Complete & Practical SAS, Statistics & Data Analysis Course

Complete & Practical SAS, Statistics & Data Analysis Course, available at $79.99, has an average rating of 4.2, with 171 lectures, based on 1767 reviews, and has 11280 subscribers.

You will learn about Be equipped with a powerful tool for the most sexy data analytics career path! Read and write various types of raw data with different formats and options Create and modify various professional and statistical reports Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation.. Master the most complete SAS graphics tool such GTL and statistical plots Learn comprehensive SAS Macro programming knowledge — variables and user defined functions Perform many real world case studies — retail banks, credit bureau, marketing firms and clinical trials Apply powerful data manipulation — SQL, subsetting, slicing, filtering, transformation, ranking, sorting.. Understand data management and data piping Use SAS ODS — help deliver many useful objects such as charts, tables between different systems Hundreds of SAS sample codes to explain arrays, functions and business cases This course is ideal for individuals who are Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields. or People who wish to enter data science/analytics field. It is particularly useful for Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields. or People who wish to enter data science/analytics field.

Enroll now: Complete & Practical SAS, Statistics & Data Analysis Course

Summary

Title: Complete & Practical SAS, Statistics & Data Analysis Course

Price: $79.99

Average Rating: 4.2

Number of Lectures: 171

Number of Published Lectures: 171

Number of Curriculum Items: 171

Number of Published Curriculum Objects: 171

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Be equipped with a powerful tool for the most sexy data analytics career path!
Read and write various types of raw data with different formats and options
Create and modify various professional and statistical reports
Be aware of statistical analysis and concepts such as non parametric test, interaction, correlation..
Master the most complete SAS graphics tool such GTL and statistical plots
Learn comprehensive SAS Macro programming knowledge — variables and user defined functions
Perform many real world case studies — retail banks, credit bureau, marketing firms and clinical trials
Apply powerful data manipulation — SQL, subsetting, slicing, filtering, transformation, ranking, sorting..
Understand data management and data piping
Use SAS ODS — help deliver many useful objects such as charts, tables between different systems
Hundreds of SAS sample codes to explain arrays, functions and business cases

Who Should Attend

Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields.
People who wish to enter data science/analytics field.

Target Audiences

Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields.
People who wish to enter data science/analytics field.

You should take this course!�

• If you need a complete and comprehensive package that covers SAS programming, intuitive statistics interpretation, data analysis, and predictive modeling, and

• If you would like to learn by doing various practical use cases fitting in the positions in different business portfolios, and

• Whether you are a job seeker or beginner intending to start a data science career

Then this around 18 hours course is right for you!

This complete SAS course includes more than 150 lectures and contains 11 real world case studies/projects in different applied areas such as banking and marketing. After this intensive training, you will be equipped with a powerful tool for the most sexy data analytics career path!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What are you going to learn from this course

Chapter 2: SAS environment and basic concepts

Lecture 1: Introduce SAS environment

Lecture 2: SAS library

Lecture 3: Try SAS codes

Lecture 4: Home work and data installation

Lecture 5: SAS Cloud Version

Lecture 6: Introduction to SAS Studio Installation on University Edition

Chapter 3: Get started SAS programming

Lecture 1: Create data sets from external files

Lecture 2: SAS program – create data sets

Lecture 3: Valid names and comments

Lecture 4: SAS program — Valid names and comments

Lecture 5: Data type and format

Lecture 6: SAS program — data type and format

Lecture 7: SAS program – date and format

Lecture 8: Mechanism of SAS data set

Lecture 9: Summarize SAS operations

Chapter 4: Input and output raw data

Lecture 1: List input (1)

Lecture 2: List input (2)

Lecture 3: SAS program — list input

Lecture 4: Read data with fixed layout

Lecture 5: Read data with modified list input

Lecture 6: Input data with other features

Lecture 7: Write data using data step

Lecture 8: SAS program –write data

Lecture 9: Import and export data

Chapter 5: Manipulate data by data step programming

Lecture 1: Duplicate data sets

Lecture 2: SAS program — duplicate data sets

Lecture 3: Modify variables

Lecture 4: SAS program — modify variables

Lecture 5: Variables selection.

Lecture 6: Rename variables

Lecture 7: SAS program — rename variables

Lecture 8: Assign labels to variables

Lecture 9: SAS program — assign labels to variables

Lecture 10: Subsetting data sets

Lecture 11: SAS program — Subsetting data sets

Chapter 6: Control flow in SAS

Lecture 1: Structured programming (I)

Lecture 2: SAS program — Structured programming (I)

Lecture 3: Structured programming (II)

Lecture 4: SAS program — Structured programming (II)

Chapter 7: SAS data step functions

Lecture 1: Data step character functions

Lecture 2: SAS program –data step character functions

Lecture 3: Data step numeric functions

Lecture 4: SAS program — numeric functions

Lecture 5: Data step special functions

Lecture 6: Data step special functions

Lecture 7: User defined format

Lecture 8: SAS program — User defined format

Chapter 8: Use cases study (1)

Lecture 1: Case study 001(read employee data)

Lecture 2: SAS program — read employee data

Lecture 3: Case study 002(read chronic disease data)

Lecture 4: SAS program — Case study 002(read chronic disease data)

Lecture 5: Case study 003 ( read business account data)

Lecture 6: SAS program — Case study 003 ( read business account data)

Lecture 7: Case study 004 (process stock data)

Lecture 8: SAS program — Case study 004 (process stock data)

Chapter 9: Other SAS features in data step programming

Lecture 1: Automatic Variables(_N_ and _ERROR_)

Lecture 2: Output statement

Lecture 3: Return statement

Lecture 4: pinpoint the first and last record

Lecture 5: SAS program — Pinpoint the first and last record

Lecture 6: Retain statement

Lecture 7: SAS program — Retain statement

Lecture 8: Data step array (1)

Lecture 9: Data step array (2)

Chapter 10: Use cases study (2)

Lecture 1: Case study 005(create new KPI features)

Lecture 2: Case study 006(students grades)

Chapter 11: Browse, sort and combine data

Lecture 1: Browse and print data set

Lecture 2: SAS program — Browse and print data set

Lecture 3: Sort data

Lecture 4: SAS program — sort data

Lecture 5: Merge multiple data sets

Lecture 6: Stack data sets

Lecture 7: Examples of merging and splitting data sets

Chapter 12: Data processing and analysis

Lecture 1: Transpose data sets

Lecture 2: Examples of transposing data

Lecture 3: Understand statistics and distribution..

Lecture 4: Summarize continuous data

Lecture 5: Examples of PROC MEANS (1)

Lecture 6: Examples of PROC MEANS (2)

Lecture 7: Examples of PROC MEANS (3)

Lecture 8: Summarize categorical variables

Lecture 9: Examples of PROC FREQ (1)

Lecture 10: Examples of PROC FREQ (2)

Lecture 11: Examples of PROC FREQ (3)

Lecture 12: Understand uni-variate study

Lecture 13: Examples of uni-variate analysis

Lecture 14: Ranking data and bucket analysis

Instructors

Shenggang Li
Senior Data Scientist

Rating Distribution

1 stars: 90 votes
2 stars: 94 votes
3 stars: 262 votes
4 stars: 565 votes
5 stars: 755 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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