Course Duration
250 hrs
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Live Web
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Course hours 50 hrs
Training Mode Live Web
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Aspire Techsoft is the SAS Authorized Training Partner in Pune India that offers the SAS Financial Data Analyst Certification Course in Pune. We provide quality training by globally accredited SAS Certified experts. Our Financial Analytics with SAS Course in Pune comprises SAS certification cost with an Exam along with the best SAS Certified Finance Data Analyst Training. Candidates can learn the Complete SAS Business Analytics – Predictive and Financial Analytics Certificatio ...
• SAS Accredited Training centers are part of the SAS Learning Partner community. Educational Program provides a standardized, supervised and systematic approach to learning.
• SAS Finance Data analyst Certification Course is offered by SAS Accredited Training Partners. At the same time, thousands of non-institutes are offering SAS Training, where proper facility, as well as quality, cannot be guaranteed. If you are specifically looking for a SAS certification, no one but SAS can issue a global certificate.
• Whatever the type of educational institution, it largely depends on the core strength and knowledge of the instructor.
• SAS Accredited Training centers provide quality learning experiences to students and teachers. Their comprehensive training courses help you enhance your skills, prepare for certification exams and achieve your career goals.
Aspire Techsoft is the SAS Authorized Training Partner in Pune India that offers the SAS Financial Data Analyst Certification Course in Pune. We provide quality training by globally accredited SAS Certified experts. Our Financial Analytics with SAS Course in Pune comprises SAS certification cost with an Exam along with the best SAS Certified Finance Data Analyst Training. Candidates can learn the Complete SAS Business Analytics – Predictive and Financial Analytics Certificatio ...
• SAS Accredited Training centers are part of the SAS Learning Partner community. Educational Program provides a standardized, supervised and systematic approach to learning.
• SAS Finance Data analyst Certification Course is offered by SAS Accredited Training Partners. At the same time, thousands of non-institutes are offering SAS Training, where proper facility, as well as quality, cannot be guaranteed. If you are specifically looking for a SAS certification, no one but SAS can issue a global certificate.
• Whatever the type of educational institution, it largely depends on the core strength and knowledge of the instructor.
• SAS Accredited Training centers provide quality learning experiences to students and teachers. Their comprehensive training courses help you enhance your skills, prepare for certification exams and achieve your career goals.
By registering here, I agree to AspireIT Terms & Conditions and Privacy Policy
â–ª Enjoy a classroom experience from your desktop.
â–ª SAS training without travel
â–ª Ask questions and get answers in real-time
â–ª SAS instructors, virtually in your home/office or Campus
â–ª Access the latest software via a virtual lab
â–ª Also receive eLearning (video tutorials) for SAS Financial Data Anlyst
â–ª Receive 20 business days access to a recording of your course
â–ª Practice exam
â–ª An one attempt for the SAS Global Certification exam
â–ª Certification preparatory sessions
â–ª Validate your learning and share your achievements with a SAS Digital Badge
â–ª Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
â–ª Windows 7, Windows 8 or later.
â–ª Cable modem, DSL, or better Internet connection.
â–ª Internet bandwidth 2 mbps(recommended).
â–ª Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).
This course addresses Base SAS, SAS Data Integration Studio, SAS Visual Analytics, and SAS Solution for IFRS 17 software
Certified SAS Financial Analyst Course
• Non-engineering/MBA/Masters/Graduate in Finance
• Statistical knowledge required
• Educational Qualification: BCOM, MCOM, BBA, MBA, BTECH, MTECH
• Masters degree in Management /Finance /Mathematics /Statistics /Operation can apply for SAS Financial Data Analytics Certification Course.
• SAS Financial Data Analyst Certification is well suited for Banking and Finance Professionals in any domain.
• Financial Analytics with SAS Course in Pune at Aspire Techsoft Academy you get to choose what you learn – and how you learn it. Find a format that suits your style.
• Instructor-led SAS Financial Analytics using SAS Course in Pune.
• Four immersive programs developed by leading analytical experts consisting of 6 modules.
• An exhaustive - training of 240 hrs consisting of data management, data mining skills, advanced.
• Modeling 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 the 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 everyday sessions.
• 1 attempts for each of the Three certification exams.
• Practice exams for certification exams (whichever is available).
