SAS for Data Analysis and Visualization
SAS for Data Analysis and Visualization, available at $29.99, has an average rating of 3.45, with 27 lectures, based on 12 reviews, and has 71 subscribers.
You will learn about Students will be able to manage data well using SAS studio as a tool after taking this course, they will be able to perform data visualization as well, they will also develop a good understanding of descriptive statistics with regular use of this tool on their working data. This course is ideal for individuals who are Beginner/Professional Developers curious about Data Science/Data Visualization using "SAS Studio" It is particularly useful for Beginner/Professional Developers curious about Data Science/Data Visualization using "SAS Studio".
Enroll now: SAS for Data Analysis and Visualization
Summary
Title: SAS for Data Analysis and Visualization
Price: $29.99
Average Rating: 3.45
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: ₹1,999
Quality Status: approved
Status: Live
What You Will Learn
- Students will be able to manage data well using SAS studio as a tool after taking this course, they will be able to perform data visualization as well, they will also develop a good understanding of descriptive statistics with regular use of this tool on their working data.
Who Should Attend
- Beginner/Professional Developers curious about Data Science/Data Visualization using "SAS Studio"
Target Audiences
- Beginner/Professional Developers curious about Data Science/Data Visualization using "SAS Studio"
This Course is Designed for Beginners/Professionals to learn Data Visualization, Data Manipulation, Data Handling using SAS PROC procedures and SAS SQL, this learning process is going to give a great edge for the people who are working in the field of Data Science/Data Analysis/Data Management/Data Mining or wants to transform their career in any of these fields. SAS is an amazing tool to manage and work on complex data.
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_Strings
Lecture 3: SAS_String_Function
Lecture 4: SAS_Character_Function
Lecture 5: SAS_Array
Lecture 6: SAS_Arithemetic_Operators
Chapter 3: 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 4: 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 5: SAS Output Delivery System
Lecture 1: SAS_ODS
Chapter 6: SAS Statistical Analysis
Lecture 1: SAS-Arithmetic Mean
Lecture 2: SAS_Standard_Deviation
Lecture 3: SAS_Frequency_Distribution
Chapter 7: SAS Data Visualization
Lecture 1: SAS_Histogram (PROC UNIVARIATE)
Lecture 2: SAS_Bar_Charts(PROC SGPLOT)
Lecture 3: SAS_Pie_Charts(PROC TEMPLATE)
Lecture 4: SAS_Scatterplot (PROC SGSCATTER)
Instructors
-
Nishant Pandey
Data Scientist
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 3 votes
- 5 stars: 4 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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