Financial Analytics Training in Pune
SAS Financial Data Analyst Certification
This course covers the content of both SAS Data Integration Studio: Essentials and SAS Data Integration Studio: Additional Topics. It introduces and expands the knowledge of SAS Data Integration Studio and includes topics for registering sources and targets; creating and working with jobs; and working with transformations. This course also covers information on working with slowly changing dimensions, working with the Loop transformations, and defining new transformations. Targeted towards Data integration developers and data integration architects.
Base SAS - learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is mapped to SAS Certified Specialist: Base Programming Using SAS 9.4 credential.
SAS Predictive Modeling Certification - This course focuses on statistical analysis. Ready-to-use procedures handle a wide range of statistical techniques including simple descriptive statistics, data visualization, analysis of variance, regression, categorical data analysis, multivariate analysis, cluster analysis, and non-parametric analysis. It covers a range of introductory statistical topics and uses SAS software to carry out analysis. Emphasis will be placed on the interpretation of the results. This course covers the skills required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 credential.
SAS Visual Analytics for SAS Viya : Fast Track- This course provides introduction & advanced features of data preparation, data discovery, analytics, and report creation in SAS Visual Analytics. This course can help prepare you for the following certification exam(s): SAS Certified Specialist: Visual Business Analytics 7.5/8.3 credential.
SAS Solutions for RISK and IFRS : An Introduction: - This course introduces data and risk analysts to the tasks used in the monthly production cycle. The course includes hands-on demonstrations and teaches you key concepts, terminology, and base functionality that are integral to SAS Solution for IFRS 9. Get an overview of concepts in risk ,IFRS9 & IFRS17 & applications of SAS solutions in the same.
SAS Solutions for RISK and IFRS : An Introduction: - This course introduces data and risk analysts to the tasks used in the monthly production cycle. The course includes hands-on demonstrations and teaches you key concepts, terminology, and base functionality that are integral to SAS Solution for IFRS 9. Get an overview of concepts in risk ,IFRS9 & IFRS17 & applications of SAS solutions in the same.
SAS Academy for Financial Data Analyst offers :
- Four immersive programs developed by leading analytical experts consisting of 6 modules
- An exhaustive - training of 144hrs consisting of data management, data mining skills, advanced modelling techniques and business visualization
- Training mapped to Industry-recognized credentials
- Training in a collaborative setting using a combination of comprehensive course notes, lectures, software demonstrations and exercises from Finance domain
- A coach to guide you by answering questions and helping you prepare for certification.
- Around-the-clock access to SAS software and course materials during the program.
- Post Class Recordings of every day sessions
- 2 attempts for each of the Three certification exams
- Practice exams for certification exams (whichever available)
Who should attend
- Non-engineering/MBA/Masters/Graduate in Finance
- Statistical knowledge required,
- Educational Qualification: BCOM, MCOM, BBA, MBA, BTECH, MTECH
Certification attempts need to be taken within 3month after completion the training for Each level.
Prerequisites:
This course addresses Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS Solution for IFRS 17 software.
inclusive of Instructor Based Training, Course material (PDF) & TWO attempts of Global Certification for each credential
- SAS Certified Specialist: Base Programming Using SAS 9.4
- SAS Certified Specialist: Visual Business Analytics
- SAS Certified Predictive Modeler Using SAS Enterprise Miner 14
Certification attempts need to be taken within 3month after completion the training for Each level.
Course Outline:
SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression
- Generate descriptive statistics and explore data with graphs
- Perform analysis of variance
- Perform linear regression and assess the assumptions
- Use diagnostic statistics to identify potential outliers in multiple regression
- Use chi-square statistics to detect associations among categorical variables
- Fit a multiple logistic regression model.
Applied Analytics Using SAS Enterprise Miner
- Define a SAS Enterprise Miner project and explore data graphically
- Modify data for better analysis results
- Build and understand predictive models such as decision trees and regression models
- Compare and explain complex models
- Generate and use score code
- Apply association and sequence discovery to transaction data.
