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Introduction to Base SAS - In-house training

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Pairview Training

Summary

Price
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Study method
Onsite
Qualification
No formal qualification
Additional info
  • Tutor is available to students

Overview

You will learn to…Import a variety of data formatsIteration and evaluation of DataClean & pre-process data in preparation for analysisPre-process unstructured data for text-miningAbout this course

This instructor-led course provides delegates with an overview of data mining as well as the fundamentals of using some of the most in-demand tools (e.g. SPSS, SAS, etc.) for advanced predictive analytics. The principles and practice of data mining are illustrated throughout the training using the CRISP-DM methodology and follows the stages of a typical data mining project. Each stage of the course will take you through each step of a typical data mining project from reading data to data exploration, data transformation, modelling, and effective interpretation of results. The course equips delegates with the basics of how to read, explore, and manipulate data with one of these concerned tools.

4 Benefits of booking this course with usBenefit 1Intensive training in some of the most commonly used platforms by data scientists, statisticians, analysts who need to make sense of data (e.g. SPSS, SAS, R, etc.) .Benefit 2Hands-on, practical experience of applying the skills in different business scenarios.Benefit 3Numerous career opportunities with average salaries to £60,000 – £80,000, provided by attentive experienced industry practitioners.

Description

  • Module 1: Introduction to SAS Programmes
    SAS System
    SAS Syntax
    SAS Programming Process
    Rules within SAS programming
  • Module 2: Introduction to SAS Programmes
    SAS Libraries:
    Permanent SAS Files
    Temporary SAS Files
    FILENAME & LIBNAME Statements
  • Module 3: Accessing External & Reading Raw Data files into SAS using DATA STEP
    Types of data SAS can read
    Reading raw data file into SAS not in standard format
    Reading external data into SAS
    Reading Spreadsheet
    Reading text file
    Getting external data into SAS (Infile, Input, Proc)
  • Module 4: How to Import Data from SQL SERVER into SAS
    How to map/link SAS to SQL server (2008,2012,2014) etc
    How to import data into SAS from SQL server
    Reading Database Table file
    How to convert the SQL server data into a SAS File
  • Module 5: Formatting Data Values
    Variables Attributes
    Understanding Numeric Expressions and Assignment Statements
    Missing Values
    Character Variables
    Numeric Variables
    Date variables
    Currency Variables
  • Module 6: Modifying and Combining SAS Data Sets
    Modifying a Dataset using the SET statement
    Using Data statement to Stack multiple data sets
    Using Data statement to Merge multiple data set
  • Module 7: Manipulating and Transforming Data
    Informants and Formats
    Data Set Option (Drop, Keep, Firstobs, Obs)
    PROC STEP
  • Module 8: Producing Detailed and Summary Reports
    Using PROC means
    PROC sort
    PROC Freq
    PROC Contents
    PROC Summary
    PROC Tabulate
    PROC Rank
    PROC Print
    PROC Report
    PROC Univariate etc…
    Module 9: Using Basic Graphs and Statistical Procedure
    Producing Statistics with PROC MEANS
    Producing Statistics with PROC MEANS
    Creating Bar Charts
    Creating Histograms
    Creating Scatter Plots

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

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