Sas Programming For Beginners

Learn SAS programming from scratch

What you'll learn

Components of the Statistical Analysis Software

Data-Driven Tasks

Turning Data into Information

Introducing to Statistical Analysis Software Programs

Running Statistical Analysis Software Programs

Mastering Fundamental Concepts

Diagnosing and Correcting Syntax Errors

Statistical Analysis Software Data Libraries

Getting Started with the PRINT Procedure

Sequencing and Grouping Observations

Identifying Observations

Special WHERE Statement Operators

Customizing Report Appearance

Formatting Data Values

Creating HTML Reports

Reading Raw Data Files: Column Input

Reading Raw Data Files: Formatted Input

Examining Data Errors

Assigning Variable Attributes

Changing Variable Attributes

Reading Excel Spreadsheets

Reading Data Sets and Creating Variables

Conditional Processing

Dropping and Keeping Variables

Reading Excel Spreadsheets Containing Date Fields

Concatenating Data Sets

Merging Data Sets

Combining Data Sets : Additional Features

Introduction to Summary Reports

Basic Summary Reports

The Report Procedure

The Tabulate Procedure

Producing Bar and pie Chart

Enhancing output

Producing Plots

Requirements

No prior SAS experience is needed.

Basic computing knowledge

Description

Ready to launch your data analysis career? This course is perfect for anyone new to SAS programming, with a basic understanding of computers.Empower yourself with the skills to unlock the secrets hidden within your data and propel your career forward.This comprehensive course equips you with the foundational knowledge of SAS programming, the industry-standard tool for data manipulation and analysis. You'll gain hands-on experience in:Data Access and Exploration: Learn how to retrieve data from various sources like SAS datasets, Excel files, and text files. Explore your data to identify patterns and trends.Data Cleaning and Preparation: Master techniques to address inconsistencies, missing values, and formatting issues within your data to ensure accurate analysis.Data Transformation: Transform your data into the desired format for efficient analysis. This includes filtering rows, calculating new columns, and performing conditional operations.Statistical Analysis and Reporting: Conduct in-depth statistical analysis using powerful techniques. Generate clear and informative reports with visualizations to effectively communicate your findings.This course is perfect for:Individuals seeking to launch a career in data analysis.Professionals seeking to enhance their data-driven decision-making skills.Anyone with a basic understanding of computers who wants to leverage the power of SAS programming.No prior SAS experience is required!Enroll now and embark on your exciting journey towards becoming a data-driven professional!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 SAS Profile Creation-1

Lecture 3 SAS Profile Creation -2

Lecture 4 SAS Data Libraries

Section 2: List report producing

Lecture 5 Proc print

Section 3: Descriptor portion of Datasets

Lecture 6 Proc contents

Section 4: Customizing Report Appearance

Lecture 7 Label Statement

Lecture 8 Option statement

Lecture 9 SAS System Format

Lecture 10 SAS User defined format

Lecture 11 ODS-HTML & PDF (Output Delivery System)

Section 5: Create a dataset from raw data file

Lecture 12 Column input

Lecture 13 Formatted Input & Informat

Lecture 14 The datasets Procedure

Lecture 15 Reading Excel Spreadsheets

Section 6: DATA Step Programming

Lecture 16 Reading SAS Data Sets and Creating Variables

Lecture 17 Compiling the DATA Step

Lecture 18 SAS Functions

Lecture 19 Selecting Variables

Lecture 20 Conditional Processing

Lecture 21 Subsetting Rows

Lecture 22 SAS date Constants

Section 7: Combining SAS Data Sets

Lecture 23 Concatenating SAS Data Sets

Lecture 24 Merging SAS Data Sets

Section 8: Producing Summary Reports

Lecture 25 Introduction of Summary Reports

Lecture 26 Crosstabular Frequency Reports

Lecture 27 The REPORT Procedure

Lecture 28 Analysis Variables

Section 9: Data visualisation

Lecture 29 Graphically Summarizing Data

Any professional who is interested to learn SAS Programming certification