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Mathematics and Statistics - BCA

Self-paced Learning
Expert Instructors
Mathematics and Statistics - BCA course
₹249
Language
English
Valid Until
23 Apr 2027
Secure Payment
Expert Support

Course Description

•Master Core Concepts of Mathematics and Statistics with Our All-in-One Course! Perfect for students and exam aspirants, this course offers a strong foundation in key mathematical and statistical principles essential for academic and analytical success.
•What you'll learn: Set Theory: Types of sets, operations, Venn diagrams, and applications Relations: Properties of relations, types, and real-world examples Functions: Types of functions, composition, inverse, and graphs Logic and Proof: Propositions, truth tables, logical equivalence, and methods of proof Matrix and Determinant: Matrix operations, inverse, determinants, and their applications Measures of Central Tendency: Mean, median, mode, and their interpretations Correlation Analysis: Types of correlation, Karl Pearson and Spearman methods Regression Analysis: Lines of regression, least squares method, and prediction models Our course includes: Clear and structured video lectures Concept-based practice questions and exercises Step-by-step numerical examples and explanations Downloadable notes and formula sheets Expert support and doubt resolution.

About This Course

•Master Core Concepts of Mathematics and Statistics with Our All-in-One Course! Perfect for students and exam aspirants, this course offers a strong foundation in key mathematical and statistical principles essential for academic and analytical success.
•What you'll learn: Set Theory: Types of sets, operations, Venn diagrams, and applications Relations: Properties of relations, types, and real-world examples Functions: Types of functions, composition, inverse, and graphs Logic and Proof: Propositions, truth tables, logical equivalence, and methods of proof Matrix and Determinant: Matrix operations, inverse, determinants, and their applications Measures of Central Tendency: Mean, median, mode, and their interpretations Correlation Analysis: Types of correlation, Karl Pearson and Spearman methods Regression Analysis: Lines of regression, least squares method, and prediction models Our course includes: Clear and structured video lectures Concept-based practice questions and exercises Step-by-step numerical examples and explanations Downloadable notes and formula sheets Expert support and doubt resolution.

Video Lectures

1 Subjects

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