Best SAS Training Institute in Noida, Delhi - Fee is 16000 Rs

Best SAS Training Institute In Noida
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Webtrackker Training Centre


Best SAS Training Institute In Noida & SAS Training Institutes In Noida

webtrackker technology (P) LTD is the best IT company provides Best SAS Training in Noida, Delhi With 100% placement guarantee. Webtrackker is an IT company and also dealing in all IT training courses. we have real time working trainer on Our SAS training. our trainer having 4 to 8 Years’ Experience in SAS training. After completing our SAS training program we will provide you 100% placements in MNCs or Other Company. webtrackker is the Best SAS Training Institute in Noida that provide live project base training/ hands on practical experience with top MNCs company placement. webtrackker trainer have 8+ years of real-time experience on SAS projects In Top MNCs Company SAS training institute in Noida, Delhi

Best SAS Training Institute in noida -Webtrackker Technology PVT LTD is the Best SAS Training institute in Noida, Delhi. Candidates learn in SAS :- Retained variables, Working with grouped observations, Combining data by merging, SAS arrays, SAS Work Environment etc with Live Project in Our SAS Placement Training Course we will cover aptitude test preparation also. webtrackker is the Best SAS Training institute in Noida, Delhi

Best SAS Training institute in Noida - webtrackker place 100+ candidates in Top MNCs company after completing SAS training. webtrackker provide server facility or Lab facility for practical. well furniture, AC class, smart LCD class, Personality development classes, interview session, English speaking session 8+ years of real-time experience Trainers. Webtrackker follow performance check process for every student. webtrackker provides SAS placement training. SAS certification training in Noida, Delhi. We also provide fast track training programs for students

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Top Reasons to Choose WEBTRACKKER for SAS Training in Noida

  • SAS training in Noida, Delhi 5 to 7 Students in batch.
  • We will provide you training recording tutorials sessions in case candidate missed any training lecture.
  • Our all training base on live practical and project base as per industry requirement.
  • we follow current industry standards training program
  • all training program provide by our placement partners
  • we conducted daily base training program and also weekend base also We can customize our training program as per candidate requirement
  • our all faculty having 6 to 10+ years current industry experience
  • our all trainer are certified professionals
  • we have 60+ system lab with latest version of hardware and software.
  • we conduct 100 % free personality development classes with Mock Job interviews & Presentation skills
  • we provide 100% free study material in form of E-Book’s, video, Dumps paper, 800 Interview Questions with Project and Source material
  • After completing course we offer course complete Certificate along with 6 months company experience latter
  • Smart classrooms fully equipped with projectors and Wi-Fi connectivity.
  • we offer 100% placement with reference interview call
  • Hostel facilities available at Rs.4,500/- per month

WEBTRACKKER Trainer's Profile for SAS Training in Noida

WEBTRACKKER'S SAS Trainers are:

  • our all faculty having 6 to 10+ years current industry experience
  • our all trainer are working in Top multinational companies like Birlasoft , HCL Technologies, IBM ,TCS, Sapient etc.
  • Are working professionals working in multinational companies such as HCL Technologies, Birlasoft, TCS, IBM, Sapient, Agilent Technologies etc.
  • They are subject specialist and up to date in the subject they have ability to deliver the best knowledge because they continue to spend time in the real world industry
  • They are well connected with Multinational company’s hiring HRs to providing the placement as soon as possible
  • They help to student to develop the ability as per current industry standards to get the success for their dream job

Placement Assistance after SAS Training in Noida

WEBTRACKKER'S 100% Placement Assistance

  • webtrackker Top Placement Company are :- HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM etc See Webtrackker Recent Placement Clients
  • webtrackker hr team focuses on Group Discussions, personality development, and create students RESUME as per current company standards
  • After completion of 70% training course content, we will arrange the interview calls to students & prepare them to F2F interaction. See webtrackker Recent Placed Candidates

webtrackker Course duration for SAS Training in Noida

  • Fast Track Training Program (4+ hours Saturday And Sunday)
  • Demo Classes (Free Demo Class Time 1 pm Saturday And Sunday)
  • Weekend Training Classes (Saturday, Sunday & Holidays)
Webtrackker Projects

Webtrackker is IT based company in many countries. Webtrackker will provide you a real time projects based traning on SAS like credit card projects, railway projects and so on.

