SAS for Data Science

SAS for Data Science, available at $34.99, has an average rating of 3.3, with 38 lectures, based on 32 reviews, and has 149 subscribers.

You will learn about After taking this course students will be able to write programs using SAS as a tool, this course will be a guide for them to take them to the next level of expertise pertaining SAS. This is going to give a great Curve to beginners/professionals to use SAS as a tool for their data work. This course is ideal for individuals who are This course would be a best fit for the Beginners/Professionals who want to learn how SAS programs work, this course would be a great approach to start working on SAS and then later on get to the advanced methods. or I have used very simple examples and written very easy to understand programs for this course, anyone with low understanding on programming languages can also be able to understand the concepts behind programs written. It is particularly useful for This course would be a best fit for the Beginners/Professionals who want to learn how SAS programs work, this course would be a great approach to start working on SAS and then later on get to the advanced methods. or I have used very simple examples and written very easy to understand programs for this course, anyone with low understanding on programming languages can also be able to understand the concepts behind programs written.

Enroll now: SAS for Data Science

Summary

Title: SAS for Data Science

Price: $34.99

Average Rating: 3.3

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: ₹1,999

Quality Status: approved

Status: Live

What You Will Learn

After taking this course students will be able to write programs using SAS as a tool, this course will be a guide for them to take them to the next level of expertise pertaining SAS.
This is going to give a great Curve to beginners/professionals to use SAS as a tool for their data work.

Who Should Attend

This course would be a best fit for the Beginners/Professionals who want to learn how SAS programs work, this course would be a great approach to start working on SAS and then later on get to the advanced methods.
I have used very simple examples and written very easy to understand programs for this course, anyone with low understanding on programming languages can also be able to understand the concepts behind programs written.

Target Audiences

This course would be a best fit for the Beginners/Professionals who want to learn how SAS programs work, this course would be a great approach to start working on SAS and then later on get to the advanced methods.
I have used very simple examples and written very easy to understand programs for this course, anyone with low understanding on programming languages can also be able to understand the concepts behind programs written.

This Course is designed for the Beginners/Professional who want to learn to work on SAS as a tool for their data handling work, This course is going to give you a very easy step by step learning edge on how to run and use SAS as a tool for data work, It is a very easy to understand tutorial which will help you to go to the next level of expertise whilst working on SAS tool.

Course Curriculum

Chapter 1: Introduction

Lecture 1: SAS for Data Science (Introduction)

Lecture 2: SAS_Installation

Chapter 2: SAS programs

Lecture 1: SAS_Variable

Lecture 2: SAS_string

Lecture 3: SAS_StringFunctions

Lecture 4: SAS_Array

Lecture 5: SAS_Arithmetic Operators

Lecture 6: SAS_Do_Loop

Lecture 7: SAS_WhileLoop

Lecture 8: SAS_Do_UntilLoop

Chapter 3: Decision Making

Lecture 1: SAS_IF_Statement

Lecture 2: SAS_IF_THEN_ELSE_Statement

Lecture 3: SAS_IF_THEN_ELSE_IF_Statement

Lecture 4: SAS_IF_THEN_DELETE_Statement

Chapter 4: SAS Functions

Lecture 1: SAS_Mathematical_Functions

Lecture 2: SAS_Date&Time_Function

Lecture 3: SAS_Character_Function

Lecture 4: SAS_Truncation_Function

Chapter 5: SAS Input Methods

Lecture 1: SAS_List_Input_Method

Lecture 2: SAS_Name_Input_Method

Chapter 6: SAS Macros

Lecture 1: SAS_Macros_Global_Variable

Lecture 2: SAS_Macros_Local_Variable

Lecture 3: SAS_Macro_Program

Chapter 7: SAS DataSet Operations

Lecture 1: SAS_Read_Raw_Data

Lecture 2: SAS_Export_Data

Lecture 3: SAS_Merge_Data

Lecture 4: SAS_Subsetting_Variable

Lecture 5: SAS_Subsetting_Observations

Lecture 6: SAS_Proc_Format

Lecture 7: SAS_Proc_Sort

Chapter 8: SAS-SQL (CRUD)

Lecture 1: SAS_SQL_Create_Operation

Lecture 2: SAS_SQL_Read_Operation

Lecture 3: SAS_SQL_UPDATE_Operation

Lecture 4: SAS_SQL_DELETE_Operation

Chapter 9: SAS Output Delivery System

Lecture 1: SAS_ODS

Chapter 10: SAS Basic Statistical Procedure

Lecture 1: SAS-Arithmetic Mean

Lecture 2: SAS_Standard_Deviation

Lecture 3: SAS_Frequency_Distribution

Instructors

Nishant Pandey
Data Scientist

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 6 votes
4 stars: 12 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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