Data Science & AI
A structured collection of analytics, programming, machine learning, and AI topics. Live cards open the published course site; planned cards will become links when the content is ready.
Topics
Excel for Data Analytics
Spreadsheet analysis, formulas, charts, pivots, and practical reporting workflows.
Live
SQL for Data Analysis
Querying, filtering, joining, aggregating, and preparing relational data for insight.
Live
Python Fundamentals
Core Python syntax, data structures, functions, files, and problem-solving habits.
Live
Data Analytics with Python
Pandas, visualization, exploratory analysis, and repeatable data workflows in Python.
Live
Data Analytics (Python, R & Excel)
A broader analytics path combining Python, R, Excel, and applied data projects.
Live
Statistics & Probability
Descriptive statistics, probability, distributions, inference, and uncertainty.
Coming Soon
Machine Learning Fundamentals
Supervised and unsupervised learning, model evaluation, and practical ML foundations.
Coming Soon
Deep Learning
Neural networks, training workflows, representation learning, and deep model basics.
Coming Soon
Generative AI & LLMs
Prompting, foundation models, retrieval workflows, and responsible generative AI use.
Coming Soon
Natural Language Processing
Text processing, embeddings, classification, language models, and NLP applications.
Coming Soon
Reinforcement Learning
Agents, environments, rewards, policies, and learning through interaction.
Live
Computer Vision
Image processing, visual recognition, convolutional models, and applied vision tasks.
Coming Soon
MLOps & Model Deployment
Packaging, serving, monitoring, and maintaining machine learning systems.
Coming Soon