Module 1: Financial Analytics Overview
In this module, the candidate will learn about Financial Analytics, its Types, Areas, and Analytical Tools.
- Intro to Financial Analytics
- Types of Analytics
- Areas of Analytics
- Analytical tools
- Quiz Module 1
Module 2: Introduction to SAS
In this module, the candidate will learn about the Statistical Analytical System, its Navigating in SAS Console, SAS Language input file, Data Set, PROC Step, Data Step, and Data Processing.
- What is SAS?
- Navigating in SAS Console
- SAS language input files
- Data Step
- PROC Step and Data Step
- Data Step Processing
- Quiz Module 2
Module 3: Combining and Modifying datasets
In this module, the candidate will learn about Concatenating Datasets, Interleaving Method, One-to-one Reading, One-to-one Merging, Data Manipulation, and Modifying Variable Attributes.
- Introduction
- Concatenating Datasets
- Interleaving Method
- One-to-One Reading
- One- to- Merging
- Data Manipulation
- Modifying Variable Attributes
- Quiz Module 3
Module 4: PROC SQL
In this module the candidate will learn about PROC SQL, Retrieving Data from Table, Selecting Columns in a Table, Retrieving and Selecting Data from Multiple Tables and Concatenating Query Results.
- Introduction
- Concatenating Datasets
- Interleaving Method
- One-to-One Reading
- One- to- Merging
- Data Manipulation
- Modifying Variable Attributes
- Quiz Module 4
Module 5: SAS Macros
In this module the candidate will learn about SAS Macros, which includes understanding of its need, Functions, SQL Clauses and Conditional and Macro Statements.
- Introduction
- Concatenating Datasets
- Interleaving Method
- One-to-One Reading
- One- to- Merging
- Data Manipulation
- Modifying Variable Attributes
- Quiz Module 5
Module 6: Basics of Financial Statistics
In this module, the candidate will learn about Financial Statistics, which includes Statistical Terms, Procedures in SAS, Hypothesis and Variable types
- Introduction to Financial Statistics
- Statistical Terms
- Procedures in SAS for Descriptive Statistics
- Hypothesis testing
- Variable Types
- Quiz Module 6
Module 7: Financial Statistical Procedure
In this module, the candidate will learn about Statistical Procedures, PROC Means, PROC FREQ, PROC REG Etc.
- Introduction to Financial Statistical Procedures
- PROC Means
- PROC FREQ
- PROC UNIVARIATE
- PROC CORR
- PROC REG
- PROC ANOVA
- Quiz Module 7
Module 8: Data Exploration in Financial Analytics
In this module, the candidate will learn about Data Exploration, which includes Data preparation, General Comments and Observations on Data Cleaning, Data Type Conversions, SCAN Functions, DataTime Functions, and Missing Value Treatment.
- Data preparation
- General comments and observations on Data cleaning
- Data type Conversions
- SCAN Functions
- DateTime Functions
- Missing Value Treatment
- Quiz Module 8
Module 9: Advanced Financial Statistics
In this module the candidate will learn about Advanced Financial Statistics, which includes Cluster Methodologies, K means Clustering, Decision Tree, Regression and Logistic Regression.
- Introduction to Cluster
- Clustering Methodologies
- K means Clustering
- Decision Tree
- Regression & Logistic Regression
- Quiz Module 9
Module 10: Working with Time Series Data
In this module, the candidate will learn how to work with Time Series Data, White Noise Process, Stationarity of Time Series and Plot Transformation Transpose and Interpolating Time Series Data.
- Need for time series analysis
- Reading Data and Data Time Values
- White Noise Process
- Stationarity of a Time Series
- Plot Transform, Transpose, and Interpolating Time Series Data
- Quiz Module 10
Module 11: Business Designing Optimization Models
In this module, the candidate will learn about Business Designing Optimization Models, their needs, Problems, and PROC OPT MODEL.
- Need for optimization
- Optimization Problems
- PROC OPT MODEL
- Quiz Module 11

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