About This Course

Master Probability and Statistics for GATE DA 2026

Looking to crack GATE Data Science & AI 2026? This comprehensive course on Probability and Statistics is tailored exactly as per the official GATE DA syllabus, helping you build the mathematical confidence needed to solve advanced data-driven problems.

Why This Course?

Whether you're starting from scratch or revising concepts, this course is structured to strengthen your understanding with in-depth theory, intuitive examples, and practice problems modeled on GATE-level difficulty.

What You Will Learn:

• Counting and Probability: permutations, combinations, sample space, independent/mutually exclusive events, and Bayes’ Theorem
• Random Variables: discrete and continuous types, PMF, PDF, CDF
• Distributions: Bernoulli, Binomial, Uniform, Exponential, Poisson, Normal, t-distribution, Chi-squared
• Statistical Measures: mean, median, mode, variance, standard deviation, correlation, covariance
• Advanced Concepts: conditional expectation, CLT (Central Limit Theorem), conditional PDF
• Hypothesis Testing: z-test, t-test, chi-squared test, confidence intervals

Course Highlights:

• Fully aligned with GATE DA 2026 syllabus
• Step-by-step video tutorials and concept deep-dives
• Topic-wise tests and practice quizzes
• notes and doubt resolution

Join thousands of GATE aspirants preparing smarter with Mindspan Education.

Enroll now for the GATE DA 2026 Test Series — Offer ends on 31st July.