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Junior Data Science Olympiad: Resources

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Junior Data Science Olympiad is suitable for students of grade 9 and above, interested in Data Science. Check out the resources for the Junior Data Science Olympiad in this post.


  • Algebra
  • Trigonometry
  • Coordinate Geometry
  • Combinatorics
  • Data Visualization


  • AM, GM, and Cauchy Schwarz Inequality
  • Rational Root Theorem, Remainder Theorem
  • Roots of a polynomial


  • Trigonometric Identities
  • Trigonometric Ratios
  • Graphs of Trigonometric Functions

Coordinate Geometry

  • Coordinate Geometry
  • Straight Lines, Circles
  • Basic Conic Sections
  • Graphs of Function


  • Permutation
  • Combination
  • Pigeon Hole Principle
  • Binomial Theorem

Data Visualization

  • Univariate Data Visualization
  • Bivariate Data Visualization
  • Scatter Plot and Correlation Analysis
  • Chatterjee's Correlation
  • Multivariate Correlation Analysis

Reference Books

  • Polynomials by Barbeau
  • Complex Numbers from A to Z by Titu Andreescu
  • Challenges and Thrills of Pre College Mathematics
  • Lines and Curves by Vasiliyev (something else)
  • Trigonometric Delights by El Maor
  • Trigonometry by S.L. Loney
  • 101 Problems in Trigonometry by Titu Andreescu
  • The Art of Data Science by Roger Peng, Elizabeth Matsui
  • How charts lie: getting smarter about visual information

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