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    • Complete SAS Programming Bootcamp 2019 go from Zero to Hero

    Complete SAS Programming Bootcamp 2019: Go from zero to hero

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    Lavel

    Beginner

    Mode

    Online

    Fees

    ₹ 1499

    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
    ₹ 1,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Setting Up Your SAS Environment and Download the Data!

    • Setup your SAS Environment with SAS WPS Analytics
    • Setup your SAS Environment with SAS University Edition

    Welcome to the world of SAS!

    • What can you do with SAS?
    • What is a SAS Program? How does the syntax work in SAS?
    • SAS Libraries (Libname Statement)
    • What is a SAS Data Set? Proc Contents and Proc Print
    • Types of Variables in SAS
    • Filter data using the WHERE statement - Operators (Logic, Comparison, Arithmetic
    • Special Operators for the WHERE statement
    • What is a SAS Format?
    • Dates and Date Formats in SAS
    • Creating a user-defined format using Proc Format
    • Ordering data and creating reports by Groups using the BY statement
    • Improve the aesthetics of a report adding Titles, Footnotes, Labels.

    Data Manipulation I (Learn to use the powerful Data Step!)

    • Learn to read a SAS Data Set with the Data Step
    • Creating Variables and Filtering Variables with the KEEP & DROP statements
    • Difference between filtering with the WHERE and Subsetting IF statements
    • Adding Permanent Attributes using the LABEL, FORMAT, and LENGTH statements
    • How does Data Step Processing works?
    • Using simple functions and learning to get frequencies using PROC FREQ
    • Process data conditionally using IF-THEN/ELSE statements
    • Execute multiple statements conditionally using DO and END statements

    Summarizing Character and Numeric Data! (Proc Freq, Means, Univariate)

    • Summarize Character Data in Frequencies using Proc Freq!
    • Create Contingency Tables (2x2 table) with Proc Freq!
    • Summarize Numeric Variables with Proc Means (N Mean Median Std Min Max etc..)
    • Summarize Numeric Data (Proc Univariate: Quantiles, Central Tendency Measures)

    Importing Data (Excel, CSV, Tab) in different formats/structures

    • Using the PUT function to convert Numeric Variable to Character Variable
    • Using INPUT function and INFORMATS to convert Character to Numeric variables
    • Using PROC IMPORT to import different file formats (csv, xlsx, txt)
    • [Advanced] Other techniques to Read Data using Data Step
    • [Advanced] COLUMN INPUT technique to read data organized in columns
    • [Advanced] FORMATTED INPUT technique to read Non Standard data organized in columns
    • [Advanced] MODIFIED LIST INPUT technique to read delimited data (Non/Standard Data

    Data Manipulation II (Controlling Input and Output, Accumulating Totals & more!)

    • Writing Observations Explicitly (Output Statement)
    • Writing to Multiple SAS Data Sets
    • Optimize the processing using SAS Data Set Options (Firstobs=, obs=, Keep=)
    • More Data Set Options (Rename = , Where=)
    • Create an Accumulating Total Variable (Process data vertically - RETAIN statement)
    • Accumulating Totals for a Group of Data using the BY Statement and Data Step
    • Accumulating Totals for more than One Group using the By statement and Retain

    SAS Functions (Character & Numeric Functions)!

    • Character Functions to Extract Text ! (SUBSTR, LENGTH)
    • More functions to Extract Text from String! (RIGHT, LEFT, CHAR, PROPCASE)
    • More Character Functions (SCAN, INDEX, CATX, TRIM, STRIP)!
    • Character Functions to Concatenate Strings (CAT, CATT, CATS)!

    Working with Dates Values (Dates - , Datetime - , Time Values

    • Introduction to SAS Dates (Date Values - Datetime Values - Time Values)
    • Converting Dates stored in text (Character) to Date Values (Numeric)
    • Converting Date Values (Numeric) to text (Character)
    • Using the INTCK() function to calculate difference of 2 dates (in months, years)
    • Using INTNX() function to increment a date (in years, months, qtrs, days, etc)
    • Calculate difference between Dates using the DATDIF() function

    Learning to Combine Data (Concatenating and Merging/Joins)

    • Concatenate Data using the Set Statement in the Data Step - Part 1
    • Concatenate Data using the Set Statement in the Data Step - Part 2
    • Concatenate Data using Proc Append
    • Understand how data can be related (One-to-One, One-to-Many, Many-Many)
    • Using Merge to get all types of Joins (Left, Right, Inner, Full Join, etc)
    • Learn how to merge data in a One-to-One and One-to-Many Scenario
    • Warning on Merge Statement in a Many-to-Many scenario, use SQL instead.

    Do Loops - Processing Data Iteratively

    • Introduction to Do Loops (Iterative, Do Loop)
    • Business Scenario using Iterative, Do-Loops
    • Introduction to Infinite Loops (Do While and Do Until)
    • Business Scenario using Do While/Do Until
    • Solving a Business Scenario Using Iterative, Do Loops and Do While/Until
    • Learn to use Nested Do Loops to solve real problems!

    Working with Arrays and Learning to Transpose Data

    • Introduction to Arrays
    • Ways to reference Variable Lists in Arrays
    • Create and Compare different variables using Arrays
    • Using Arrays as a LookUp Table to make comparisons
    • Exercise 1 - Using Arrays to look for the Max Sale using INDEX and VNAME function
    • Exercise 2 - Using Arrays as a lookup Table to find Antibiotics in prescriptions
    • Using Arrays to Restructure a Dataset (Transpose and Stack Columns)
    • Intro to Proc Transpose (Easiest way to Transpose/Stack Columns in SAS)

    Pivot Tables in SAS using Proc Tabulate!

    • Introduction to Proc Tabulate
    • Creating the Structure of the Table: One- ,Two- , Three- Dimensional Tables
    • Creating the Structure of the Table: Concatenating and Crossing Variables
    • Adding Overall Summarizations using the Keyword ALL (Totals, SubTotals)
    • Adding Statistics to the Analysis Variables (Median, Quartiles, Percentiles)
    • Adding different Percentages (Column-, Row-, Report- Percentages)
    • Specify a denominator to calculate Percentages using keyword PCTN
    • Improve the Aesthetics changing Labels, KeyLabels, Formats
    • Adding Formats to Percentages and Customize missing Values
    • Creating a Professional Report with Proc Tabulate in 20 mins!

    Creating Reports with Proc Report!

    • Introduction to Proc Report - Variable Usages
    • Learn to Create Detail Report Using the Display and Order Usage
    • Learn to Create Summary Reports using the GROUP Usage and Add Statistics
    • Learn to Transpose a Variable with the Across Usage
    • Learn how to create a variable in a Report using the Computed Usage

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