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SAS & Tableau Certification Practical Training Course

4 Star Rating: Very Good4.60 out of 5 based on 250 ratings.

SAS Base & Advance + Project + Interview Prep
SAS informats and formats | SAS Functions
Introduction to diagnosing and avoiding errors
Tableau Training Overview
Tableau Course Content
Job-Readiness

 

 

 

 

 

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Data Analytics refers to the process of gathering relevant information from different sources and analyzing it in order to transform the information in a meaningful manner so that the management can use the information for business decision making. Data Analytics is a process of extracting, acknowledging and evaluating information which includes business patterns, latest trends and customer behavior which are dynamic in nature and needs to be analyzed for business. It is important for every business organization to perform data analysis so that they can increase their productivity and provide better customer satisfaction. There are various tools which are used for performing Data Analytics and SAS and tableau are considered the most important and highly popular Data Analytics tools available in the market. SAS is a statistical analysis system which is particularly used for performing a statistical analysis where the data analyst collects, store, sort, retrieve, and analyze the information for developing accurate reports using the tool. On the other hand, the tableau is a powerful and extremely useful business intelligence tool which can help the business organization to perform data visualization where the data is transformed in the form of charts and graphs along with tables that help the management to better understand the information and take better decisions. Anyone who is willing to pursue a career in data analysis should have profound knowledge and expertise in both the tools. Talent Magnifier is a prominent and highly recognized training institute in Delhi NCR that provide the best SAS and tableau training course to the Aspiring candidates at a very reasonable price. The training program is designed by industry experts while considering the current requirements of the industry. The SAS and tableau training is targeted towards college graduates and current working professionals who are looking to enter into the Data Analytics field or enhance the current expertise in the data analysis Tools and techniques to grow their career. The training is conductor by the very best corporate trainers with over 10 years of experience in the relevant field of Data Analytics and guides the students towards success within a short span of time. The SAS and tableau training course in Delhi NCR covers all the major aspects of both the Data Analytics tools which include basic and advanced SAS, group processing, SAS procedures, Proc SQL, SAS macros, output delivery system, job readiness, basic and advanced tableau, data warehousing, tableau components and extensions, data blending, aggregation and disaggregation, charts and tables and much more. After going through the training course, participants become a job ready professional who can fulfill the requirements of business organizations in Data Analytics and help them increase their productivity and performance. Therefore, if you are good with numbers and figures and have graduated in any field, then you can attend SAS and tableau training course provided by Talent Magnifier in Delhi NCR as soon as possible.

PROGRAMME HIGHLIGHTS

Valid Certification

When the course is completed you will get a valid certification that will help you enter or progress in the corporate world.

Seasoned Faculty Members

Our trainers are industry professionals who have deep expertise in imparting training and working in the corporate world.

100% Placement Assistance

We ensure that you get many opportunities to give interviews to ensure that you get a good job. Our placement assistance team is highly efficient.

Lab Facility

You get the opportunity to work in a real lab where a few technical tests would help you learn better.

Awesome Workshops

Real time projects help you learn new concepts better and top class case studies let you learn from real-life examples.

Administrative Support

A skilled admin team helps you to plan your schedule better and get rid of all the doubts. They also offer support during admission and placement processes.

The high quality SAS and tableau training in Delhi NCR is a dedicated program which will allow the Aspiring candidates to become an expert in the fields of Data Analytics and pursue a promising career after completion of the training course. The entire training is divided into different modules with weekdays and weekend classes. The training will help the participant gain excess knowledge and skills in Data Analytics Tools and techniques in order to become a job ready and highly demanding professional within a short span of time. They will learn comprehensive skills which include effective decision making, predicting current trends and behaviour of the customers, analyzing and interpreting information in a meaningful manner, strong analytical skills, and much more using real time practical training conducted at highly equipped and modern lab facility to provide in depth and valuable expertise in data analysis techniques. Apart from that, the participants have to work with various live projects and assignments to get hands on experience on Data Analytics using SAS and tableau tool so that they would not require any additional training after getting placed at an organisation for the job of data analyst.

Upon completion of the SAS and tableau training course in Delhi, the applicants will gain relevant experience in business data analysis, segmentation techniques, data model techniques, data mining and database design development through which they will be able to organize and analyze a large amount of information efficiently. They will learn to interpret and analyse information using statistical analysis and develop reports, creating and implementing databases, gathering information from primary and secondary sources, data Analytics and data collection system, increasing the efficiency and quality of the information, filtering the data by reviewing reports and performance indicators to identify any issues and much more. The course curriculum of the training course is highly updated and of high quality that would enable the participant to become a job specific professional and clear any job interview at MNC for the role of data analyst and data scientist. With the help of workshop and handouts, the applicants will get basic and advanced knowledge along with working understanding of SAS and tableau data Analytics tool. After completion of the training, the participants will receive a valid certification in Data Analytics that would prove their skills to the recruiter who would give more attention to them over other candidates during the interview. Apart from that, guaranteed job placement assistance will also be provided to the participants with mock interviews and personality development training to help them easily clear a job interview. Therefore anyone looking to pursue a career as a data analyst can attend our highly reliable and quality SAS and tableau training course in Delhi NCR.