Our SAS Financial Data Analyst live web training is conducted by globally acclaimed SAS instructors and will not be pre-recorded sessions. SAS instructors encourage you to expand your thinking, discuss, and share with you so that you can master the SAS skills you learn and achieve your goals.
• Virtual Live Web SAS Financial Data Management Course - Participate remotely from your home or office.
• Ask questions and share ideas during SAS Finance Data Analyst Certification Live Web class hours and on-demand lab hours.
• Best SAS finance data analyst course in pune- Join in person with an instructor right next to you.
• Private team training – for your team virtually or at our location or schedule for you.
SAS classroom training options include courses offered through our live web classroom.
• SAS Financial Data Analyst Training - Get involved in person with a SAS expert by your side
• Focused on learning away from the office
• Networking opportunities
• State-of-the-art facilities for SAS Financial Data Analyst Classroom Training in Pune
• Permission to download electronic course notes, study material, and print to your device
• In-depth courses on comprehensive business topics
• We offer connected Financial Analyst Certification classes in Pune!
Contact us to learn more about SAS Financial Data Analyst Certification course!
• 240 hrs of exhaustive content developed by Industry experts
• Financial Analytics with SAS Course Curriculum Official, mapped to Globally recognized credentials
• Our SAS Financial Data Analyst Training in Pune using a combination of comprehensive course notes, lectures, software demonstrations, hands-on exercises
• SAS official courseware
• Latest SAS official software used for training with SAS proprietary datasets
• Inclusive learning methods encourage trainee’s active participation
• Training executed only by immensely experienced SAS trainers
• When you earn an internationally recognized credential from SAS, you also earn a Digital Badge that validates your learning and connects your new skills to jobs
• Base SAS; SAS/ACCESS
• SAS/STAT; Base SAS; SAS Analytics Pro
• Training & Digital Badge
• Course material.
• Subset data
• 1 attempts of Global certification worth $180.
• Save more by enrolling for Advance SAS certification Package
Academic Software
E-Learning
Certification & Badging
Discounts
Career resources
• 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.
• 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.
• 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 an 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.
• This course is designed for SAS Enterprise Guide users who want to perform statistical analysis.
• Generate descriptive statistics and data exploration in graphs; perform linear regression techniques, using diagnostic statistics to identify multiple regressions.
• Beneficial to statisticians and business analysts who want to interface with SAS
• These courses use the SAS Enterprise Miner toolset to perform the essentials of data analytics such as graphically exploring data, modifying data for better results in data analytics, building future models such as decision trees, regression, and neural network models, and to understand, as well as applying association and sequence searches to transactional data.
• This course provides an introduction & advanced features of data preparation, data discovery, analytics, and report creation in SAS Visual Analytics
• Using SAS Visual Analytics you will learn the following: Accessing and examining data, searching and analyzing data, creating interactive reports, geographic analysis, forecasting, network analysis, path analysis, reconstructing data by text analysis, data filtering in advanced data, etc.
• This course can help prepare you for the following certification exam(s): SAS Certified Specialist: Visual Business Analytics 7.5/8.3 credential.
• This course introduces data and risk analysts to 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.
• Key features of SAS Solutions for RISK and IFRS are Modeling & analytics, Modeling, and analytics, Unified workflows frameworks, and reporting, financial aggregation, etc.
•The SAS Financial Data Analyst Course digital badge represents your skills and expertise online and allows sharing in real-time for easy verification. You can easily share this digital badge on various social media platforms like LinkedIn, Facebook and Twitter.
• SAS Financial Data Analyst Course helps you to prepare the following SAS Credentials
The fees is inclusive of Instructor Based Training, Course material (PDF) & One attempt of Global Certification worth 180$ for-
1. SAS Certified Specialist: Base Programming Using SAS 9.4 (Exam id A00-231)
2. SAS Certified Specialist: SAS Visual Analytics using SAS Viya (Exam ID A00-470)
3. SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 (Exam ID A00-255)
Certification attempt needs to be taken within 3 months of course completion.
