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The course include comprehensive set of programs for statistical analysis.

Course Information

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Course Instructor

Mahendra Kanojia Dr. Mahendra Kanojia Author

Dr. Mahendra Kanojia (Ph.D., M.Phil., Computer Science) Dr. Kanojia is an AI research scientist and academic leader with 18years of experience. He serves as Principal and HOD of Computer Science at Sheth L.U.J. & Sir M.V. College, Mumbai, and founded the e-learning platform rocktheit.com., He specializes in AI, Machine Learning, chatbots, and advanced applications like autonomous oncology. His hands-on, accessible approach to technical training is driven by a single belief: "If humans can, technology can."

 

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Statistical Programming

Binomial Distribution
Lesson 1 of 60 within section Statistical Programming.
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Binomial Distribution – Properties
Lesson 2 of 60 within section Statistical Programming.
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Bernoulli Trial
Lesson 3 of 60 within section Statistical Programming.
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Binomial Distribution – Uses
Lesson 4 of 60 within section Statistical Programming.
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Random Sample – Unbaised Experiment
Lesson 5 of 60 within section Statistical Programming.
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Random Sample – Event & Parameter
Lesson 6 of 60 within section Statistical Programming.
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Normal Distribution – Pre-Requisites
Lesson 7 of 60 within section Statistical Programming.
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Standard Normal Variate
Lesson 8 of 60 within section Statistical Programming.
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Poisson Distribution
Lesson 9 of 60 within section Statistical Programming.
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Random Sample in Normal Distribution
Lesson 10 of 60 within section Statistical Programming.
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Quintiles in Normal Distribution
Lesson 11 of 60 within section Statistical Programming.
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Probability Density Function of Binomial Distribution
Lesson 12 of 60 within section Statistical Programming.
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Histogram of Binomial Distribution
Lesson 13 of 60 within section Statistical Programming.
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Probability Density Function of Normal Distribution
Lesson 14 of 60 within section Statistical Programming.
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Histogram in Bell Curve
Lesson 15 of 60 within section Statistical Programming.
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Cumulative Plot for Normal distribution
Lesson 16 of 60 within section Statistical Programming.
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Cumulative Plot for Binomial Distribution
Lesson 17 of 60 within section Statistical Programming.
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Probability Density Function of Exponential Distribution
Lesson 18 of 60 within section Statistical Programming.
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Histogram of Exponential Distribution
Lesson 19 of 60 within section Statistical Programming.
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Cumulative Plot for Exponential distribution
Lesson 20 of 60 within section Statistical Programming.
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Probability Density Function of Chi Square Distribution
Lesson 21 of 60 within section Statistical Programming.
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Chi square Distribution – Property
Lesson 22 of 60 within section Statistical Programming.
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Cumulative Plot for Chi Square Distribution
Lesson 23 of 60 within section Statistical Programming.
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Scatter Data – Plot
Lesson 24 of 60 within section Statistical Programming.
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Regression – Plot
Lesson 25 of 60 within section Statistical Programming.
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Scatter Data – 3d Plot
Lesson 26 of 60 within section Statistical Programming.
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Skewness – Plot
Lesson 27 of 60 within section Statistical Programming.
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Kurtosis Curve
Lesson 28 of 60 within section Statistical Programming.
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Correlation – Heat Map
Lesson 29 of 60 within section Statistical Programming.
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Correlation – Coloured Map
Lesson 30 of 60 within section Statistical Programming.
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t-distribution : Quantile
Lesson 31 of 60 within section Statistical Programming.
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t distribution – Properties
Lesson 32 of 60 within section Statistical Programming.
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Wilcoxon Signed Rank test
Lesson 33 of 60 within section Statistical Programming.
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Kruskal Wallis Test
Lesson 34 of 60 within section Statistical Programming.
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ANOVA – Plot
Lesson 35 of 60 within section Statistical Programming.
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Residual and Fitted Plot
Lesson 36 of 60 within section Statistical Programming.
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Normality Density Plot and Normality Quantile
Lesson 37 of 60 within section Statistical Programming.
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Mann Whitney Test
Lesson 38 of 60 within section Statistical Programming.
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Mann Whitney Plot : Histogram
Lesson 39 of 60 within section Statistical Programming.
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F Distribution : Density and Quantile Plot
Lesson 40 of 60 within section Statistical Programming.
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F Distribution : Properties
Lesson 41 of 60 within section Statistical Programming.
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F Distribution : CDF plot
Lesson 42 of 60 within section Statistical Programming.
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F Value in ANOVA
Lesson 43 of 60 within section Statistical Programming.
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RUN Chart
Lesson 44 of 60 within section Statistical Programming.
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Stem and Leaf Plot
Lesson 45 of 60 within section Statistical Programming.
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Post Hoc Analysis
Lesson 46 of 60 within section Statistical Programming.
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Pairwise Mean Difference Test
Lesson 47 of 60 within section Statistical Programming.
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Tukeys Method
Lesson 48 of 60 within section Statistical Programming.
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Normal Distribution : Critical Region
Lesson 49 of 60 within section Statistical Programming.
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Types of Error : Hypothesis Testing
Lesson 50 of 60 within section Statistical Programming.
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Discrete Variables : Properties
Lesson 51 of 60 within section Statistical Programming.
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Continuous Variables : Properties
Lesson 52 of 60 within section Statistical Programming.
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Pie Diagram
Lesson 53 of 60 within section Statistical Programming.
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Plot the Bar Diagram
Lesson 54 of 60 within section Statistical Programming.
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Mean and Variance
Lesson 55 of 60 within section Statistical Programming.
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Vector Operation
Lesson 56 of 60 within section Statistical Programming.
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Regression Line
Lesson 57 of 60 within section Statistical Programming.
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Bayes Theorem
Lesson 58 of 60 within section Statistical Programming.
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Decision Tree
Lesson 59 of 60 within section Statistical Programming.
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Karl pearson’s Coefficient of Correlation
Lesson 60 of 60 within section Statistical Programming.
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