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Zero to Master Program

SAS Training

SAS, short for "Statistical Analysis System," is a software suite used for advanced analytics, business intelligence, and data management. It enables users to perform various tasks such as data manipulation, statistical analysis, predictive modeling, and report generation. SAS is widely used in industries such as finance, healthcare, retail, and government for making data-driven decisions and gaining insights from large datasets. With its powerful capabilities and user-friendly interface, SAS remains a popular choice for organizations seeking to derive value from their data.

4.8

30K+ Learners enrolled

60+

Hours of lectures

350+

Problems

This is where you embark on an amazing journey!

Most flexible program in the industry

Freedom to learn

Watch classes any time at your convenience

Cheat days

Catch up on the course when life is calling you elsewhere

Features that keep you going

A structured curriculum that makes learning easy

Practice code problems of varying difficulty

Engagement coach to keep you motivated

Compile & run in an integrated coding environment

Get doubts resolved in 30 mins

1:1 sessions over voice call & chat with our skilled teaching assistants

Industry leading mentors to help you grow

1:1 Mock interviews with resume and career guidance

Structured feedback to make you better

Get a chance to be referred to your mentors’ company

Experience a seamless job switch with hiring assistance

Skill-based hiring across all levels of experience

The results

110%

Average salary hike for SAS

7000+

Transitions to product companies

250+

Trusted placement partners

Frequently asked but seldom read questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

None! Whether you’re completely new to the job field or have had some exposure, Algoxfusion Certificate is the right program for you..

You can find the ‘Get Certified’ option at the end of the Lessons in the table of contents. it will be shown only after completing all the lessons with 100% progress.

Submissions are evaluated based on criteria such as correctness, completeness, critical thinking, and adherence to instructions, typically using rubrics or grading guidelines provided by the instructor.
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Meet the faculty legends that will make you legendary

Praveen Kumar

Founder & Instructor

He holds a Bachelor’s degree in Computer Science from India’s most premier institute - IIT Delhi and a Master’s degree in Computer Science from Stanford University. He is a coding enthusiast and has worked with bigwigs like Amazon and Facebook in the past.

Karthiga

Co-Founder & Instructor

He is an expert in JavaScript & React (Front-end) and has worked on open-source projects like Firebug and Zulip. He has also served as a GCI (Google Code-In) Mentor with Zulip. In his previous role as a Software Engineer he has worked for Goibibo-MMT.

Course curriculum for the curious

Introduction to SAS: History, features, and applications
SAS Environment: SAS Studio, SAS Enterprise Guide
Introduction to SAS Programming: Data Step, Procedures
Data Step Programming: Reading and writing data, Data Manipulation, Conditional Statements, Loops
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SAS Functions and Formats
Combining Data Sets: Concatenating, Merging, Interleaving
Advanced Data Manipulation Techniques: Arrays, DO Loops, SQL in SAS
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Introduction to Statistical Analysis in SAS
Descriptive Statistics: Mean, Median, Mode, Standard Deviation
Data Exploration Techniques: Proc Freq, Proc Means, Proc Univariate
Data Visualization in SAS: Proc SGPLOT, Proc GPLOT
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Introduction to Macros: Macro Variables, Macro Functions
Creating and Using Macros in SAS
Macro Programs: %DO Loops, Conditional Logic in Macros
Debugging and Troubleshooting Macros
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Advanced Proc SQL: Joins, Subqueries, Summary Functions
Advanced Data Step Programming Techniques
Introduction to SAS/STAT Procedures: Regression, ANOVA
Handling Missing Values and Errors
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Advanced Statistical Analysis: Logistic Regression, Time Series Analysis
Introduction to SAS Enterprise Miner
Performance Tuning and Optimization Techniques
Final Project: Real-world data analysis project using SAS, presenting findings
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