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    2 Days Live Training on Statistics for Data Science and Machine Learning

    BY
    Simpliv Learning

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    Mode

    Online

    Duration

    2 Days

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Virtual Classroom
    Mode of Delivery Video and Text Based

    Course and certificate fees

    certificate availability

    No

    The syllabus

    Statistics - An Introduction

    Measure of Central Tendency

    Measure of Spread - Part 1 (Range, IQR, Variance, Standard Deviation and MAD)

    Regression - In-Depth

    • Regression - An Introduction  
    • Covariance and Covariance Matrix  
    • Karl Pearson Correlation Coefficient  
    • Spearman Rank Correlation Coefficient  
    • Residuals  
    • R-Square and RMSE

    Normal Distribution

    Statistics - Symmetric Distribution, Skewness, Kurtosis and KDE

    Probability

    Permutation and Combination

    Combinatorics and Probability

    Random Variables

    Distributions

    • Binomial and Bernoulli Distribution - Part 1

    Sample Distribution and Central Limit Theorem

    Confidence Interval

    TStatistic

    Significance Tests

    • Significance Tests - An Introduction  
    • Type 1 and Type 2 Errors  
    • Constructing Hypothesis  

    Chi-Squared Distribution

    Advanced Regression - Inference and Transforming

    ANOVA and F-Statistic

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