Data Science with SAS Training in Electronic City
Let eMexo Technologies Best Data Science with SAS Training in Electronic City, Bangalore take you from the fundamentals of Data Science with SAS to Advance Data Science with SAS and make you an expert in developing real time Data Science with SAS applications. Here are the major topics we cover under this Data Science with SAS course Syllabus, Getting Started Using SAS, Getting Your Data into SAS, Working with Your Data, Sorting, Printing, and Summarizing Your Data, Enhancing Your Output with ODS, Modifying and Combining SAS Data Sets, Writing Flexible Code with the SAS Macro Facility, Using Basic Statistical Procedures, Exporting Your Data, Debugging Your SAS Programs and SAS/SQL. Each topic will be covered in practical way with examples for our Data Science with SAS Course in Electronic City.
All the topics will be covered with Practical and hands on training. Our trainers have industry experience with live project experience in cutting edge technologies which they teach. We hire only Best Data Science with SAS industry specialists as trainer for our Data Science with SAS Training in Electronic City.
If you are looking for Data Science with SAS Training in Electronic City, eMexo Technologies is the Best Data Science with SAS Training Institute in Electronic City. Come over to our training institute for a free demo class. Let our trainer give you a demo on Data Science with SAS and only then you take the decision to enroll into the Data Science with SAS Training in Electronic City.
Data Science with SAS Training Institute in Electronic City Features
Expert Instructors
60 hours of Instructor led Classes. Weekend class:20 sessions of 3 hours each and Weekday class: 30 sessions of 2 hours each.
Real life Case Studies
Do a real life case study to understand the usage on real world scenarios.
Assignments
Each class will be followed by practical assignments which can be completed before the next class.
Demo Class
Register today for a demo class to experience our teaching methodologies first hand and it’s completely free
FAQs
We at eMexo believe nothing beats a hands-on practice when it comes to learning a concept. Our teaching methodology is 100% practical hands-on oriented. You learn a concept, you practice it then and there with the trainer. We also give you assignments for each topic which you can practice at home and any doubts regarding the topic can be cleared with the trainer next day.
We generally cover our courses in 30 hours, however, we are aware that we can’t put a hard-stop to learning with a number. Our trainer will make sure that you have learned everything that is part of the curriculum. This could mean 28 hours or 35 hours, doesn’t matter.
We have industry standard course material which is used by our trainers to train you. At the end of the training apart from the notes which you have taken during the course, we will also provide you with the training material which was used. This training material includes the training content, interview questions etc.
Our trainers are working professionals who work in MNC’s. They are the expert in their domain and they know exactly what an interviewer looks into a candidate. Our expert trainers apart from sharing the interview questions they will also conduct mock interviews to help you prepare for the real interview.
Our trainers are industry experts who work in their respective technologies day in day out. They work in MNC’s and are technology experts within their organisation.
We maintain a strict batch size of maximum 5 students. We also provide exclusive one to one training as well. Talk to our training partner to get more details.
Yes, at the end of training we provide a certification of completion.
You will be added to a new batch.
Yes, we provide fast-track training as well for those who want to complete the course faster. The curriculum and the total hours required to complete the course will remain same. However, the trainer will be spending more hours with you to complete the course.
Our trainers are expert professionals in their organisations and they often act as the interviewer to hire new candidates. Our trainers will help you prepare your resume with industry standards. After all, they know exactly what to look in a resume.
We provide both regular and weekend training. Talk to our training partner to learn more about the timings.
Yes, apart from doing the hands-on practice our trainer will also be taking a real-world project and work with you for the implementation.
If you miss a class the content of that class will be taught to you again. With us you might miss a class but not the content.
Yes, absolutely! Talk to our training counsellor on phone at 9513216462 or email us at info@emexotechnologies.com to arrange for a free demo. You can also fill in the contact us form below and we will call you to discuss your training requirements.