• SAS Financial Data Analyst
• Financial Analyst – Analytics & Reporting
• Health Care Financial Analyst
• Finance Manager
• Team Lead, Operations
• Data Analyst (Statistician)
• SAS Data Engineer
• Lead Fraud/Risk Analyst
• SAS Credit Risk Analyst
• Senior Analyst – Risk Managemen
• Lead Business Analyst
â–ª the SAS programming process
â–ª using SAS programming tools
â–ª understanding SAS syntax
â–ª understanding SAS data
â–ª accessing data through libraries
â–ª importing data into SAS
â–ª exploring data
â–ª filtering rows
â–ª formatting columns
â–ª sorting data and removing duplicates
â–ª reading and filtering data
â–ª computing new columns
â–ª conditional processing
â–ª enhancing reports with titles, footnotes, and labels
â–ª creating frequency reports
â–ª creating summary statistics reports
â–ª exporting data
â–ª exporting reports
â–ª using Structured Query Language in SAS
â–ª joining tables using SQL in SAS
â–ª setting up for this course
â–ª understanding DATA step processing
â–ª directing DATA step output
â–ª creating an accumulating column
â–ª processing data in groups
â–ª understanding SAS functions and CALL routines
â–ª using numeric and date functions
â–ª using character functions
â–ª using special functions to convert column type
â–ª creating and using custom formats
â–ª creating custom formats from tables
â–ª concatenating tables
â–ª merging tables
â–ª identifying matching and nonmatching rows
â–ª using iterative DO loops
â–ª using conditional DO loops
â–ª restructuring data with the DATA step
â–ª restructuring data with the TRANSPOSE procedure
â–ª Discussing fundamental statistical concepts.
â–ª Examining distributions.
â–ª Describing categorical data.
â–ª Constructing confidence intervals
â–ª Performing simple tests of hypothesis.
â–ª Performing one-way ANOVA.
â–ª Performing multiple comparisons.
â–ª Performing two-way ANOVA with and without interactions
â–ª Using exploratory data analysis.
â–ª Producing correlations.
â–ª Fitting a simple linear regression model.
â–ª Understanding the concepts of multiple regression.
â–ª Building and interpreting models
â–ª Describing all regression techniques
â–ª Exploring stepwise selection techniques.
â–ª Examining residuals
â–ª Investigating influential observations and collinearity
â–ª Describing categorical data.
â–ª Examining tests for general and linear association.
â–ª Understanding the concepts of logistic regression and multiple logistic regression.
â–ª Performing backward elimination with logistic regression
â–ª Introduction to SAS Enterprise Miner.
â–ª Creating a SAS Enterprise Miner project, library, and diagram.
â–ª Defining a data source.
â–ª Exploring a data source.
â–ª Introduction.
â–ª Cultivating decision trees.
â–ª Optimizing the complexity of decision trees.
â–ª Understanding additional diagnostic tools (self-study).
â–ª Autonomous tree growth options (self-study).
â–ª Selecting regression inputs.
â–ª Optimizing regression complexity.
â–ª Interpreting regression models.
â–ª Transforming inputs.
â–ª Categorical inputs
â–ª Polynomial regressions (self-study).
â–ª Input selection.
â–ª Stopped training.
â–ª Other modeling tools (self-study).
â–ª Model fit statistics.
â–ª Statistical graphics.
â–ª Model fit statistics.
â–ª Adjusting for separate sampling.
â–ª Profit matrices.
â–ª Internally scored data sets.
â–ª Score code modules.
â–ª Cluster analysis.
â–ª Market basket analysis (self-study).
â–ª Ensemble models
â–ª Variable selection.
â–ª Categorical input consolidation.
â–ª Surrogate models.
â–ª SAS Rapid Predictive Modeler..
â–ª Banking segmentation case study.
â–ª Website usage associations case study.
â–ª Credit risk case study.
â–ª Enrollment management case study..
â–ª Introduction to SAS Visual Analytics.
â–ª Exploring the SAS Visual Analytics course environment..
â–ª Viewing SAS Visual Analytics reports..
â–ª Investigating data in SAS Visual Analytics.
â–ª Transforming data using Data Studio.
â–ª Working with data items.
â–ª Exploring data with charts and graphs.
â–ª Creating data items and applying filters.
â–ª Performing data analysis (relationship charts).
â–ª Creating a simple report.
â–ª Creating interactive reports.
â–ª Working with display rules.
â–ª Overview of SAS Visual Analytics.
â–ª Automated explanation.
â–ª Introduction to SAS Data Studio.
â–ª Restructuring data.
â–ª Analyzing geographic information.
â–ª Restructuring data.