Modules About Modules
introduction to SAS introduction, need for SAS, who uses SAS, what is SAS?, overview of base SAS software, data management facility, structure of SAS dataset, SAS program, programming language, elements of the SAS language, rules for SAS statements, rules for most SAS names, special rules for variable names, types of variables, data analysis and reporting utilities, traditional output, ways to run SAS programs, SAS windowing environment, noninteractive mode, batch mode, interactive line mode, running programs in the SAS windowing environment
how SAS works writing your first SAS program, a simple program to read raw data and produce a report, enhancing the program, more on comment statements, internal processing in SAS, how SAS works, the compilation phase, the execution phase, processing a data step a walkthrough, creating the input buffer and the program data vector, writing an observation to the SAS data set, four types of SAS libraries, SAS libraries, work library, SAShelp library, SASuser library
reading raw data into SAS what is raw data, definitions, data values, numeric value, character value, standard data, nonstandard data, numeric data, character data, choosing an input style, list input, modified list input, column input, formatted input, named input, instream data, creating multiple records from single input row, reading data from external files, reading blank separated values (list or free form data), reading raw data separated by commas (.csv files), reading in raw data separated by tabs (.txt files), using informats with list input, supplying an informat statement with list input, using list input with embedded delimiters, reading raw data that are aligned in columns, method 1 column input, method 2 formatted input, using more than one input statement the single trailing @, reading column data that is on more than one line, mixed-style input, infile options for special situations, flowover, missover, truncover, pad, using lrecl to read very long lines of raw data, checking your data after it has been read into SAS
reading data from a dataset introduction, set statement overview, automatic variables in SAS, interleave multiple SAS data sets, combine multiple SAS data sets, creating & modifying variables, creating multiple datasets in a single data-step, subsetting observations, conditional SAS statements, logical and special operators, the SAS supervisor and the set statement, efficiency and the set statement, know your data, set statement data set options, drop and keep options, rename option, firstobs and obs options, in option -, where option -, other set statement options, end option, key option, nobs option, point option, do loops and the set statement, introduction to retain statement, carry over values from one observation to another, compare values across observations, assign initial values, determining column order in output dataset, SAS system options
reading data from a dataset input SAS data set for example, selecting observations for a new SAS data set, deleting observations based on a condition, accepting observations based on a condition, comparing the delete and subsetting if statements, methods of creating new data sets with a subset, subsetting records from an external file with a subsetting if statement, subsetting observations in a data step with a where statement, subsetting observations in a proc step with a where statement, subsetting observations in proc sql, difference between if and where
SAS informats and formats overview, using SAS informats, input statement, input function, inputn and inputc functions, attrib and informat statements, using SAS formats, format statement in procedures, put statement, put function, putn and putc functions, bestw. Format, additional comments
Modules About SAS-Fumction
Unix-SaS categories of functions, SAS character functions, functions that change the case of characters, upcase, lowcase, propcase, functions that remove characters from strings, function compbl, function compress, functions that search for characters, function anyalnum, function anyalpha, function anydigit, function anypunct, function anyspace, function notalnum, function notalpha, function notdigit, function notupper, functions that search strings, find and findc, index, indexc, and indexw, functions to verify data, function verify, functions that extract parts of strings, function substr (on the left-hand side of the equal sign), function substrn, functions that join two or more strings together, function cat, function cats, function catt, function catx, functions that remove blanks from strings, function left, function right, function trim, function trimn, function strip, functions that compare strings, function compare, functions that divide strings into "words", function scan, function scanq, functions that substitute letters or words in strings, function translate, function tranwrd, functions that compute the length of strings, function length, function lengthc, function lengthm, function lengthn, functions that count the number of letters or substrings in a string, function count, function countc, miscellaneous string functions, function missing, function repeat, function reverse, SAS date and time functions, introduction, what is a SAS date and time literal?, date and time functions, functins to create date and time values, functions to takie datetime values apart, functions to get quarter ,year or day of the date, functions that work with intervals, using formats for date and time, system options fordate and time
