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    Applied Statistical Modelling with SAS

    Posted By: lucky_aut
    Applied Statistical Modelling with SAS

    Applied Statistical Modelling with SAS
    Duration: 3h 55m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.22 GB
    Genre: eLearning | Language: English

    Hands on Linear Regression, Logistic Regression, Cluster Analysis, Principal Component Analysis, Factor Analysis

    What you'll learn:
    How to program in SAS
    Use SAS for Machine Learning Algorithms
    Use SAS for Statistical modelling
    How to interpret the odds ratios
    Understand regression analysis
    Make data driven decision
    Dimension Reduction Techniques
    Perform Goodness of fit Tests
    Write a neat SAS code

    Requirements:
    No SAS experience needed. You will learn everything

    Description:
    *Looking for a course that well explain Statistical Models & ML algorithms using SAS*
    Do you want to learn how to use SAS for regression analysis?
    Are you starting your SAS journey?
    Are you looking for a course that teaches you how to well interpret statistics p-values, hypothesis tests as well as Applied Statistical Modelling?
    If you are that person that you are about to enroll in the best course to guide you!
    Your Instructor has more than 3 years of SAS experience, deep knowledge of Statistical modelling, Data Analysis, as well as Data Science. You will enjoy this course. It includes lot of practical knowledge on how to perform statistical tests.
    Why learn SAS?

    SAS jobs !
    Try to search for “SAS Jobs” online. Your search is sure to turn up many current job listings that require a variety of SAS expertise. Since, SAS emerges as a key research data analysis tool, it is in demand in the market. Every company is looking for SAS resources.

    SAS is fun !
    It is fun learning SAS. It provides easy way to access multiple applications. It relies on user-written scripts or “programs” that are processed when requested to know what to do. Because it is a script-based application, the key to being successful using SAS is learning the rules and tricks of writing scripts. It works with large data and generate graphs and report.

    Data Analysis
    SAS is versatile and powerful enough for data analysis. SAS is flexible, with a variety of input and output formats. It has numerous procedures for descriptive, inferential, and forecasting types of statistical analyses. Because the SAS System is an integrated system with similar architecture shared by modules or products, once you master one module, you can easily transfer the knowledge to other modules.

    By the end of this course you will be able to:
    Use SAS libraries to access data
    Manipulate data using sas if statements
    Use sas loops
    Understand the difference between Statistical modelling and Machine Learning
    Perform Regression Analysis using PROC REG & PROC LOGISTIC
    Select model with Backward, Forward & Stepwise method selection
    Perform Cluster Analysis
    Understand Principal Component Analysis and when to use it
    Understand Factor Analysis and when to use it
    The course will help you implement statistical analysis and interpret the results.
    After the end of the course you will be able to make data driven decisions.
    Don't miss this opportunity of continuous learning.

    Who this course is for:
    Everyone willing to learn SAS
    Everyone willing to learn statistical modelling using SAS

    More Info

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