SAS Analytics

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Introduction

SAS Studio is a web-based integrated development environment (IDE) provided by SAS for performing analytics tasks. It offers numerous benefits to data analysts and statisticians, including:

Accessibility: SAS Studio can be accessed through a web browser, providing users with the flexibility to work from anywhere, anytime. This eliminates the need for installing and maintaining software locally, making it easier to collaborate and share analyses with team members.
User-friendly Interface: SAS Studio has an intuitive and user-friendly interface, designed to make analytics tasks more accessible to users with varying levels of programming experience. It provides point-and-click functionalities, drag-and-drop features, and auto-generated code, enabling users to perform complex analyses without extensive programming knowledge.
Powerful Analytics Capabilities: SAS Studio provides a comprehensive set of tools and functionalities for data manipulation, exploration, and modeling. It supports a wide range of statistical and machine learning techniques, making it suitable for various analytical tasks, including data visualization, regression analysis, clustering, forecasting, and more. Additionally, SAS Studio integrates with other SAS products, expanding its capabilities for advanced analytics.
Code Editor and Programming Flexibility: For users with programming expertise, SAS Studio offers a code editor that allows direct coding in SAS programming language. This enables experienced users to write and execute custom SAS code, providing maximum flexibility and control over the analysis process.
Collaboration and Sharing: SAS Studio facilitates collaboration among team members by allowing multiple users to work on the same project simultaneously. It supports version control, allowing users to track changes and revert to previous versions if needed. Users can also share analyses, reports, and visualizations with others in various formats, including HTML, PDF, and Microsoft Office files.
Data Management and Integration: SAS Studio integrates with SAS data management solutions, enabling users to access, manipulate, and analyze data from different sources seamlessly. It supports data import/export from various file formats, databases, and data warehouses. Additionally, SAS Studio can connect to big data platforms, such as Hadoop, allowing users to leverage large-scale data processing and analytics capabilities.
Extensive Documentation and Support: SAS provides comprehensive documentation, tutorials, and user communities to support SAS Studio users. This vast knowledge base ensures that users can quickly find solutions to their problems, learn new techniques, and stay updated with the latest features and enhancements.

Overall, SAS Studio offers a convenient and feature-rich environment for analytics tasks, combining the power of SAS analytics with the flexibility of a web-based interface. It simplifies the analytical workflow, enhances collaboration, and empowers users to gain valuable insights from their data efficiently.

Key Modules

Data importing
Data Manipulation
Exploratory Data Analysis & Data visualization
Reporting - Output Exporting
Advanced SAS (Proc SQL - Macros) - Optimizing SAS
Know How of Statistic Concepts

SAS - Introduction - Data importing

Introduction To SAS GUI
Concepts Of Libraries, Pdv, Data Execution Etc
Building Blocks Of Sas (Data & Proc Steps - Statements & Options)
Debugging Sas Codes
Importing Different Types Of Data & Connecting To Data Bases
Data Understanding(Meta Data, Variable Attributes(Format, Informat, Length, Label Etc))
S Procedures For Data Import /Export / Understanding(Proc Import/Proc Contents/Proc Print/Proc Means/Proc Feq)

Data Manipulation

Data Manipulation Steps(Sorting, Filtering, Duplicates, Merging, Appending, Subsetting, Derived Variables, Sampling, Data Type Converstions, Renaming, Formatting, Etc)
Data Manipulation Tools (Operators, Functions, Procedures, Control Structures, Loops, Arrays Etc)
SAS Functions (Text, Numeric, Date, Utility Functions)
SAS Procedures For Data Manipulation (Proc Sort, Proc Format Etc)
SAS Options (System Level, Procedure Level)

Exploratory Data Analysis & Data visualization

Introduction exploratory data analysis
Descriptive statistics, Frequency Tables and summarization
Univariate Analysis (Distribution of data & Graphical Analysis)
Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
SAS Procedures for Data Analysis(proc freq/Proc means/proc summary/proc tabulate/Proc univariate etc)
SAS Procedures for Graphical Analysis (Proc Sgplot, proc gplot etc)
SAS Procedures for data import /export / understanding(Proc import/Proc contents/Proc print/Proc means/Proc feq)

Reporting - Output Exporting

Introduction to Reporting
SAS Reporting Procedures (Proc print, Proc Report, Proc Tabulate etc)
Exporting data sets into different formats (Using proc export)
Concept of ODS (output delivery system)
ODS System - Exporting output into different formats

Advanced SAS (Proc SQL - Macros) - Optimizing SAS

Introduction to Advanced SAS - Proc SQL & Macros
Understanding select statement (From, where, group by, having, order by etc)
Proc SQL - Data creation/extraction
Proc SQL - Data Manipulation steps
Proc SQL - Summarizing Data
Proc SQL - Concept of sub queries, indexes etc
SAS Macros - Creating/defining macro variables
SAS Macros - Defining/calling macros
SAS Macros- Concept of local/global variables
SAS Macros - Debugging techniquesHave you opened a new location, redesigned your shop, or added a new product or service? Don't keep it to yourself, let folks know.