an introduction to arrays and array processing why do we need arrays?, basic array concepts, array statement, array references, variable name array reference, using array indexes, one dimension arrays, multi-dimension arrays, temporary arrays, sorting arrays, determining array bounds lbound and hbound functions, when to use arrays, common errors and misunderstandings, invalid index range, function name as an array name, array referenced in multiple data steps, but defined in only one
by - group processing definitions for by-group processing, by-group processing, by value, by group, first.variable and last.variable, modifying SAS data sets examples., invoking by-group processing, preprocessing input data for by-group processing, sorting observations for by-group processing, indexing for by-group processing, how the data step identifies by groups, processing observations in a by group, how SAS determines first.variable and last.variable, processing by-groups in the data step, overview, processing by-groups conditionally, data not in alphabetic or numeric order, data grouped by formatted values
overview of methods for combining SAS data sets definitions concatenating interleaving one-to- one reading or one-to-one merging match-merging updating modifying definitions for reading, combining, and modifying SAS data sets reading a SAS data set combining SAS data sets modifying SAS data sets overview of tools reading SAS data sets reading a single SAS data set reading from multiple SAS data sets combining SAS data sets basic concepts one-to-one one-to-many and many-to-one many-to-many access methods sequential versus direct sequential access direct access one-to-one reading data step processing during a one-to-one reading one-to-one merging match-merging updating with the update and the modify statements definitions syntax of the update statement syntax of the modify statement - updating with nonmatched observations, missing values, and new variables - using an index with the modify statement
SAS procedures introduction, the anatomy of a proc, the proc statement, title and footnote statements, by statement, label statement, format statement, run or quit statement, description of data used in reports, SAS reporting procedures, procs for all that detail, using proc print, using proc sql, proc report, procs that summarize, using proc chart, using proc freq, using proc means, using proc univariate, introduction to proc tabulate, data manipulation and management procedure, proc sort, proc datasets, proc format, proc contents, other important procs, proc transpose, definitions, proc printto, compare procedure, proc append, how to import an excel file into SAS
introduction to proc sql introduction, why learn proc sql?, select statement, the select statement syntax, a simple proc sql, a complex proc sql, limiting information on the select, creating new variables, the calculated option on the select, using labels and formats, the case expression on the select, additional select statement clauses, remerging, remerging for totals, calculating percentage, sorting the data in proc sql, sort on new column, subsetting using the where, incorrect where clause, where on computed column, selection on group column, use having clause, creating new tables, joining datasets using proc sql, inner join, joining three or more tables, outer joins, including nonmatching rows with the right outer join, selecting all rows with the full outer join, concatenating query results
an introduction to SAS macros introduction, SAS macro overview, traditional SAS programming, the SAS macro language, macro language components, macro variables, macro statements, macro processor flow, automatic macro variables, macro debugging options, what is a macro?, defining and using macros, positional macro parameters, keyword macro parameters, conditional macro compilation, the %do statement, SAS data step interfaces
the output delivery system (ods) introduction, creating various types of reports listing output, other destinations, html, pdf and postscript, rtf files, microsoft excel, adding style to your reports, locate existing styles, ods style= option, customize your reports, ods select; and ods exclude; other customizations, ods proclabel= ;, ods proctitle; and ods noproctitle;, advanced techniques, ods document, proc template
introduction to diagnosing and avoiding errors introduction, understanding how the SAS supervisor checks a job, understanding how SAS processes errors, distinguishing types of errors .SAS recognizes four kinds of errors, syntax errors, execution-time errors, data errors, semantic errors, diagnosing errors, diagnosing syntax errors, diagnosing data errors, using a quality control checklist
advance topics in SAS performing advanced queries using proc sql introducing macro variables, creating and using macro programs, storing macro programs, creating samples and indexes, using lookup tables to match data, modifying SAS data sets and tracking changes, introduction to efficient SAS programming


