IOTA ACADEMY

Learn about the three most essential statistical tests in data science — t-test, chi-square test, and ANOVA. Understand their use cases, assumptions, and real-world applications for better data-driven decisions. Introduction Statistical tests  are crucial instruments in data science  for data-driven decision-making. They assist in determining whether the patterns we observe in data are purely coincidental or significant. These tests give you a scientific basis for your conclusions, whether...

Introduction In today’s data-driven world, the role of a Business Analyst (BA)  has evolved far beyond writing documents and gathering requirements. Modern organizations expect BAs to combine analytical thinking, technical fluency, and business acumen to drive measurable outcomes. Whether it’s improving a conversion funnel, automating a reporting process, or defining KPIs for new features — BAs are the bridge between strategy and execution. This “Top 50 Business Analyst Interview Questions...

Introduction This final section focuses on forecasting, applied business mathematics, and real-world problem-solving , where companies expect Business Analysts to use math and statistics to drive decisions. For roles offering ₹12 LPA and above, employers test not just formulas — but your ability to interpret numbers in business contexts like sales forecasting, ROI analysis, and KPI tracking. Each question below is designed to strengthen your logical thinking, improve your confidence, and...