Both SAS and tableau are considered one of the most important and highly popular Data Analytics tools. Over the last few years, there has been an increase of data due to advancement in the technology and this information can be extremely beneficial for any business organization. Companies these days needs to receive information such as customer behaviour and latest trends in the business industry so that they can make any changes and take better decisions to increase their productivity and performance. For this, data Analytics tools can be extremely beneficial, and therefore, it is necessary to hire a professional who is an expert in SAS and Tableau tools. Some of the various reasons why you should learn SAS and tableau are as below:

  1. There is a continuous generation of information through various sources and it is expected to increase by 50%. As of 2020. Therefore the demand for professional Data Analytics with extensive knowledge in SAS and tableau are highly in demand.
  2. As per Gartner, it is expected that there will be three hundred percent increase in the job related to Data Analytics as of 2020, which means increased requirements for SAS and tableau professionals in the market. This will certainly offer the candidate better job security.
  3. After acquiring skills in SAS and tableau, you will not be restricted to any one industry as the requirement for Data Analytics can help you acquire job opportunity at various fields such as real estate, e-commerce, telecommunication, retail and much more.
  4. One of the best reason to learn SAS and tableau Data Analytics tool is that you will also receive a higher pay scale as compared to other professionals in the same field. You will get to receive an average income of 4.5 lakh per annum as of 2018 and with experience, it can increase up to 10 lacs per annum.
  5. There are immense growth opportunities in the Data Analytics field as you are going to work with several other professionals through then you can learn a great deal in different other fields which can allow you to grow your career in the future.

These are more than enough reasons for you to learn SAS and tableau Data Analytics tool and pursue a career in the field. For more information regarding the course or our Institute, you can visit our centre in Delhi.

The Sas & Tableau training in Delhi NCR is an intelligently designed and dedicated training course that have the highest quality course content that would meet the industry requirements. Below are provided some of the major highlights of the course.

  • Qualified and experienced trainers
  • Real-time practical training
  • Projects and assignments
  • Workshops in handouts
  • Brilliant administration support
  • Free demo class
  • Weekdays in weekend batch timings
  • Instructor LED classroom

Job-Readiness

  • Interview Preparation - HR
  • Interview Preparation - HR and Domain
  • Mock Interviews - HR and Domain
  • Mock Interviews - External Industry Experts

The entire course can easily be completed within one month based on the class preference and the participants will be provided with guaranteed job placement assistance with a valid certification.

Course Details

SAS & Tableau Practical Certification Training Course

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
  • no interactive 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
  • SAS help library
  • SAS user 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
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
SAS informats and formats
SAS functions
SAS functions
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
By - group processing
  • definitions for by-group processing
  • by-group processing
  • by value
  • by group
  • 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
  • rtf files
  • microsoft excel
  • customize your reports
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
  • What is Tableau?
  • Objectives of the Course
  • Who should go for this course
  • Tableau Course Duration
  • Introduction to Data Where housing
  • Business Intelligence
  • Tableau Introduction
  • Tableau Components
  • Tableau Extensions
  • View Sections
  • Dash Board Components
  • Data Connection in Tableau Interface
  • Data Joins in Tableau
  • Data Blending in Tableau
  • Graphs/Charts/Bars
  • Maps
  • Filters and Types
  • Creating and Using Parameters
  • Groups and Sets
  • Calculated Fields
  • Trend Analysis
  • Fore Casting and Reference Lines
  • Annotations
  • Aggregation and Disaggregation
  • Page-shelf or Automated Maps
  • Drop Lines
  • Actions in Tableau
  • Hierarchy in Tableau
  • Tableau Advanced Charts – User defined Charts (IMP)
  • Interview Preparation - HR
  • Interview Preparation - HR and Domain
  • Mock Interviews - HR and Domain
  • Mock Interviews - External Industry Experts

Course Time & Duration Details

Course ModulesDuration (Hours)Duration (Weekend)
(Saturday- Sunday)
Duration (Weekdays)
(Tuesday - Friday)
SAS Base & Advance40 - 45 Hours2 - 2.5 Months1 - 1.5 Months
Tableau30 - 35 Hours1.5 - 2 Months1 Month
SAS & Tableau70 - 80 Hours3 - 3.5 Months2 - 3 Months

Learners Reviews & Placement

FAQ

If you love working with numbers and figures, then Data Analytics could be the best possible job for you and for that you will have to learn SAS and tableau tools.
Data Analytics is considered one of the fastest growing fields in the industry which is expected to increase by 70% in the upcoming years. The job opportunities will also increase drastically in the few years.
If you miss any class, then our administration will schedule a backup class for you which will be subject to the availability of the trainer.
Yes, all the participants receive real time practical classes with live project and assignments to get a better understanding of Data Analytics tools.
Yes, participants can choose weekdays and weekends timings as per their work schedule.
The candidate is required to have a graduation degree in any field in order to attend the training. Having some sort of knowledge in data programming can be beneficial but not mandatory.