SAS Certified Solutions





SAS Global Certification program(A00-211)100% Clearance Guaranty

SAS Certified Base Programmer for SAS 9 Credential

 

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SAS Certified Base Programmer Exam :

  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 110 Mins.
  • Passing score: 70%
  • Price: $180 USD

SAS–A00-211 (Exam Sections and Blueprint)

Section #: 01 – Accessing Data
  • Use FORMATTED and LIST input to read raw data files.
  • Use INFILE statement options to control processing when reading raw data files.
  • Use various components of an INPUT statement to process raw data files
  • Combine SAS data sets.
  • Access an Excel workbook.
  • Creating Data Structures
  • Create temporary and permanent SAS data sets.
  • Create and manipulate SAS date values.
  • Export data to create standard and comma-delimited raw data files.
  • Control which observations and variables in a SAS data set are processed and output.
Section #: 02 – Managing Data
  • Investigate SAS data libraries using base SAS utility procedures.
  • Sort observations in a SAS data set.
  • Conditionally execute SAS statements.
  • Use assignment statements in the DATA step.
  • Modify variable attributes using options and statements in the DATA step.
  • Accumulate sub-totals and totals using DATA step statements.
  • Use SAS functions to manipulate character data, numeric data, and SAS date values.
  • Use SAS functions to convert character data to numeric and vice versa.
  • Process data using DO LOOPS.
  • Process data using one-dimensional SAS arrays.
  • Validate and clean data
Section #: 03 – Generating Reports
  • Static Techniques and the Test Process
  • Generate list reports using the PRINT procedure.
  • Generate summary reports and frequency tables using base SAS procedures.
  • Enhance reports through use of formats, titles, footnotes & SAS System reporting.
  • Generate reports using ODS statements.
  • Handling Errors
  • Identify and resolve programming logic errors.
  • Recognize and correct syntax errors.
  • Examine and resolve data errors.


SAS Global Certification program(A00-212)100% Clearance Guaranty

SAS Certified Advanced Programmer for SAS 9 Credential

 

advancedSAS

SAS Certified Advanced Programmer Exam :

  • Number of Questions: 60-65
  • Item Types: multiple-choice & short-answer questions
  • Exam time: 120 Mins.
  • Passing score: 65%
  • Price: $180 USD

SAS–A00-212 (Exam Sections and Blueprint)

Section #: 01 – Accessing Data Using SQL
  • Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques.
  • Access Dictionary Tables using the SQL procedure.
Section #: 02 – Macro Processing
  • Create and use user-defined and automatic macro variables within the SAS Macro Language.
  • Automate programs by defining and calling macros using the SAS Macro Language.
  • Understand the use of macro functions.
  • Use various system options that are available for macro debugging and displaying values of user-defined and automatic macro variables in the SAS log.
  • Create data-driven programs using SAS Macro Language.
  • Advanced Programming Techniques
  • Demonstrate the use of advanced data look-up techniques such as array processing, hash objects, formats, and combining/merging data.
  • Reduce computing resource requirements by controlling the space required to store SAS data sets using compression techniques, length statements, or eliminating variables and observations.
  • Develop SAS programs which incorporate data step views and use the FCMP procedure.
  • Perform effective benchmarking by using the appropriate SAS System options and interpreting the resulting resource utilization statistics.
  • Identify appropriate applications for using indexes and create them using the DATA step, the DATASETS procedure, or the SQL procedure.
  • Compare techniques to eliminate duplicate data using the DATA step, the SORT procedure, and the SQL procedure.

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SAS training Course in Noida, Greater Noida, Delhi, Ghaziabad, Gurgaon.

Eligibility & Prerequisite:

The Undergoing a SAS Training in Noida, Delhi NCR can be advantageous in more ways than one. Leverage SAS knowledge to:

  • BCA/MCA/B.Tech/B.Sc(CS/IT) Students.
  • Fresh Graduates
  • College / School Students
  • Fresh Job Seekers
  • who wants to make career in new technology

Prerequisite: computers Knowledge and any Fresh Graduates


 

 

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Regular Batch ( Mon - Fri) (45 - 60 Days)

  • Duration : 2.5 Months

Weekend Training Batch( Saturday, Sunday & Holidays) (8 Weekends)

  • Duration : 2.5 Months

Fast Track batch - (7 Days)

  • Duration : 1 week

 

 

 

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