Joseph Santarcangelo

Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.

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Python Basics for Data Science (edX) EdX
IBM

Python Basics for Data Science (edX)

Embark on a journey to learn Python basics tailored specifically for aspiring data scientists. This introductory course offers a comprehensive guide to Python programming, equipping you with the skills needed to start analyzing data effectively. Through engaging content and practical lab exercises, you'll build your first Python scripts and gain confidence in applying Python for data science tasks.

Self Paced
Self-Paced
Analyzing Data with Python (edX) EdX
IBM

Analyzing Data with Python (edX)

Unlock the potential of your data with 'Analyzing Data with Python' on edX. This course equips you with essential skills in handling, manipulating, and analyzing complex datasets using powerful Python libraries such as numpy, pandas, SciPy, and scikit-learn. Whether you're a beginner or looking to advance your analytical capabilities, this course offers a structured pathway to mastering data analysis and machine learning techniques.

Self Paced
Self-Paced
Python for Data Engineering Project (edX) EdX
IBM

Python for Data Engineering Project (edX)

Embark on an exciting journey into data engineering with our Python for Data Engineering Project course. Designed for those who have a basic understanding of Python, this course offers hands-on experience in working with data. You'll learn how to extract data from various sources, transform it using Python techniques, and prepare it for loading into databases.

Self Paced
Self-Paced
Gen AI Foundational Models for NLP & Language Understanding (Coursera) Coursera
IBM

Gen AI Foundational Models for NLP & Language Understanding (Coursera)

Dive into the world of advanced AI with 'Gen AI Foundational Models for NLP & Language Understanding' on Coursera. This expert-led course from IBM will equip you with the skills needed to develop and deploy cutting-edge generative AI models for natural language processing (NLP). Whether you're a beginner or looking to deepen your expertise, this course covers essential topics like document classification, language modeling, translation, and foundational concepts for creating both small and large language models. Get ready to transform how you approach NLP and unlock the potential of AI in understanding human language.

Aug 24th 2026
2 Weeks
Generative AI and LLMs: Architecture and Data Preparation (Coursera) Coursera
IBM

Generative AI and LLMs: Architecture and Data Preparation (Coursera)

Dive into the world of generative AI and Large Language Models (LLMs) with this foundational course by IBM. Designed for data scientists, machine learning engineers, deep-learning engineers, and aspiring AI professionals, this program will equip you with essential knowledge on how to effectively utilize these powerful tools in your projects.

Aug 24th 2026
2 Weeks
Python for Data Science, AI & Development (Coursera) Coursera
IBM

Python for Data Science, AI & Development (Coursera)

Embark on a journey into the world of programming with our beginner-friendly Python course. This course is tailored for those new to coding and aims to equip you with the foundational knowledge needed for data science, AI, and software development. Dive deep into Python's capabilities and start your path towards becoming a proficient coder.

Aug 18th 2026
5-12 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.

Jul 6th 2026
5-12 Weeks