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    Statistics for Data Analysis Using R

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 3299

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 3,299
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Getting Started With R and R studio

    • Introduction - Section 1
    • Installing R and R Studio (Windows)
    • The First Look of R and R Studio. R you ready?
    • The First Look at the Functions in R
    • Saving the R Script File
    • Data Types in R
    • Simple Mathematical Operations
    • Download - Section 1 Notes and Codes
    • Section 1 - Practice Assignment

    Bonus Section: Descriptive Statistics Theory (Lessons From My Other Course)

    • Introduction - Section 2
    • Understanding Basic Statistical Terms (Theory)
    • Descriptive Statistics (Theory)
    • Measurement of Central Tendency (Theory)
    • Measurement of Variation (Theory)
    • Download - Section 2 Slides

    Descriptive Statistics Using R

    • Introduction - Section 3
    • Getting Help
    • Measurement of Central Tendency - Mean (Using R)
    • Measurement of Central Tendency - Median and Mode (Using R)
    • Measurement of Variation - Range, IQR and Standard Deviation (Using R)
    • Download - Section 3 Notes and Codes
    • Section 3 - Practice Assignment

    Vectors, Factors, Lists, Matrix and Data Frames in R

    • Introduction - Section 4
    • Introduction
    • Vectors Explained
    • Factors Explained
    • Lists Explained
    • Matrix Explained
    • Data Frames Explained
    • Download - Section 4 Notes and Codes
    • Section 4 - Practice Assignment

    Data Visualization

    • Introduction - Section 5
    • Your first plot in R
    • *** Scatter Plot ***
    • Add the Plot Main and Axis Lebel Text
    • Let's Draw Some Lines on the Plot
    • Change the Plot Characters (pch) from Circles to Plus Signs
    • Let's Look at Filtered Data
    • One is not enough, I want more plots on a single page!
    • Add text to the plot
    • Make plot colorful, and text bigger and bold
    • Multiple pairs of scatter diagrams - when one plot is not enough!
    • Time Series Plot
    • ***Histogram***
    • *** Box and Whisker Plot ***
    • Download - Section 5 Notes and Codes
    • Section 5 - Practice Assignment

    Descriptive Statistics Re-Visited

    • Introduction - Section 6
    • Descriptive Statistics Using psych Package
    • Download - Section 6 Notes and Codes

    Bonus Section - Basic Probability Theory (Lessons From My Other Course)

    • Introduction - Section 7
    • Probability Definition
    • Probability - Union and Intersection
    • Probability - The Law of Addition, Multiplication and Conditional Probability
    • Factorial, Permutations and Combinations
    • Download - Section 7 Slides

    Probability Distributions

    • Introduction - Section 8
    • Central Limit Theorem (Theory)
    • Central Limit Theorem Demonstration Using R
    • *** Normal Probability Distribution (Theory) ***
    • R Functions for Normal Distribution - rnorm, pnorm, qnorm and dnorm
    • Plotting Normal Distribution Using R Functions
    • Introducting "visualize" Package
    • *** Binomial Probability Distribution (Theory) ***
    • R Functions for Binomial Distribution - rbinom, pbinom, qbinom and dbinom
    • Plotting Binomial Distribution Using R Functions
    • Binomial Distribution using Visualize Package
    • *** Poisson Distribution (Theory) ***
    • R Functions for Poisson Distribution - rpois, ppois, qpois and dpois
    • Plotting Poisson Distribution Using R Functions
    • Poisson Distribution using Visualize Package
    • Download - Section 8 Notes and Codes

    Inferential Statistics - Hypothesis Tests

    • Introduction - Section 9
    • Types of Mean and Variance Tests
    • Hypothesis Testing - Types of Errors (Theory)
    • What is p value? (Theory)
    • *** Hypothesis Testing - One Sample Z Test (Theory) ***
    • One Sample z Test Using R
    • One Sample z Test using BSDA Package
    • *** One Sample t Test (Theory) ***
    • One Sample t Test Using R
    • Visualizing One Sample t Test Results using Visualize Package
    • *** One Sample Variance Test - Chi Square Test (Theory) ***
    • One Sample Variance Test Using Envstats Package
    • Chi Square Distribution for One Sample Variance Test
    • *** Two Sample Z Test (Theory) ***
    • Two Sample Z Test Using R
    • Visualizing Two Sample Z Test Using Visualize Package
    • Two Sample Z Test for Populations with Different Means
    • *** Two Sample t Test (Theory) ***
    • Two Sample t Test (Equal Variance) Using R
    • Two Sample t Test (Unequal Variance) Using R
    • *** Paired t Test (Theory) ***
    • Paired t Test Using R
    • *** Two Sample Variance Test Using F Test (Theory) ***
    • Two Sample Variance Test (F Distribution) Using R
    • Visualizing Two Sample Variance Test Results using Visualize Package
    • *** ANOVA Introduction (Theory) ***
    • Understanding the concept behind ANOVA without doing any calculation.
    • Formulas and calculations in ANOVA (Theory)
    • ANOVA Example Using Manual Calculations (Theory)
    • Analysis of Variance (ANOVA) Using R
    • Post-Hoc Test - TukeyHSD
    • *** Goodness of Fit Test (Theory) ***
    • Goodness of Fit Test Using R - Example 1
    • Goodness of Fit Test Using R - Example 2
    • *** Contingency Tables (Theory) ***
    • Contingency Table Using R - Example 1
    • Contingency Table Using R - Example 2
    • Download - Section 9 Notes and Codes

    Bonus Section

    • BONUS LECTURE

    Instructors

    Mr Sandeep Kumar

    Mr Sandeep Kumar
    Quality Director
    Freelancer

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