Introduction to Analytics and the Language of SAS

Introduction to Analytics and the Language of SAS
Genre: eLearning | MP4 | Video: h264, 800×6000 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 301 MB | Duration: 3 hours

What you'll learn
This course will help you get a good understanding of analytics.
It will help you decide if data analytics is the career for you.
It will give you an understanding of the tools and techniques used in the analytics industry.
There are no pre requsites for this course. You do not need to have any prior knowledge of statistics or data analytics.
The Introduction to Analytics course is a set of 12 videos that take you through the basics of data analytics and the language of SAS.
You should do this course if you are interested in data analytics and would like to pursue it as a career or if you have heard about the buzz it is creating and just want to know what it is all about.
Each video is from 5 to 30 minutes in length. If done in one go, it should take you about two hours to cover the course.
The course is divided into three sections. The first section 'Introduction to Analytics' is a set of 6 videos. Here is a snapshot of the 6 videos:
1. What is analytics?
This module explains the basis of analytics.
2. Why is analytics popular?
This module talks about why analytics has become a big buzzword in business circles and the advantages of analytics.
3. Analytics applications
Here you will be introduced to the various analytics applications popularly used today.
4. Analytics technology
In this module you will learn about trending analytics technologies.
5. Analytics terminology
Here we give you a run through of the important analytics terminology that you must know.
6. Analytics resources
This lecture talks about the various analytics resources available today that will help you further your quest for analytics knowledge.
The second section of the course 'Analytic Tools' is a set of 3 videos. Here is a snapshot of the 3 videos:
7. Overview of Popular Analytic Tools-1
This lecture takes you through the popular analytics tools like SAS and WNS available in the market.
8. Overview of Popular Analytic Tools- 2
In this lecture we discuss other popular tools like those from IBM.
9. Comparison of Analytic Tools
Here we see how to compare the popular analytic tools.
In the last section 'Introduction to the Language of SAS' we have 3 videos that introduce you to the language of SAS and give you an understanding of how SAS can be used to derive sound business insights. Here is a snapshot of the 3 videos:
10. Intro to the Language of SAS- 1
In this lecture we explain the basic concepts in the language of SAS and how data can be manipulated in the language of SAS.
11. Intro to the language of SAS- 2
Here we go on to explain how data can be brought into SAS in a format that is recognized by SAS.
12. Intro to the language of SAS- 3
In this last lecture we explain more about data inputs into SAS.
Who this course is for:
Anyone who has an interest in analytics
Those who want to make a career in Data Science
Managers who want to understand how data can help them make better business decisions
Anyone who wants to add to their business skill set

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