Analytics Foundations: Core Concepts Every Analyst Needs is a structured track of 5 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- What Is Analytics? Definition, Value Chain & Types Explained - Analytics is the systematic computational analysis of data to discover, interpret, and communicate meaningful patterns that support decision-making.
- The 4 Types of Analytics: Descriptive, Diagnostic, Predictive & Prescriptive - Interview Favourite: Always identify 'which type of analytics' a problem needs - shows structured thinking Type Question Techniques Tools Business Example Indian Co.
- Analytics in Business Functions: Marketing, Finance, HR & More - Function Analytics Application Key Metrics Indian Example Marketing Campaign attribution, customer segmentation, channel ROI CAC, ROAS, CTR, Conversion Rate Myntra person
- The Data Roles Ecosystem: Analyst vs Data Scientist vs Data Engineer - Ch 1: Analytics Foundations Layer Role What They Do Key Output Infrastructure Data Engineer Build pipelines, data warehouses, ETL/ELT processes Reliable, clean data at sc
- Indian Analytics Market Overview: Size, Growth & Key Hubs - Market Size: India analytics and data science market estimated at ~₹45,000 - 50,000 Cr (~$5.5 - 6B), growing at ~25% CAGR.