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.
Curriculum
- Algebra
- Trigonometry
- Coordinate Geometry
- Combinatorics
- Data Visualization
Algebra
- AM, GM, and Cauchy Schwarz Inequality
- Rational Root Theorem, Remainder Theorem
- Roots of a polynomial
Trigonometry
- Trigonometric Identities
- Trigonometric Ratios
- Graphs of Trigonometric Functions
Coordinate Geometry
- Coordinate Geometry
- Straight Lines, Circles
- Basic Conic Sections
- Graphs of Function
Combinatorics
- 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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