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The unit-wise syllabus below is complete, so you can still plan what to study.
UNIT – I
Introduction to Statistics: Definition, Importance & Scope of statistics, Applications of Statistics, Limitations of Statistics, Types of statistics: Descriptive and Inferential Statistics.
Basics of Data Analytics: Definition, Difference between Data Analytics and Statistics, Use and Importance of data analytics, Applications of data analytics.
Role of statistics in Data Analytics, Need for statistical tools, Commonly used statistical tools for data analytics, Types of Data Analytics: Descriptive Analysis, Diagnostic Predictive Analysis, Perspective Analysis. Types of Data, Data Measurement and Data Collection.
Descriptive Statistics: Graphical approaches, Measures of Central Tendency: mean, median, mode, partition values. Measures of Dispersion: Range, Quartile deviation, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation, Measures of Shape, Empirical Rule, Chebyshev’s Theorem, Box and Whiskers plot, Need for z-scores.
As per the latest IPU syllabus — cross-check electives with your college.
Where can I download Statistics and Data Analytics (MCA-205) notes for IPU?
This page has upcoming Statistics and Data Analytics notes for IPU MCA MCA semester 3, aligned with the latest IPU syllabus. Free resources download instantly; premium ones unlock right after payment.
Are previous year question papers (PYQ) available for Statistics and Data Analytics?
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Which semester is Statistics and Data Analytics taught in for MCA?
Statistics and Data Analytics (MCA-205) is a semester 3 subject in the IPU MCA Master of Computer Applications (MCA) curriculum.
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