Course information

SAS (Statistical Analysis System) Training Course Outline

Module 1: Introduction to SAS

  • SAS and Its Applications
  • Key Features and Benefits of SAS
  • Understanding the SAS Programming Language
  • Introduction to SAS Components and Modules

Module 2: Data Manipulation with SAS

  • Importing and Exporting Data in SAS
  • Reading and Writing Different File Formats
  • Data Cleaning and Validation Techniques
  • Sorting, Merging, and Appending Datasets

Module 3: Data Management in SAS

  • Creating and Modifying Variables
  • Working with Missing Values and Outliers
  • Subset Selection and Filtering Data
  • Data Transformation and Recoding Techniques

Module 4: Statistical Analysis with SAS

  • Descriptive Statistics and Data Summarization
  • Hypothesis Testing and Statistical Inference
  • Regression Analysis and Model Building
  • Analysis of Variance (ANOVA) and Covariance (ANCOVA)

Module 5: Advanced SAS Programming

  • Advanced Data Manipulation Techniques
  • Working with Complex Datasets and Structures
  • Macros and Automation in SAS Programming
  • Debugging and Error Handling in SAS

Module 6: SAS Graphics and Reporting

  • Generating Graphical Representations of Data
  • Creating Custom Reports and Summaries
  • Data Visualization Techniques in SAS
  • Presentation-Quality Output in SAS

Module 7: SAS Procedures and Functions

  • Exploring SAS Procedures for Specific Analyzes
  • Understanding SAS Functions and Their Applications
  • Using SAS Libraries and Catalogs
  • Advanced Data Processing with SAS Procedures

Module 8: SAS Data Mining and Machine Learning

  • Introduction to Data Mining and Machine Learning
  • Applying Data Mining Techniques in SAS
  • Predictive Modelling and Classification
  • Clustering and Association Analysis in SAS

Module 9: SAS for Big Data Analytics

  • Handling and Analyzing Big Data with SAS
  • Working with SAS in Distributed Computing Environments
  • Parallel Processing and Optimization in SAS
  • Big Data Visualization and Reporting

Module 10: SAS Integration and Automation

  • Integrating SAS with Other Systems and Platforms
  • Automation and Scheduling of SAS Processes
  • SAS Integration with Databases and Data Warehouses
  • Web Services and APIs in SAS Integration

Module 11: SAS Deployment and Administration

  • SAS Server Architecture and Deployment Options
  • User Management and Security in SAS
  • Performance Tuning and Optimization in SAS
  • Monitoring and Troubleshooting SAS Environments

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Who should attend this SAS (Statistical Analysis System) Training Course?

SAS (Statistical Analysis System) Training Course in New Jersey aims to help professionals acquire hands-on experience in using the SAS environment, learn coding in the SAS language, and understand how to analyze and visualize data effectively. This course can be beneficial for a wide range of professionals, including:

  • Data Analysts
  • Business Intelligence Analysts
  • Quantitative Researchers
  • Market Research Analysts
  • Operations Research Analysts
  • Senior BI Managers
  • Team Leaders

Prerequisites of the SAS (Statistical Analysis System) Training Course

There are no prerequisites required for attending the SAS (Statistical Analysis System) Training Course. However, prior experience in data analysis and familiarity with basic statistical concepts would be beneficial.

SAS (Statistical Analysis System) Training Course Overview

SAS, the Statistical Analysis System, is a powerful tool in the world of data analytics and statistics.  This comprehensive training course in New Jersey introduces participants to the capabilities of SAS and its significance in data-driven decision-making.  Whether you're a data scientist, business analyst, or a student aspiring to enter the field, this course equips you with essential skills.

Proficiency in SAS is crucial because it enables professionals in New Jersey to efficiently analyze and interpret data, turning it into actionable insights.  Data analysts, statisticians, business analysts, and even healthcare professionals stand to benefit from mastering SAS.  This course is ideal for those looking to boost their career prospects and make informed decisions using data.

