Big Data And Analytics Training | SAS (Statistical Analysis System) Training in Columbia

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 Data in SAS
• Data Cleaning and Validation Techniques

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 Summarisation
• Hypothesis Testing and Statistical Inference
• 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 Visualisation Techniques in SAS
• Presentation-Quality Output in SAS

Module 7: SAS Procedures and Functions

• Exploring SAS Procedures for Specific Analyses
• Understanding SAS Functions and Their Applications
• Using SAS Libraries
• 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 in SAS

Module 9: SAS for Big Data Analytics

• Handling and Analysing Big Data with SAS
• Parallel Processing and Optimisation in SAS
• Big Data Visualisation 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 Optimisation in SAS
• Monitoring and Troubleshooting SAS Environments

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

SAS (Statistical Analysis System) Training Course in Columbia 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 Columbia 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 Columbia 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 Columbia 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 Columbia, 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.

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