Data Manipulation with Pandas
Teaches how to import, clean, and analyze data using pandas DataFrames, covering tasks like filtering, aggregating, and visualizing real-world datasets.
BIGDataAIHub
The resources below have been curated by IMI BigDataAIHub. They include free and free-to-audit courses, certifications, tutorials, and learning materials.
Unsupervised learning in Python
Teaches how to identify natural groupings within data using methods like K-Means and hierarchical clustering.
Supervised Learning with scikit-learn
Teaches how to build predictive models using real-world datasets, covering classification, regression, and model evaluation techniques.
Prompt Engineering for ChatGPT
Learn to create effective prompts for generative AI tools like ChatGPT to enhance applications in business, education, and everyday tasks.
Big Data, Artificial Intelligence, and Ethics
Learn about the ethical challenges of AI and big data through case studies, NLP applications, and examining their impact on society.
AI Infrastructure and Operations Fundamentals
Introduces AI concepts, explores data center and cloud infrastructures, and prepares learners for the NVIDIA-Certified Associate certification.
CS50's Introduction to Artificial Intelligence with Python
Teaches Python programming fundamentals, including functions, conditionals, loops, object-oriented programming, and file handling, through hands-on projects.
Learn Python 3
Introduces Python fundamentals like variables, loops, functions, and data structures through structured lessons and practical exercises.