🤖
Machine Learning
Supervised/unsupervised learning, model selection, regularization — core DS skill.
🧠
Deep Learning & Neural Networks
CNNs, RNNs, Transformers — the engine behind modern AI products.
📡
Big Data Engineering
Spark, Hadoop, Kafka — building pipelines that process terabytes of data daily.
☁️
Cloud & MLOps
AWS/GCP/Azure + MLflow, Kubeflow — deploying models at production scale.
📈
Business Analytics
Excel, SQL, Tableau/Power BI — data-driven business insight and reporting.
💰
Financial Data Science
Quantitative finance, risk modelling, algorithmic trading analytics.
🏥
Health Analytics
Medical imaging data, EHR analysis, clinical trial statistics.
🌐
Natural Language Processing
Text mining, sentiment analysis, LLMs — the fastest growing DS sub-field.
👁️
Computer Vision
Image classification, object detection, generative AI for images.
🔒
Cybersecurity Analytics
Anomaly detection, threat modelling, SIEM data analysis.
📍
Geospatial Analytics
GIS, satellite imagery analysis, location-based insight.
⚙️
Data Engineering & Warehousing
ETL pipelines, dbt, Snowflake, data lakehouse architecture.