This intensive 2-day training in New Jersey is designed to fast-track your understanding of SAS.  Delegates will learn how to import, clean, and transform data, conduct statistical analyzes, and create informative visualizations.  Practical hands-on exercises and real-world case studies will empower delegates to apply SAS concepts immediately in their work.  By the end of the course, you'll have the skills to efficiently work with data and gain insights that drive decision-making and business success.

Course Objectives

  • To develop proficiency in SAS programming, including procedures, functions, and macros
  • To explore predictive modelling, regression analysis, and data mining using SAS
  • To use SAS reporting tools for effective data interpretation, visualization, and reporting
  • To handle large datasets and perform complex statistical computations
  • To foster a practical understanding of SAS applications in various industries
  • To provide solid knowledge for further exploration and advanced study of SAS

After attending this training course in New Jersey, delegates will be able to build data-driven decision-making processes utilizing SAS tools and capabilities. They will be able to execute data mining on enormous databases and uncover significant patterns and trends. They will also be able to use SAS methodology and approaches to tackle real-world business challenges.

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What’s included in this SAS (Statistical Analysis System) Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • SAS (Statistical Analysis System) Certificate
  • Digital Delegate Pack

Why choose us

Our New Jersey venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

New Jersey is a state in the north east of the US, it is nick named “The Garden State”. It is one of the smallest states in the US but has a population of nearly 9 million people which makes it the 11th most populated. It is one of the wealthiest states in the US regarding household income. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree. In New Jersey there is the Education Advancement Initiative (EAI) which was created to increase the college admission rate by a minimum of 10% for New Jersey high school pupils. They are also charged with helping to decrease the dropout rate in New Jersey schools by around 15%. Another aim of this committee is to increase the amount of money that is being devoted to schools in the area. Princeton University is the top university in the state of New Jersey. It is a private Ivy League research university. It is the 11th highest ranked university in the world and is the 6th best university in the United States. Princeton provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences, and engineering. At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as New Jersey.

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Address

Dolce Basking Ridge
300 North Maple Ridge
Basking Ridge
New Jersey
07920

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data And Analytics Training | SAS (Statistical Analysis System) Training in New Jersey. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data And Analytics Training | SAS (Statistical Analysis System) Training in New Jersey, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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What our customers are saying

Big Data And Analytics Training | SAS (Statistical Analysis System) Training in New Jersey FAQs

SAS stands out for its versatility, offering a comprehensive suite for data analysis, statistical modeling, and business intelligence, making it suitable for end-to-end analytics workflows.
The SAS system comprises Base SAS for data management, SAS/STAT for statistical analysis, SAS/GRAPH for visualization, and other modules for specialized tasks, providing a robust analytics environment.
SAS is crucial for data-driven decision-making, enabling organizations to derive valuable insights from data through statistical analysis, predictive modeling, and business intelligence.
SAS tools facilitate data analysis, reporting, and modeling, empowering users to extract meaningful information, make informed decisions, and solve complex business problems.
Yes, SAS can handle big data through technologies like SAS Viya, enabling scalable and parallel processing for large datasets.
SAS is suitable for beginners, offering user-friendly interfaces and extensive documentation. Many introductory courses cater to individuals with minimal prior experience in data analytics.
There are no formal prerequisites to attend this SAS Online Course.
Individuals aspiring to work in data analytics, business intelligence, or statistical analysis roles should attend SAS Courses to acquire skills relevant to these fields.
SAS Courses are designed for accessibility, and the learning curve is manageable, especially for beginners, given the user-friendly interfaces and guided resources.
The duration of SAS Training Courses is 2 days.
SAS Training covers data manipulation, statistical analysis, and reporting, equipping participants with skills to handle diverse analytics tasks using SAS tools.
Completing SAS Training Courses enhances career prospects by making individuals proficient in analytics, a sought-after skill in various industries, leading to opportunities in data analysis, business intelligence, and more.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking SAS Certification Course.
The training fees for SAS (Statistical Analysis System) Trainingin New Jersey starts from $3195
The Knowledge Academy is the Leading global training provider for SAS (Statistical Analysis System) Training.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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