SAS Programming

Course Information

Duration: 36 Weeks

Time 1 Hour/Week

CI Code: CODE104

Location: Virtual, Live

Course Fee: Free With Membership / $199 Without Membership

Start Date: Course Schedule Below

Course Time: Check Registration

Student Age Eligibility: 8 - 17 Years

CI Courses

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Expert teachers

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Virtual Students

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Course Hours

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Why Coding Institute

Study SAS Programming with CI

Objective: This course introduces students to SAS (Statistical Analysis System), a widely used software suite for advanced analytics, data management, and predictive analytics. Students will gain skills in SAS programming, data manipulation, statistical analysis, and report generation, valuable for careers in data analysis, business intelligence, and healthcare.

Methods: Interactive lectures, hands-on programming exercises, and practical case studies to build a strong foundation in SAS.

Skills Gained:

Proficiency in SAS syntax and programming environment
Ability to manage, clean, and manipulate data
Conducting statistical analyses and interpreting results
Generating reports and visualizations
Developing problem-solving skills for data-intensive applications

Understand the fundamentals of SAS syntax and data structures.
Write and execute programs for data manipulation and analysis.
Perform statistical analyses using SAS procedures.
Create reports and visualizations for data interpretation and presentation
Develop analytical skills applicable to business, healthcare, and research

Available Start Dates & Times

* ALL COURSES ARE 1 HOUR LONG AND FOLLOW EASTERN TIME

Course Details

This Class is a Virtual Live Class

Modules

The modules listed below are those currently intended for delivery in the current academic intake of this course. These may be subject to change in future years as the University regularly revises.

Semester 1

Weeks 1 - 12: Introduction to SAS and Environment Setup

Topics: Overview of SAS, setting up the environment, basic syntax, importing data from various formats, basic data manipulation, subsetting data.

Register for the full course syllabus

Semester 2

Weeks 1 - 12: Data Merging and Combining Datasets

Topics: Merging datasets, concatenating data, and match-merging, joining tables, PROC SUMMARY for data insights, customizing visual outputs.

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Semester 3

Weeks 1 - 12: Weeks 1 - 12: Advanced Data Analysis with PROC REG and PROC ANOVA Animation and Visual Effects

Topics: Regression analysis, analysis of variance (ANOVA), output options, parameterizing code, SAS applications in various industries.

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Careers

Learning Outcomes

By the end of this course, students will be able to:

Write, debug, and run SAS code for data management and analysis.
Use SAS procedures to conduct various types of data analysis.
Generate comprehensive reports and data visualizations.
Manipulate large datasets and prepare data for analysis.
Apply SAS programming skills to real-world data scenarios.

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Highlights

Comprehensive Learning:

Detailed study for foundational learning and development in coding.

Interactive Learning:

Virtual labs, simulations, and real-world case studies.

Expert Instruction:

Live teaching from experienced professionals in the field.

Career Preparation:

Foundation for advanced studies and careers in coding.

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Code Institute uniquely designed to provide the coding experience to students aged 8 – 17. CI does not discriminate on the basis of race, national origin, gender, or disability.