Have Questions? Call our Course Advisor for discussing Curriculum Details – +91 9513216462
Book Your Free Demo Class For Data Science with SAS Training in Electronic City
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Getting Started Using SAS
- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R and RStudio
- SAS Data Sets
- The Two Parts of a SAS Program
- The DATA Step’s Built-in Loop
- Choosing a Mode for Submitting SAS Programs
- Windows and Commands in the SAS Windowing Environment
- Submitting a Program in the SAS Windowing Environment
- Reading the SAS Log
- Viewing Your Results in the Output Window
- Creating HTML Output
- SAS Data Libraries
- Viewing Data Sets with SAS Explorer
- Using SAS System Options
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Getting Your Data into SAS
- Methods for Getting Your Data into SAS
- Entering Data with the Viewtable Window
- Reading Files with the Import Wizard
- Telling SAS Where to Find Your Raw Data
- Reading Raw Data Separated by Spaces
- Reading Raw Data Arranged in Columns
- Reading Raw Data Not in Standard Format
- Selected Informats
- Mixing Input Styles
- Reading Messy Raw Data
- Reading Multiple Lines of Raw Data per Observation
- Reading Multiple Observations per Line of Raw Data
- Reading Part of a Raw Data File
- Controlling Input with Options in the INFILE Statement
- Reading Delimited Files with the DATA Step
- Reading Delimited Files with the IMPORT Procedure
- Reading PC Files with the IMPORT Procedure
- Reading PC Files with DDE
- Temporary versus Permanent SAS Data Sets
- Using Permanent SAS Data Sets with LIBNAME Statements
- Using Permanent SAS Data Sets by Direct Referencing
- Listing the Contents of a SAS Data Set
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Working with Your Data
- Creating and Redefining Variables
- Using SAS Functions
- Selected SAS Functions
- Using IF-THEN Statements
- Grouping Observations with IF-THEN/ELSE Statements
- Subsetting Your Data
- Working with SAS Dates
- Selected Date Informats, Functions, and Formats
- Using the RETAIN and Sum Statements
- Simplifying Programs with Arrays
- Using Shortcuts for Lists of Variable Names
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Sorting, Printing, and Summarizing Your Data
- Using SAS Procedures
- Subsetting in Procedures with the WHERE Statement
- Sorting Your Data with PROC SORT
- Printing Your Data with PROC PRINT
- Changing the Appearance of Printed Values with Formats
- Selected Standard Formats
- Creating Your Own Formats Using PROC FORMAT
- Writing Simple Custom Reports
- Summarizing Your Data Using PROC MEANS
- Writing Summary Statistics to a SAS Data Set
- Counting Your Data with PROC FREQ
- Producing Tabular Reports with PROC TABULATE
- Adding Statistics to PROC TABULATE Output
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Enhancing the Appearance of PROC TABULATE Output
- Changing Headers in PROC TABULATE Output
- Specifying Multiple Formats for Data Cells in PROC TABULATE Output
- Producing Simple Output with PROC REPORT
- Using DEFINE Statements in PROC REPORT
- Creating Summary Reports with PROC REPORT
- Adding Summary Breaks to PROC REPORT Output
- Adding Statistics to PROC REPORT Output
- Enhancing Your Output with ODS
- Concepts of the Output Delivery System
- Tracing and Selecting Procedure Output
- Creating SAS Data Sets from Procedure Output
- Using ODS Statements to Create HTML Output
- Using ODS Statements to Create RTF Output
- Using ODS Statements to Create PRINTER Output
- Customizing Titles and Footnotes
- Customizing PROC PRINT Output with the STYLE= Option
- Customizing PROC REPORT Output with the STYLE= Option
- Customizing PROC TABULATE Output with the STYLE= Option
- Adding Traffic-Lighting to Your Output
- Selected Style Attributes
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Modifying and Combining SAS Data Sets
- Modifying a Data Set Using the SET Statement
- Stacking Data Sets Using the SET Statement
- Interleaving Data Sets Using the SET Statement
- Combining Data Sets Using a One-to- One Match Merge
- Combining Data Sets Using a One-to- Many Match Merge
- Merging Summary Statistics with the Original Data
- Combining a Grand Total with the Original Data
- Updating a Master Data Set with Transactions
- Using SAS Data Set Options
- Tracking and Selecting Observations with the IN= Option
- Writing Multiple Data Sets Using the OUTPUT Statement
- Making Several Observations from One Using the OUTPUT Statement
- Changing Observations to Variables Using PROC TRANSPOSE
- Using SAS Automatic Variables
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Writing Flexible Code with the SAS Macro Facility
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Using Basic Statistical Procedures
- Examining the Distribution of Data with PROC UNIVARIATE
- Producing Statistics with PROC MEANS
- Testing Categorical Data with PROC FREQ
- Examining Correlations with PROC CORR
- Using PROC REG for Simple Regression Analysis
- Reading the Output of PROC REG
- Using PROC ANOVA for One-Way Analysis of Variance
- Reading the Output of PROC ANOVA
- Graphical Interfaces for Statistical Analysis
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Exporting Your Data
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Debugging Your SAS Programs
- Writing SAS Programs That Work
- Fixing Programs That Don’t Work
- Searching for the Missing Semicolon
- Note: INPUT Statement Reached Past the End of the Line
- Note: Lost Card
- Note: Invalid Data
- Note: Missing Values Were Generated
- Note: Numeric Values Have Been Converted to Character (or Vice Versa)
- DATA Step Produces Wrong Results but No Error Message
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SAS/SQL
- Introduction To SAS/ SQL
- Features
- Uses
- Terminology
- Data Types, Key Words, & Operators
- Functions, Predicates
- Formatting Output
- Group By Clause
- Order By Clause
- Having Clause
- Case Expression And Conditional Logic
- Creating ,Populating & Deleting Tables
- Alter Table Statement
- Changing Column’s Length
- Joins
- Constraints
- Renaming A Table & Columns
- Views
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