EKCELON ACADEMY - Applied Analytics Course for Industry

Sessions Module Description Duration (Mins)

Session 1

1 Applied Excel Part 1

1.1 Excel Fundamentals 30

1.2 Data Handling - Sorting, Find & Replace 30

1.3 Excel Functions : Numeric , Text & Date 30

1.4 Logical 30

1.5 Exercises 60

Session 2

2 Applied Excel Part 2

2.1 Statistics & Lookup 30

2.2 Data Analysis Using Charts & Graphs 60

2.3 Pivots 60

2.4 Exercises 30

Session 3

3.1 Introduction to SAS & Analytics

3.1.1 Analytics & SAS details 60

3.2 SAS Architecture

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

Session 4

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

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

Session 5

5.1 Variable Manipulation

5.1.1 Formats - Temporary & Permanent

60 5.1.2 User defined formats - Proc format

5.1.3 Variable type conversions - Input, Put

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

Session 6

6.1 Concepts of Observations & Variables

6.1.1 _NULL_,Put function (for debugging code), First & last, Retain 30

6.2 Combining & segmenting datasets

6.2.1 Concatenation 60

6.3 SAS Date functions

6.3.1 Reading & displaying SAS date & time values 30

6.4 SAS Text functions

6.4.1 Text functions - LEFT, TRIM, COMPRESS, CATX, CASE, SUBSTR,

INDEX, FIND 30

6.4.2 Exercises 30

Session 7

7.1 Do loops in SAS

7.1.1 Do End block

60 7.1.2 Do While & Do Until

7.1.3 Iterative Do loops

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

Session 8

8.1 Data Aggregation

8.1.1 Proc Means, Proc Freq, Proc Summary 30

8.1.2 Proc Tabulate, Proc Univariate, Proc Transpose 45

8.2 Reporting Analysis with SAS

8.2.1 ODS output 45

8.2.2 Exercises 60

Session 9

9.1 Proc SQL

9.1.1 SQL/SELECT, SQL/WHERE, SQL/ORDER BY, SQL/GROUP BY

90 9.1.2 SQL/CREATE TABLE, SQL/JOIN, SQL/UNION, SQL/INTERSECT

9.1.3 SQL/OPERATORS, SQL/INSERT, SQL/DELETE, SQL/DROP

9.1.4 Exercises 60

Session 10

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

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

Session 11

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

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