills in data extraction, organization, and protection. With expert guidance from current Google data analysts, you'll learn how to harness spreadsheets and SQL to prepare your data effectively for exploration and analysis.

Jun 1st 2026
5-12 Weeks
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