Base SAS 9.4 Training
Teaching learners the basics of SAS programming, data processing, and statistical analysis with the SAS 9.4 software is the main goal of Base SAS 9.4 Training. Important subjects covered in the training include data step programming, dataset creation and management, report generation, and basic statistical analysis. It offers a solid basis for managing and analyzing data with SAS tools.
- 10+ Courses
- 30+ Projects
- 400 Hours
Base SAS 9.4 Training is suitable for the following target audiences:
Data Analysts: Data analysts deal with data and wish to improve their capacity to handle, interact with, and evaluate huge datasets using SAS.
Statisticians: Experts who use SAS programming to hone their statistical modeling and data analysis abilities.
Healthcare Analysts: Healthcare analysts analyze healthcare data and want to use SAS for reporting, clinical trials, or medical research.
Business Analysts: Business analysts want to use Base SAS to automate their data processing and reporting operations and obtain insights from data.
IT Professionals: IT experts looking to apply their knowledge of SAS programming to data processing, reporting, and management across various sectors.
Data Analyst: Data analysts gather, clean, and analyze data using SAS to help guide decisions in various sectors, including marketing, finance, and healthcare.
SAS Programmer: Writing SAS code to handle, analyze, and report data is what SAS programmers do. They are frequently found in sectors like banking, insurance, and pharmaceuticals.
Statistical Analyst: Using SAS’s statistical methodologies and procedures to analyze data and offer insights for research projects or enterprises.
Clinical SAS Programmer: Using SAS for clinical data management, trials, and reporting; employed in the pharmaceutical or healthcare industries.
Business Intelligence Analyst: Using SAS to create dashboards and reports that assist firms in making data-driven choices.
Professionals with SAS abilities are in high demand in a variety of industries, including government, healthcare, research, and finance, both in the USA and Canada. These positions offer excellent pay and chances for professional advancement.
- A look at SAS and how it can be used in data analytics
- Getting to know the SAS 9.4 interface and environment
- Getting to know SAS libraries and datasets
- Fundamentals of SAS programming structure
- How to get around in the SAS environment
- The structure and syntax of SAS
- Processing data steps in SAS
- Making and changing datasets
- Using variables and different types of data
- Bringing in and sending out data
- Methods for changing data
- Dealing with missing values and duplicates
- Putting datasets in order and filtering them
- Using SAS procedures to change data
- Checks for data quality and validation
- Learn about PROC statements in SAS
- Using PROC PRINT, PROC SORT, and PROC MEANS
- Making summary statistics
- Formatting and reporting data
- Making reports that are organised
- Loops and conditional processing
- Merging and concatenating data
- Using functions and arrays
- Handling variables for dates and times
- Making SAS code that can be used again
- Analysis and descriptive statistics
- Making reports with SAS
- The basics of data visualisation
- Making graphs and charts
- Comprehending analytical results
- Getting Started with SAS Macros
- Making tasks that happen over and over again automatic
- Ways to improve performance
- Fixing and debugging programs
- Best ways to program in SAS
- Help with writing a resume and preparing for an interview
- Presentation of the final project
- Mock Interviews & Job Placement
It’s a class that teaches how to use SAS 9.4 to manage, program and analyse data.
No, even people who have never used SAS before can learn it.
The course is all about SAS (Statistical Analysis System) and the SAS 9.4 environment, which is a software suite used for advanced analytics, business intelligence, and data management.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Absolutely! Students do hands-on data analysis projects.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
Business Analyst, Data Analyst, SAS Programmer and Statistical Analyst.
Yes, SAS is used a lot in fields like healthcare, finance, and drug research, where it helps in data analysis, predictive modelling and decision-making processes.
Yes, it helps you get ready for the SAS Certified Specialist: Base Programming Using SAS 9.4 exam, which is a certification that validates your skills in using SAS software for data management and analysis.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
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Job opportunities in USA and Canada
Data Analyst: Data analysts gather, clean, and analyze data using SAS to help guide decisions in various sectors, including marketing, finance, and healthcare.
SAS Programmer: Writing SAS code to handle, analyze, and report data is what SAS programmers do. They are frequently found in sectors like banking, insurance, and pharmaceuticals.
Statistical Analyst: Using SAS’s statistical methodologies and procedures to analyze data and offer insights for research projects or enterprises.
Clinical SAS Programmer: Using SAS for clinical data management, trials, and reporting; employed in the pharmaceutical or healthcare industries.
Business Intelligence Analyst: Using SAS to create dashboards and reports that assist firms in making data-driven choices.
Professionals with SAS abilities are in high demand in a variety of industries, including government, healthcare, research, and finance, both in the USA and Canada. These positions offer excellent pay and chances for professional advancement.
