Best Data Science with SAS Training Institute in Delhi NCR
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WHAT IS DATA SCIENCE?
CETPA INFOTECH delivers job –oriented Data Science using SAS Training in Noida with the help of Industry Experts. SAS has been the unquestionable market leader in commercial analytics space. The software offers huge array of statistical functions, having good GUI (Enterprise Guide & Miner) for people to learn quickly and provides awesome technical support.
In this Data Science with SAS Training in Noida by CETPA you will become an expert in analytic techniques using the SAS data science tool.It is the best data science using SAS training institute in Delhi NCR .You will be trained on how to apply data optimization and manipulation methods; advanced statistical concepts like linear regression, clustering, and decision trees; data analysis techniques to solve real world business problems and predictive modeling techniques.
Why CETPA Infotech for Data Science using SAS Training?
There are a number of reasons that make CETPA Infotech a go-to option for students who want to learn in Data Science using SAS Noida. Some of the reasons include-
- More than 13 years of experience in the industry
- Hundreds if candidates trained and placed in a number of reputed companies
- Students get to work on Live Projects
- World-class infrastructure with latest facilities
- Certified and experienced team of professionals to provide best Data Science using SAS training in Noida
- Regular tests to monitor the progress of students
- Limited number of students per batch
- Training period ranges between 4 months/6 months
- Weekend batches for working professionals
- Online training provided at international level
- Comprehensive curriculum to prepare the students for the challenging programming care.
While there are a number of institutes offering Data science using SAS training in Delhi NCR, CETPA Infotech has been able to stay at top position on a consistent basis. Our focus on creating a learning environment, united with our experienced team of professionals and world- class infrastructure has helped us deliver the best to our students and has made us the best data science using SAS training center in Noida.
WHY CETPA INFOTECH FOR DATA SCIENCE USING SAS TRAINING
There are number of reasons which make CETPA one of the Data Science with SAS Training Institute in Noida. Some of them include-
- CETPA is the market leader in providing training in different cutting edge technologies.
- More than 15 years of experience in training and placing students.
- Live Interactive training by Certified & industry expert Trainers
- This training offers its participants a complete overview on Data Science that can be used to solve real world business problems
- Fast-track / Regular / Weekend Batches available
- Flexible Class Timings
- 1 Year Membership card
- World-class infrastructure with latest facilities
- Opportunity to work on real time projects.
- Internationally accepted and recognized certifications
- Assured Placement Assistance
Mode/Schedule of Training:
CETPA, The Best Data Science Using Sas Training Institute in Delhi NCR offers courses in following modes.
| Delivery Mode | Location | Course Duration | Schedule (New Batch Starting) |
|---|---|---|---|
| Classroom Training (Regular/ Weekend Batch) | *Noida/ Lucknow *Dehradun /Roorkee | 4/6/12/24 weeks | New Batch Wednesday/ Saturday |
| *Instructor -Led Online Training | Online | 40/60 Hours | Every Saturday or as per the need |
| *Virtual Online Training | Online | 40/60 Hours | 24×7 Anytime |
| College Campus Training | India or Abroad | 40/60 Hours | As per Client’s need |
| Corporate Training (Fly a Trainer) | Training in India or Abroad | As per need | Customized Course Schedule |
Getting Familiar with DATA Science
- Importance of Analytics industry & need of the hour
- Types of analytics – Fraud, Marketing, Risk, Operations, etc
- Business & Technology drivers for analytics
- Analytics Tool Kit – Popular tools & Techniques in the Industry
- Future of analytics & How to fullfill requirement.
- Types of problems and business objectives in various industries
- Different phases of Analytics Project
Analytics using Advanced Excel
- Introduction to Excel
- Working with Formulas and functions
- Conditional Formatting
- Advance Filtering, Sorting, Paste special 15different functions.
