Statistical Data Analysis Using R

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    Statistical Data Analysis Using R

    Statistical Data Analysis Using R

    Learn Descriptive and Inferential Statistics, Data Visualization, Hypothesis Testing and Probability Distribution

    What you’ll learn

    About Qualitative, Quantitative, Bivariate and Multivariate Data
    Descriptive Statistics ie of Mean, Median, Quartiles, Quantiles, Variance and Standard Deviation
    Correlation and Covariance
    Applications of Descriptive Statistics on Stock Price Data
    Probability Distributions
    Inferential Statistics – Hypothesis Testing
    Fundamentals of R Programming & Work with RStudio
    Use Vectors, Matrices, Lists, Data Frames
    Importing and Handling CSV files
    Using dplyr Package for Data Wrangling or Handling
    Data Visualization in R

    Statistical Data Analysis Using R


    No prior knowledge or technical backgrounds is required


    Welcome to this course of Statistical Data Analysis Using R, and become an R Professional which is one of the most favored skills, that employer’s need.

    Whether you are new to statistics and data analysis or have never programmed before in R Language, this course is for you! This course covers the Statistical Data Analysis Using R programming language. This course is self-paced. There is no need to rush – you learn on your own schedule.

    This course will help anyone who wants to start a саrееr as a Data Analyst.

    This course begins with the introduction to R that will help you write R code in no time. This course will provide you with everything you need to know about Statistics.

    In this course we will cover the following topics:

    · R Programming Fundamentals

    · Vectors, Matrices & Lists in R

    · Data Frames

    · Importing Data in Data Frame

    · Data Wrangling using dplyr package

    · Qualitative and Quantitative Data

    · Descriptive and Inferential Statistics

    · Hypothesis Testing

    · Probability Distribution

    This course teaches Data Analysis and Statistics in a practical manner with hands-on experience with coding screen-cast.

    Once you complete this course, you will be able to perform Data Analysis to solve any complex Analysis with ease.

    Who this course is for:

    Beginner who wants to apply R for Statistics and Data Analysis

    Course information :

    Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 44100 Hz
    Language: English | VTT | Size: 2.08 GB | Duration: 8 hours

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