â–ª Forecasting.
â–ª Restructuring data for network analysis.
â–ª Creating a network analysis object..
â–ª Creating calculated items.
â–ª Creating aggregated measures.
â–ª Creating advanced filters.
â–ª Creating advanced interactive filters.
â–ª Using numeric parameters.
â–ª Using character parameters.
â–ª Using date parameters.
â–ª Risk defined.
â–ª Types of Risk.
â–ª Regulatory Bodies in Risk.
â–ª Basel Accords.
â–ª IFRS9.
â–ª IFRS17.
â–ª SAS for Credit and Market Risk
â–ª SAS for Operational Risk.
â–ª SAS for IFRS9.
â–ª SAS for IFRS17.
â–ª Solution Components
â–ª SAS process for IFRS9.
â–ª SAS Outcomes and Disclosure reports.
â–ª Solution Components
â–ª SAS process for IFRS17.
â–ª SAS Outcomes and Disclosure reports.
â–ª the SAS programming process
â–ª using SAS programming tools
â–ª understanding SAS syntax
â–ª understanding SAS data
â–ª accessing data through libraries
â–ª importing data into SAS
â–ª exploring data
â–ª filtering rows
â–ª formatting columns
â–ª sorting data and removing duplicates
â–ª reading and filtering data
â–ª computing new columns
â–ª conditional processing
â–ª enhancing reports with titles, footnotes, and labels
â–ª creating frequency reports
â–ª creating summary statistics reports
â–ª exporting data
â–ª exporting reports
â–ª using Structured Query Language in SAS
â–ª joining tables using SQL in SAS
â–ª setting up for this course
â–ª understanding DATA step processing
â–ª directing DATA step output
â–ª creating an accumulating column
â–ª processing data in groups
â–ª understanding SAS functions and CALL routines
â–ª using numeric and date functions
â–ª using character functions
â–ª using special functions to convert column type
â–ª creating and using custom formats
â–ª creating custom formats from tables
â–ª concatenating tables
â–ª merging tables
â–ª identifying matching and nonmatching rows
â–ª using iterative DO loops
â–ª using conditional DO loops
â–ª restructuring data with the DATA step
â–ª restructuring data with the TRANSPOSE procedure
â–ª Discussing fundamental statistical concepts.
â–ª Examining distributions.
â–ª Describing categorical data.
â–ª Constructing confidence intervals
â–ª Performing simple tests of hypothesis.
â–ª Performing one-way ANOVA.
â–ª Performing multiple comparisons.
â–ª Performing two-way ANOVA with and without interactions
â–ª Using exploratory data analysis.
â–ª Producing correlations.
â–ª Fitting a simple linear regression model.
â–ª Understanding the concepts of multiple regression.
â–ª Building and interpreting models
â–ª Describing all regression techniques
â–ª Exploring stepwise selection techniques.
â–ª Examining residuals
â–ª Investigating influential observations and collinearity
â–ª Describing categorical data.
â–ª Examining tests for general and linear association.
â–ª Understanding the concepts of logistic regression and multiple logistic regression.
â–ª Performing backward elimination with logistic regression
â–ª Introduction to SAS Enterprise Miner.
â–ª Creating a SAS Enterprise Miner project, library, and diagram.
â–ª Defining a data source.
â–ª Exploring a data source.
â–ª Introduction.
â–ª Cultivating decision trees.
â–ª Optimizing the complexity of decision trees.
â–ª Understanding additional diagnostic tools (self-study).
â–ª Autonomous tree growth options (self-study).
â–ª Selecting regression inputs.
â–ª Optimizing regression complexity.
â–ª Interpreting regression models.
â–ª Transforming inputs.
â–ª Categorical inputs
â–ª Polynomial regressions (self-study).
â–ª Input selection.
â–ª Stopped training.
â–ª Other modeling tools (self-study).
â–ª Model fit statistics.
â–ª Statistical graphics.
â–ª Model fit statistics.
â–ª Adjusting for separate sampling.
â–ª Profit matrices.
â–ª Internally scored data sets.
â–ª Score code modules.
â–ª Cluster analysis.
â–ª Market basket analysis (self-study).
â–ª Ensemble models
â–ª Variable selection.
â–ª Categorical input consolidation.
â–ª Surrogate models.
