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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