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Course Curriculum
Course 1 - BASE SAS PROGRAMMER
- the SAS programming process
- using SAS programming tools
- understanding SAS syntax
- understanding SAS data
- accessing data through libraries
- importing data into SAS
- exploring data
- filtering rows
- formatting columns
- sorting data and removing duplicates
- reading and filtering data
- computing new columns
- conditional processing
- enhancing reports with titles, footnotes, and labels
- creating frequency reports
- creating summary statistics reports
- exporting data
- exporting reports
- using Structured Query Language in SAS
- joining tables using SQL in SAS
Module 2 - SAS Programming 2: Data Manipulation Techniques : Level Intermediate
- setting up for this course
- understanding DATA step processing
- directing DATA step output
- creating an accumulating column
- processing data in groups
- understanding SAS functions and CALL routines
- using numeric and date functions
- using character functions
- using special functions to convert column type
- creating and using custom formats
- creating custom formats from tables
- concatenating tables
- merging tables
- identifying matching and nonmatching rows
- using iterative DO loops
- using conditional DO loops
- restructuring data with the DATA step
- restructuring data with the TRANSPOSE procedure
Module 2- SAS Certified Predictive Modeler Using SAS Enterprise Miner 14
- Discussing descriptive statistics
- Discussing inferential statistics
- Listing steps for conducting a hypothesis test
- Discussing the basics of using your SAS software
- Introducing the SAS Enterprise Guide 7.1 environment
- Discussing fundamental statistical concepts
- Examining distributions
- Describing categorical data
- Constructing confidence intervals
- Performing simple tests of hypothesis
- Performing one-way ANOVA
- Performing multiple comparisons
- Performing two-way ANOVA with and without interactions
- Using exploratory data analysis
- Producing correlations
- Fitting a simple linear regression mode
- Understanding the concepts of multiple regression
- Building and interpreting models
- Describing all regression techniques
- Exploring stepwise selection techniques
- Examining residuals
- Investigating influential observations and collinearity
- Describing categorical data
- Examining tests for general and linear association
- Understanding the concepts of logistic regression and multiple logistic regression
- Performing backward elimination with logistic regression
Module 4 - Applied Analytics Using SAS Enterprise Miner : Level Intermediate
- Introduction to SAS Enterprise Miner
- Creating a SAS Enterprise Miner project, library, and diagram
- Defining a data source
- Exploring a data source
- Introduction
- Cultivating decision trees
- Optimizing the complexity of decision trees
- Understanding additional diagnostic tools (self-study)
- Autonomous tree growth options (self-study)
- Selecting regression inputs
- Optimizing regression complexity
- Interpreting regression models
- Transforming inputs
- Categorical inputs
- Polynomial regressions (self-study)
- Input selection
- Stopped training
- Other modeling tools (self-study)
- Model fit statistics
- Statistical graphics
- Adjusting for separate sampling
- Profit matrices
- Internally scored data sets
- Score code modules
- Cluster analysis
- Market basket analysis (self-study)
- Ensemble models
- Variable selection
- Categorical input consolidation
- Surrogate models
- SAS Rapid Predictive Modeler
- Banking segmentation case study
- Website usage associations case study
- Credit risk case study
- Enrollment management case study
Course 3- SAS Visual Business Analyst
Module 5 - SAS Visual Analytics 1 for SAS Viya: Basics
- Introduction to SAS Visual Analytics
- Exploring the SAS Visual Analytics course environment
- Viewing SAS Visual Analytics reports
- Investigating data in SAS Visual Analytics
- Transforming data using Data Studio
- Working with data items
- Exploring data with charts and graphs
- Creating data items and applying filters
- Performing data analysis (relationship charts)
- Creating a simple report
- Creating interactive reports
- Working with display rules
Module 6 - SAS Visual Analytics 2 for SAS Viya: Advanced
- Overview of SAS Visual Analytics
- Automated explanation
- Introduction to SAS Data Studio
- Restructuring data
- Analyzing geographic information
- Restructuring data
- Forecasting
- Restructuring data for network analysis
- Creating a network analysis object
- Creating calculated items
- Creating aggregated measures
- Creating advanced filters
- Creating advanced interactive filters
- Using numeric parameters
- Using character parameters
- Using date parameters
Course 4 - SAS Solutions for RISK and IFRS : An Introduction
- Risk defined
- Types of Risk
- Regulatory Bodies in Risk
- Basel Accords
- IFRS9
- IFRS17
- SAS for Credit and Market Risk
- SAS for Operational Risk
- SAS for IFRS9
- SAS for IFRS17
- Solution Components
- SAS process for IFRS9
- SAS Outcomes and Disclosure reports
- Solution Components
- SAS process for IFRS17
- SAS Outcomes and Disclosure reports
Course Batch Details


Sample Certificate