â–ª SAS Rapid Predictive Modeler..
â–ª Banking segmentation case study.
â–ª Website usage associations case study.
â–ª Credit risk case study.
â–ª Enrollment management case study..
â–ª Introduction to SAS Visual Analytics.
â–ª Exploring the SAS Visual Analytics course environment..
â–ª Viewing SAS Visual Analytics reports..
â–ª Investigating data in SAS Visual Analytics.
â–ª Transforming data using Data Studio.
â–ª Working with data items.
â–ª Exploring data with charts and graphs.
â–ª Creating data items and applying filters.
â–ª Performing data analysis (relationship charts).
â–ª Creating a simple report.
â–ª Creating interactive reports.
â–ª Working with display rules.
â–ª Overview of SAS Visual Analytics.
â–ª Automated explanation.
â–ª Introduction to SAS Data Studio.
â–ª Restructuring data.
â–ª Analyzing geographic information.
â–ª Restructuring data.
â–ª Forecasting.
â–ª Restructuring data for network analysis.
â–ª Creating a network analysis object..
â–ª Creating calculated items.
â–ª Creating aggregated measures.
â–ª Creating advanced filters.
â–ª Creating advanced interactive filters.
â–ª Using numeric parameters.
â–ª Using character parameters.
â–ª Using date parameters.
â–ª Risk defined.
â–ª Types of Risk.
â–ª Regulatory Bodies in Risk.
â–ª Basel Accords.
â–ª IFRS9.
â–ª IFRS17.
â–ª SAS for Credit and Market Risk
â–ª SAS for Operational Risk.
â–ª SAS for IFRS9.
â–ª SAS for IFRS17.
â–ª Solution Components
â–ª SAS process for IFRS9.
â–ª SAS Outcomes and Disclosure reports.
â–ª Solution Components
â–ª SAS process for IFRS17.
â–ª SAS Outcomes and Disclosure reports.
By registering here, I agree to AspireIT Terms & Conditions and Privacy Policy
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Enroll Now for SAS Financial Data Analyst Course Fees in Pune with Aspire Techsoft Academy by calling this number +91 – 9960935600. You will get the complete information regarding the Financial Data analyst using SAS Details with more information.
After doing an IT course, certification is always a hot topic. If you want to do certification in SAS or do an exam preparation, SAS Community always gives advice to the aspirants.
Certification Details: SAS Certified Specialist: Base Programming Using SAS 9.4 (Exam id A00-231) SAS Certified Specialist: SAS Visual Analytics using SAS viya (Exam ID A00-470
SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 (Exam ID A00-255)
We offer a wide range of SAS Instructor-Based Training, Live Web Base SAS Course and Base SAS eLearning Training courses to prepare for Base SAS Certification.
To help candidates prepare for the financial data analyst Certification exam, you can enroll with finance data analyst with SAS Training in Pune, SAS instructor-based training, Aspire Techsoft Provides SAS Financial Data Analyst Course in pune. Information on exam preparation options is listed on the Exam Preparation tab in each exam.
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Inclusive of SAS Base Programming, Data Management, Business Statistics, Data Visualization, Data Mining & more theory and more.
Our SAS Financial Data Analyst live web training is conducted by globally acclaimed SAS Certified Experts. You can ask questions and share ideas during SAS finance data analyst Live Web class hours and on-demand lab hours.
Achieve your SAS certification goals with guidance from our SAS Certified experts. Join webinars from our SAS experts for in-depth learning.
Use our free practice tests to prepare for SAS Financial Data Analyst certification. So it's a good way to make sure you're ready to schedule and take the SAS Finance Data Analyst certification exam.
Get access to the latest SAS software for a practical Finance Data Analyst using SAS learning experience.
Add an SAS certification to your resume / CV and earn a digital badge to share on social media sites with your network, So that your potential employers will know that you have achieved SAS Skills.
When you complete the SAS Financial Data Analyst Certification course here you will earn a SAS Learning and SAS Certified Digital Badge that you can share with potential employers and your professional network.
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In today's era, many big companies use SAS tools for their business analysis. Many IT Companies are hiring SAS certified professionals for data analytics and processing positions with SAS essential skills.
In today's era, many big companies use SAS tools for their business analysis. Many IT Companies are hiring SAS certified professionals for data analytics and processing positions with SAS essential skills.