- Functions (Logical & Text, Mathematical,Statistical)
- Data Manipulation & Data Consolidation
- Data Analysis using Analysis Tool Pack(Histogram, Correlation, etc)
- Analyzing Data using Pivot Tables
- Use in Quality Industry using Pareto Analysis
- Creating Charts & Graphs
- Data analytical tool (What -if analysis, Goal seek,Data Table, Solver)
- Protecting Workbooks, worksheets and formula
Analytics using SAS
Getting into SAS
- Introduction to SAS, GUI
- Creation and Analysis of SAS Dataset (Data &Proc Steps – Statements & options)
- Debugging SAS Codes
- Importing different types of data & connecting todata bases
- Data Understanding(Variable attributes(format,informat, length, label etc))
- Concepts of Libraries, PDV, data execution, etc
- SAS Procedures for data import /export / understanding(Proc import/Proc Export)
Data Manipulation using SAS
- Data Manipulation steps(Sorting, filtering,duplicates, merging, appending, subsetting,derived variables, sampling, Data typeconversions renaming, formatting, etc)
- Data manipulation tools (Operators, Functions,Procedures, conditional , Loops, arrays, etc)
- SAS Functions (Text, numeric, date, utilityfunctions)
- SAS Procedures for data manipulation (Procsort, proc format, etc)
- SAS Options (System Level, procedure level)
- Debugging SAS Codes
- Importing different types of data & connectingto data bases
- Data Understanding(Variable attributes(format,informat, length, label etc))
- Concepts of Libraries, PDV, data execution, etc
- SAS Procedures for data import /export /understanding(Proc import/Proc Export
ANNOVA
- Verify the assumptions of ANOVA
- Analyze differences between population means using the GLM and TTEST procedures
Linear Regression Model
- Linear Regression – Introduction – Applications
- Assumptions of Linear Regression
- Building Linear Regression Model
- Understanding standard metrics (Variablesignificance, R-square/Adjusted R-Square)
- Validation of Linear Regression Models (Rerunning Vs. Scoring)
- Standard Business Outputs (Decile Analysis,Error distribution (histogram), Model equation,drivers etc)
Advanced SAS
- Introduction to Advnaced SAS – Proc SQL &Macros
- Understanding select statement (From, where,group by, having, order by etc)
- Proc SQL – Data creation/extraction
- Proc SQL – Data Manipulation steps
- Proc SQL – Summarizing Data
- Proc SQL – Concept of sub queries, indexes etc
- SAS Macros – Creating/defining macro variables
- SAS Macros – Defining/calling macros
- SAS Macros- Concept of local/global variables
- SAS Macros – Debugging techniques
Descriptive Analysis via SAS
- Types of Data (Metric and Non Metric)
- Descriptive statistics, Inferential Statistics
- Introduction to data analysis
- Frequency Tables and summarization
- Univariate Analysis (Distribution of data &Graphical Analysis)
- Bivariate Analysis(Cross Tabs, Distributions &Relationships, Graphical Analysis)
- SAS Procedures for Data Analysis(proc freq/Procmeans/proc summary/proc tabulate/Procunivariate etc)
- SAS Procedures for Graphical Analysis (ProcSgplot, proc gplot etc)
T-Test Interpretation
- Concept of Hypothesis Testing
- P-Value Approach in Accepting and Rejecting Hypothesis
- DV and IV
- Interpretation of Results – Business Validation – Implementation on new data
Chi Square Test
- Working on NOMINAL datas
- Cramer’s V importance
Logistic Regression Model
- Logistic Regression – Introduction – Applications
- Linear Regression Vs. Logistic Regression Vs.Generalized Linear Models
- Building Logistic Regression Model
- Understanding standard model metrics(Concordance, Variable significance, HosmerLemeshov Test, Gini, KS, Misclassification etc)
- Validation of Logistic Regression Models
- Interpretation of Results – Business Validation -Implementation on new data
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Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Students 0
- Assessments Yes
