The document outlines an 11-session applied analytics course covering Microsoft Excel, SAS programming, and advanced analytics techniques like linear and logistic regression. Session topics range from Excel fundamentals and data handling to importing/exporting SAS files, variable manipulation, do loops, and Proc SQL. Later sessions focus on aggregation, reporting, and predictive modeling applications in business.

1. EKCELON ACADEMY - Applied Analytics Course for Industry
Duration
Sessions Module Description
(Mins)
1 Applied Excel Part 1
1.1 Excel Fundamentals 30
1.2 Data Handling - Sorting, Find & Replace 30
Session 1
1.3 Excel Functions : Numeric , Text & Date 30
1.4 Logical 30
1.5 Exercises 60
2 Applied Excel Part 2
2.1 Statistics & Lookup 30
Session 2 2.2 Data Analysis Using Charts & Graphs 60
2.3 Pivots 60
2.4 Exercises 30
3.1 Introduction to SAS & Analytics
3.1.1 Analytics & SAS details 60
3.2 SAS Architecture
Session 3
3.2.1 Environment, Libraries, Datasets, types of SAS Files
90
3.2.2 SAS Components, Proc Contents, Valid Names, Proc Print
3.2.3 Exercises 30
4.1 Data Creation in SAS
4.1.1 Importing & Exporting of SAS Files 60
4.2 Data Visualization in SAS
4.2.1 Proc Print, Proc Sort 40
Session 4
4.3 Variable Manipulation
4.3.1 Data step, Labels, Length, Creating new variables
50
4.3.2 Drop, Keep, Rename
4.3.3 Exercises 30
5.1 Variable Manipulation
5.1.1 Formats - Temporary & Permanent
5.1.2 User defined formats - Proc format 60
5.1.3 Variable type conversions - Input, Put
Session 5 5.2 Data Manipulation in SAS
5.2.1 If & Where clauses 45
5.3 SAS System Options
5.3.1 Proc Options - Yearcutoff, Dates 45
5.3.2 Exercises 30
6.1 Concepts of Observations & Variables
6.1.1 _NULL_,Put function (for debugging code), First & last, Retain 30
Session 6
6.2 Combining & segmenting datasets
6.2.1 Concatenation 60

2. 6.3 SAS Date functions
6.3.1 Reading & displaying SAS date & time values 30
6.4 SAS Text functions
Text functions - LEFT, TRIM, COMPRESS, CATX, CASE, SUBSTR,
6.4.1 30
INDEX, FIND
6.4.2 Exercises 30
7.1 Do loops in SAS
7.1.1 Do End block
7.1.2 Do While & Do Until
60
7.1.3 Iterative Do loops
Session 7 7.1.4 Leave & Continue
7.2 Arrays in SAS
7.2.1 One Dimentional Array
60
7.2.2 Multi Dimentional Arrays
7.2.2 Exercises 60
8.1 Data Aggregation
8.1.1 Proc Means, Proc Freq, Proc Summary 30
8.1.2 Proc Tabulate, Proc Univariate, Proc Transpose 45
Session 8
8.2 Reporting Analysis with SAS
8.2.1 ODS output 45
8.2.2 Exercises 60
9.1 Proc SQL
9.1.1 SQL/SELECT, SQL/WHERE, SQL/ORDER BY, SQL/GROUP BY
Session 9 9.1.2 SQL/CREATE TABLE, SQL/JOIN, SQL/UNION, SQL/INTERSECT 90
9.1.3 SQL/OPERATORS, SQL/INSERT, SQL/DELETE, SQL/DROP
9.1.4 Exercises 60
10.1 Advanced Analytics - Part 1
10.1.1 Multivariate Linear Regression Concepts 90
10.1.2 Application of Linear Regression Analysis in Business 30
Session 10
10.1.3 How to do MLR using SAS? 60
10.1.4 Interpretation of SAS Output in MLR 90
10.1.5 Case Study & Exercise 90
11.1 Advanced Analytics - Part 2
11.1.1 Application of Logistic Regression Analysis in Business 60
11.1.2 Logistic Regression Concepts 30
11.1.3 How to do Logistic Regression using SAS? 60
Session 11
11.1.4 Interpretation of Logistic Regression Output in SAS 30
11.1.5 Scoring and Creation of Lifts 60
11.1.6 Handling Outliers & Missing values 60
11.1.7 Case and Exercise 60