Business Analytics for Beginners: Using SAS

Learn Analytics starting from fundamentals to hands-on working on live industry projects. Includes Free SAS Access.
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  • Lectures 34
  • Length 5.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 4/2014 English

Course Description

WHY TO LEARN ANALYTICS:

  • Analytics is the tool that can unlock the value of your customer data (your gold mine)
  • Without analytics, companies are blind and deaf, wandering like deer on a freeway
  • "Analytics is the sexiest job of 21st century" - Harvard Business Review
  • Analytics is the differentiating factor between a mediocre company and an industry leading company

Who should take this course:

  • Working Professionals who want to advance their career towards next big thing, Analytics
  • Entrepreneurs / StartUps who want to leverage their business's data using Analytics
  • Students / Fresh Analytics Professionals who want to learn Analytics from beginners perspective

What this course offers:

  • Specifically designed course to coach Analytics from beginner's perspective
  • Use of live industry projects to explain concepts
  • SAS and Excel have been used to work on projects
  • Free Access to SAS for working on assignments from this course
  • Learn SAS (import data, transform data, independent variables analysis, run regression and macros)
  • All coaching sessions use screen-sharing videos, so you can see exactly what's happening
  • Concepts of Correlation, Linear & Logistic Regression, KS & Gini, Model Validation and Clustering are explained from beginner's perspective
  • Data files used in the course are provided for self-practice
  • Online help, where is needed. 350+ specific queries resolved; ranging from statistical queries to career progression
  • Active group of serious students learning together

If the course suits your requirements, then I can guarantee you will NOT be disappointed. Every penny spend on this course will be WORTH it !

Stay Connected on our Twitter Handle: @Analytics17

What are the requirements?

  • Basic understanding of statistics (like mean, median)
  • Basic understanding of excel (like sum function)
  • Most important: Love for numbers and data !

What am I going to get from this course?

  • You will learn Analytics with the help of live industry projects from Telecom, Insurance, Banking
  • SAS and Excel have been used in the course to work on Analytics projects
  • Following Analytics concepts are covered in the course from beginner's perspective:
  • Fundamentals of Analytics
  • Learn SAS Skills
  • Data Management
  • Covariance and Correlation
  • Linear Regression
  • Logistic Regression
  • KS and Gini
  • Model Validation
  • Clustering
  • By the end of the course, you will be able to launch your own analytics project

What is the target audience?

  • Working Professionals
  • Young Entreprenuers
  • Students

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

03:37

Introduction to this online course on Business Analytics for Beginners: Using SAS

13:37

A very important lecture to understand tips and tricks about Udemy; so that you can make the most from the course you are about to take !

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Download All the Course Materials in this lecture

Section 1: Introduction to Analytics
14:24

What is Analytics ?

Expectations from Analytics professionals

Comparison of various Analytics tools like SAS, R, Excel, SPSS and StatSoft

Section 2: Data
00:26

Brief on What Data section contains

21:16

Dataset Structures

Data Variables Types

Telecom Case Discussion

17:24

Data Summarization using frequency distributions

Telecom Case Discussion

17:21

Data Dictionary

Data Request Process

Outliers Treatment

Missing Value Analysis

Follow us on Twitter: @Analytics17

Quiz on Data
3 questions
Section 3: Linear Regression
00:28

Brief on the contents on Linear Regression Section

10:14

Concepts of Correlation and Covariance

10:29

Calcualtion of Correlation and Covariance in Excel

Case Discussion from Capital Markets

Quiz on Covariance and Correlation
3 questions
22:34

Detailed discussion on basics of Linear Regression

Understanding concepts of Slope, Intercept & Error

Case discussion on Marks of Students

22:14

Running Linear Regression in Excel

Understand Excel functions of Linest, Intercept & Rsq

Case Discussion from Insurance Industry

Quiz on Simple Linear Regression
4 questions
08:43

Detail discussion on Multi-variate Linear Regression, an extension of Simple Linear Regression

18:24

Introduction on SAS from basics

Setting up Library in SAS

Importing files to SAS

Descriptive statistics using SAS

Outliers Treatment using SAS

Continuation of Case discussion on Insurance Industry

18:33

Bivariates Analysis using SAS

Use of Proc GPLOT to plot charts in SAS

Continuation of Case discussion on Insurance Industry

06:16

Multicollinearity Check using SAS

Continuation of Case discussion on Insurance Industry

08:09

Running MultiVariate Linear Regression in SAS

Use of Proc REG to run regression

Continuation of Case discussion on Insurance Industry

03:11

Test of Heteroskedasticity in SAS

Continuation of Case discussion on Insurance Industry

Follow us on Twitter: @Analytics17

Quiz on Multivariate linear regression
5 questions
Section 4: Logistic Regression
00:37

Brief on Contents of Logistic Regression

16:06

Detail discussion on basics of Logistic Regression

09:58

Understanding the underlying data from telecom industry for logistic regression

08:35

Understanding the concept of Information Value(IV) to identify strong independent variables

Range of IV:

>0.1 - Independent variable has good power to predict dependent variable

<0.1 - Independent variable has weak or no power to predict dependent variable

15:45

Using Information Value technique to identify strong independent variables using SAS

02:42

Using Variance Inflation Factor (VIF) technique to test Multicollinearity

02:47

Sampling modelling data training and testing samples

Use ranuni function in SAS to generate random numbers for sampling

08:39

Running Logistic Regression in SAS

Use of Proc Logistic to logistic regression in SAS

Follow us on Twitter: @Analytics17

Quiz on Logistic Regression
4 questions
Section 5: Understanding model results and validation
15:29

Computing and understanding Kolmogorov–Smirnov (KS) test and Gini Coefficient to check the discrimination power of the model

08:11

Validating the model results from training sample on testing Sample

Follow us on Twitter: @Analytics17

Quiz on KS & Gini and Validation
2 questions
Section 6: Clustering
00:30

Brief on contents in Clustering

05:29

Discussion on understanding basics of Clustering with examples

05:23

Which business scenarios to use Clustering ?

13:37

Learning K-means clustering

Running K-means clustering using SAS

Follow us on Twitter: @Analytics17

Quiz on Clustering
3 questions
Section 7: Bonus
How to install Free SAS
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Instructor Biography

Analytics 17, Data Science Experts

We at Analytics17 are dedicated towards making the world easier to understand using Power of Data. We specialise in data science requirements for Banks. And have done hundreds of data science projects involving different machine learning techniques like linear regression, logistic regression, decision trees, clustering & neural networks. With experience on working on languages / tools like SAS, R, Python & SPSS.

A formal training for new comers & entrepreneurs has always been missing in Analytics, which gave us a thought to put together a course for beginners. We have finally got time and platform (Udemy) to share our learnings with everyone. Hopefully our course will help beginners quickly come up the learning curve of Analytics.

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