SAS Training
SAS Training Course Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Step up your data analytics game with our Comprehensive SAS Training Program—designed to equip you with the skills you need for success in data science, business intelligence, and beyond! Whether you’re a beginner or looking to advance your expertise, our course will guide you through mastering SAS, one of the most powerful tools for data management and analysis.
- 10+ Courses
- 30+ Projects
- 400 Hours
SAS Training is suitable for the following target audiences:
Data Analysts: Experts who want to use SAS to improve their data analysis skills.
Statisticians: People who wish to use statistical techniques in a variety of industries, such as research, healthcare, and finance.
Business Analysts: Business analysts are people who want to use data insights to make business decisions.
IT Professionals: Experts who want to incorporate SAS solutions for analytics and data management within their companies.
Graduates and students: People looking to work in business intelligence, analytics, or data science.
Data Analyst: Data analysts help company strategies by analyzing and understanding complicated datasets.
Statistical Analyst: Using statistical methods to address practical issues in industries such as banking and healthcare.
Business Intelligence Analyst: Making data-driven dashboards and reports to assist in decision-making is the responsibility of a business intelligence analyst.
Data Scientist: Using machine learning and sophisticated analytics to make predictions.
Clinical Data Manager: overseeing and evaluating clinical trial data for the pharmaceutical and medical sectors.
These positions, which offer excellent pay and chances for career advancement in both the USA and Canada, are in demand across a variety of industries.
- An overview of SAS applications and analytics
- Overview of the SAS architecture and interface
- Comprehending datasets and libraries
- A SAS program’s structure (DATA and PROC steps)
- Making and executing simple SAS scripts
- Bringing in CSV and Excel files
- Practical: Create basic software to read and examine datasets.
- Making datasets with the DATA step
- Types and characteristics of variables
- Statements with conditions (IF-THEN-ELSE)
- Iterative processing and loops
- Data transformation and cleaning
- Taking care of missing values
- Practical: Clean and modify unprocessed sales data.
- PROC FREQ, PROC PRINT, and PROC SORT
- Both descriptive statistics and PROC MEANS
- For personalized reporting, use the PROC FORMAT.
- Data subsetting and filtering
- Making summaries of reports
- Practical: Produce prepared reports and statistics summaries.
- Joining and combining datasets
- SQL, SET, and MERGE operations
- Overview of PROC SQL
- Eliminating duplicates
- Making derived variables
- Methods for validating data
- Practical: Use PROC SQL and DATA step to merge several datasets.
- Central tendency and variability measures
- Basics of hypothesis testing
- TTEST PROC
- ANOVA PROC
- Basics of regression and correlation
- Analyzing output results
- Practical: Test hypotheses using sample datasets.
- Using PROC REPORT to create reports
- Chart generation using PROC SGPLOT
- Report exporting to PDF and Excel
- Changing the layout of reports
- Automating the creation of reports
- Hands On: Create a report on a professional performance dashboard.
- Overview of the SAS Macro Language
- Parameters and macro variables
- Making programs that are reusable
- Automating routine activities
- Troubleshooting macros
- Best practices for coding
- Practical: Create an automated report that is driven by macros.
- Full-cycle data analysis undertaking
- A case study from the real world
- Typical questions for an SAS interview
- Presentation of the final project
No, the course begins with the fundamentals and works its way up to more complex subjects.
Yes, it is intended for novice and intermediate students.
Yes, the curriculum covers PROC SQL.
Indeed, reporting and statistical methods are the main topics in Weeks 5 and 6.
Yes, the course makes use of real-world datasets.
Yes, you will use SAS procedures to create reports and charts.
At first, it could appear complicated, but with practice, everything is explained step-by-step.
Data analyst, reporting analyst, statistical analyst, or SAS programmer.
Indeed, a certificate of course completion is given.
Yes, SAS is extensively utilized in the government, banking, healthcare, and pharmaceutical industries.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You will have access to the recordings, along with support from instructors and peers in our program learning portal.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp. We’ll help you with batch schedules and payment options.
Email info@checkmateit Call Us +1-347-408205
- Submit Form
Job opportunities in USA and Canada
Data Analyst: Data analysts help company strategies by analyzing and understanding complicated datasets.
Statistical Analyst: Using statistical methods to address practical issues in industries such as banking and healthcare.
Business Intelligence Analyst: Making data-driven dashboards and reports to assist in decision-making is the responsibility of a business intelligence analyst.
Data Scientist: Using machine learning and sophisticated analytics to make predictions.
Clinical Data Manager: overseeing and evaluating clinical trial data for the pharmaceutical and medical sectors.
These positions, which offer excellent pay and chances for career advancement in both the USA and Canada, are in demand across a variety of industries.
