Professional Certificate Programme in Data Science & Agentic AI

SQL - SELECT, JOINs, window functions, CTEs, query optimisation, SQL with Python

Pipeline Architecture - ETL/ELT, batch vs streaming, data modelling, data quality, Docker

dbt Essentials - models, sources, schema tests, incremental models, Jinja

Orchestration & Cloud - Airflow, BigQuery, cloud storage, MLflow, data engineering project

Platform Awareness - Dagster, Snowflake, Databricks, Spark/PySpark, Lakehouse, DVC

Business Intelligence - Power BI, data modelling, DAX, time intelligence, dashboard publishing

Visualisation & Tools - Plotly, Matplotlib, Seaborn, Tableau overview

Data Storytelling - chart selection, design principles, accessibility, narrative frameworks

Metrics & Frameworks - KPI trees, North Star metrics, LTV, CAC, churn, funnel analysis, RFM

Exploratory Data Analysis - univariate, bivariate, multivariate analysis, feature creation, outlier detection

Statistical Foundations - normal distribution, CLT, sampling, confidence intervals

Hypothesis Testing & A/B - z-test, t-test, A/B testing, sample size, significance

Time Series Forecasting - stationarity, ARIMA, Prophet, validation, forecasting metrics

Machine Learning Foundations - ML lifecycle, feature engineering, evaluation metrics, bias-variance, governance

Supervised Learning - linear & logistic regression, decision trees, imbalanced data

Ensembles, Clustering & AutoML - Random Forest, XGBoost, K-Means, PCA, AutoML

Explainability & Responsible AI - SHAP, LIME, bias auditing, responsible AI

Deployment & Integration - MLflow, model serving, FastAPI, A/B testing, integrative project

LLM & NLP Foundations - transformers, attention, embeddings, tokenisation, prompting

RAG & Vector Search - embeddings, vector databases, semantic search, RAG, retrieval evaluation

Agentic AI - AI agents, function calling, tool use, memory, guardrails

Multi-Agent Orchestration - LangGraph, CrewAI, AutoGen, MCP, human-in-the-loop

MLOps & Data Governance - model monitoring, CI/CD, LangSmith, governance, GenAI ethics