SAS for Statistics

SAS for Statistics, available at $44.99, has an average rating of 4.55, with 16 lectures, based on 25 reviews, and has 2027 subscribers.

You will learn about Introduction to statistical analysis using SAS Use of Statistics In Data Science Use of Statistics in Decision Making Descriptive Statistics concepts and use cases Central Tendency – Mean, Median and mode Mean, Median and mode – implementation using SAS Measures of Variance – Range, Quartiles, Percentiles, Variance and Standard Deviation Range, Quartiles, Percentiles, Variance and Standard Deviation – Using SAS code Exploratory Data Analysis Data Visualization using SAS Bar charts, Bar and Line charts, Bubble chart and scatter plot implementation in SAS Inferential Statistics Statistics use cases in different industries Probability – Random Variable and Probability Distribution Sampling – Sampling Techniques and Stratified Sampling Sampling implementation using SAS This course is ideal for individuals who are Has a basic knowledge of SAS and wants to implement statistical concepts using SAS It is particularly useful for Has a basic knowledge of SAS and wants to implement statistical concepts using SAS.

Enroll now: SAS for Statistics

Summary

Title: SAS for Statistics

Price: $44.99

Average Rating: 4.55

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to statistical analysis using SAS

Use of Statistics In Data Science

Use of Statistics in Decision Making

Descriptive Statistics concepts and use cases

Central Tendency – Mean, Median and mode

Mean, Median and mode – implementation using SAS

Measures of Variance – Range, Quartiles, Percentiles, Variance and Standard Deviation

Range, Quartiles, Percentiles, Variance and Standard Deviation – Using SAS code

Exploratory Data Analysis

Data Visualization using SAS

Bar charts, Bar and Line charts, Bubble chart and scatter plot implementation in SAS

Inferential Statistics

Statistics use cases in different industries

Probability – Random Variable and Probability Distribution

Sampling – Sampling Techniques and Stratified Sampling

Sampling implementation using SAS

Who Should Attend

Has a basic knowledge of SAS and wants to implement statistical concepts using SAS

Target Audiences

Has a basic knowledge of SAS and wants to implement statistical concepts using SAS

This course is intended to give you an overview and detailed walkthrough of the various statistical concepts, data visualization techniques along with its implementation in SAS  that are necessary for anyone interested in career of Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist.

After this course, you will clearly know the statistical concepts discussed and be able to relate and think of real time use cases of those concepts across different industries.

Also, with implementation of these statistical concepts in SAS programming language, you will get an edge over the industry required skills to implement and visualize the data.

This course will help you to understand and learn:

Statistical analysis using SAS

Use of Statistics In Data Science

Use of Statistics in Decision Making

Descriptive Statistics – concepts and use cases

Central Tendency – Mean, Median and mode

Mean, Median and mode – implementation using SAS

Measures of Variance – Range, Quartiles, Percentiles, Variance and Standard Deviation

Range, Quartiles, Percentiles, Variance and Standard Deviation – Using SAS code

Exploratory Data Analysis

Data Visualization using SAS

Bar charts, Bar and Line charts, Bubble chart and scatter plot implementation in SAS

Inferential Statistics

Statistics use cases in different industries

Probability – Random Variable and Probability Distribution

Sampling – Sampling Techniques and Stratified Sampling

Sampling implementation using SAS

Hope you will get the intended learning out of this course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Statistics?

Lecture 2: Types of Statistics

Lecture 3: Use of statistics in data science

Lecture 4: Use of statistics in decision making

Chapter 2: Descriptive statistics

Lecture 1: What is descriptive statistics

Lecture 2: Central Tendency – Mean in SAS

Lecture 3: Central Tendency – Median in SAS

Lecture 4: Central Tendency – Mode in SAS

Lecture 5: Measures of variance in SAS

Chapter 3: Data Visualization using SAS

Lecture 1: Bar Chart and Line charts Using SAS

Lecture 2: Bubble Chart and Scatter Plot Using SAS

Chapter 4: Inferential Statistics

Lecture 1: Inferential Statistics and its uses

Lecture 2: Probability

Lecture 3: Sampling

Lecture 4: Stratified Sampling

Lecture 5: Sampling – Implementation in SAS

Instructors

Aakash Taneja
SAS Data Analyst

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 4 votes

4 stars: 5 votes

5 stars: 14 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?

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