Data Science

Extracting insights from data using statistics, programming, and domain expertise.

About this Exam

Data Science combines statistics, computer science, and business acumen. Data scientists analyze data, build predictive models, and communicate insights to drive decisions.

Subjects & Topics Covered

• Python / R Programming
• SQL & Databases
• Statistics & Probability
• Data Visualization (Matplotlib, Seaborn, Tableau, Power BI)
• Pandas & NumPy
• Machine Learning
• Big Data (Spark, Hadoop)
• Business Communication

Preparation Tips

• Learn SQL — non-negotiable for any data role
• Python with Pandas and NumPy
• Statistics fundamentals (hypothesis testing, distributions)
• Tableau or Power BI for visualization
• Build 5+ portfolio projects with real datasets
• Practice case studies and SQL interview questions