Data Science with SAS Training

This online Data Science with SAS training helps you realize your dream of becoming a data scientist. By learning this course, you will already have all the tools needed to be an efficient data scientist. Roles of a data scientist like acquiring data, analytics, exploring and presentation can be handled well using different tools from the SAS suite.
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157 Ratings
123 Learners
35 Hours
15 Hours
Big Data
365 Days
24 / 7 Support
Intermediate
Online Classroom
Attend our Instructor Led Online Virtual Classroom
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About Course

SAS is one of the most popular analytics languages used by a majority of the organizations in the world. Data science has become the currency of business decision-making. Analyzing data to derive meaningful insights allows a business to achieve enhanced efficiency. Data Science with SAS online training program is ideal for data science professionals looking to boost their careers or managers aiming to move up the corporate ladder with the aid of better decision-making tools.

The objective of the data science with SAS online training program is to help students’ master SAS programming skills. The course will allow students to explore and visualize data more effectively. Students will gain an in-depth understanding of how to access, modify and manipulate data. In addition, they will also be able to improvise upon the data for better reporting and analytics function. Modeling and optimization techniques will form the core of the course content. By the end of the data science with SAS online training program, students will get a grip of the basics of statistics and analytics and will be in a position to apply these concepts in a business environment.

The data science with SAS online training program is suited for data scientists, analytics professionals, as well as managers in decision-making roles. Business analysts, as well as SAS professionals, can boost their earning potential by acquiring knowledge of data science with SAS. Although no prior knowledge of the language SAS, analytics or statistics is required for the course, a basic understanding of these subjects is preferred.

Mastering data science with SAS gives you a competitive edge in the crowded marketplace of programming professionals. According to a report, SAS has nearly 40,000 customers all across the world with maximum penetration in advanced analytics. There will be opportunities aplenty for a certified data scientist. Join the data science with SAS online training program and kick start your career.

Data Science with SAS Syllabus

Overview of SAS

  • Introduction and History of SAS
  • Significance of SAS software solutions in various industries
  • Demonstrate SAS Capabilities
  • Job Profile / career opportunities with SAS worldwide?

Base SAS Fundamentals

  • Explore SAS Windowing Environment
  • SAS Tasks
  • Working with SAS Syntax
  • Create and submit a SAS sample program

Data Access & Data Transformation

  • Accessing SAS Data libraries
  • Getting familiar with SAS Data set

Reading SAS data set

  • Introduction to reading data
  • Examine structure of SAS data set
  • Understanding of SAS works

Reading Excel worksheets

  • Using Excel data as input
  • Create as sample program to import and export excel sheets

Reading Raw data from External File

  • Introduction to raw data
  • Reading delimited raw data file (List Input)
  • Using standard delimited data as input
  • Using nonstandard delimited data as input
  • Reading raw data aligned to columns (Fixed or column input)
  • Reading raw data with special instructions (Formatted input)

Writing to an External file

  • Write data values from SAS data set to an external file

Data transformations (Data step processing)

  • Create multiple output datasets from single SAS dataset
  • Writing observations to one or more SAS datasets
  • Controlling which observations and variables to be written to output data

Creating subset of observations using

  • Where condition
  • Conditional processing using: IF statements

Processing Data Iteratively

  • Iterative DO loop processing with END statement
  • DO WHILE & DO UNTIL Statement
  • SAS Array statement

Summarizing data

  • Creating and Accumulating total variable (Retain)
  • Using Assignment statement
  • Accumulating totals for a group of data (BY group)

Manipulating Data

  • Sorting SAS data sets
  • Manipulating SAS data values
  • Presentation of user defined values /data/currency values using FORMAT procedure
  • SAS functions to manipulate char and num data
  • Convert data type form char-to num and num-to-char
  • SAS variables lists/ SAS variables lists range
  • Debugging SAS program
  • Accessing observations by creating index

Restructuring a SAS data set

  • Rotating with the data step
  • Using the transpose procedure

Combining SAS data sets

  • Concatenation
  • Interleaving
  • One to one reading
  • One to one merging (with non-matching)
  • Match merging (Merging types with IN=option)

SAS Access & SAS Connect

  • Validating and cleaning data
  • Detect and correct syntax errors
  • Examining data errors

Analysis & Presentation

SAS/REPORTS SAS/GRAPH

SAS/STATS SAS/ODS

Producing detailed /Summary Reports

  • Freq Report
  • Means Report
  • Tabulate Report
  • Proc report
  • Summary report
  • Univariate report
  • Contents report
  • Print report
  • Compare proc
  • Copy proc
  • Datasets proc
  • Proc append
  • Proc delete

Generating Statistical Reports using

  • Regression proc
  • Uni/Multivariate proc
  • Anova proc

Generating Graphical reports using

  • Producing Bar and Pie charts (GCHART Proc)
  • Producing plots (GPLOT Proc)
  • Presenting Output Report result in:
  • PDF
  • Text files
  • Excel
  • HTML Files

SAS/SQL Programming

  • Introduction and overview to SQL procedure
  • Proc SQL and Data step comparisons

Basics Queries

  • Proc SQL syntax overview
  • Specifying columns/creating new columns
  • Specifying rows/subsetting on rows
  • Ordering or sorting data
  • Formatting output results
  • Presenting detailed data
  • Presenting summarized data

Sub Queries

  • Non correlated sub queries
  • Correlated sub queries

SQL Joins (Combining SAS data sets using SQL Joins)

  • Introduction to SQL joins
  • Types of joins with examples
  • Simple to complex joins
  • Choosing between data step merges and SQL joins

SET Operators

  • Introduction to set operations
  • Except/Intersect/Union/Outer union operator

Additional SQL Procedures features

  • Creating views with SQL procedure
  • Dictionary tables and views
  • Interfacing Proc SQL with the macro programming language
  • Creating and maintaining indexes
  • SQL Pass-Through facility

SAS Macro Language

  • Introduction to macro facility
  • Generate SAS code using macros
  • Macro compilation
  • Creating macro variables
  • Scope or macro variables
  • Global/Local Macro variables
  • User defined /Automatic Macro variables
  • Macro variables references
  • Combing macro variables references with text
  • Macro functions
  • Quoting (Masking)
  • Creating macro variables in Data step (Call SYMPUT Routine)
  • Obtaining variable value during macro execution (SYMGET function)
  • Creating macro variables during PROC SQL execution (INTO Clause)
  • Creating a delimited list of values
  • Macro parameters
  • Strong Macro using Autocall Features
  • Permanently storing and using stored compiled macro program
  • SAS Macro debugging options to track problems

Basics Statistics

  • Standard deviation
  • Correlation Coefficients
  • Outliers
  • Linear regressions
  • Clustering
  • Chi Square

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
21 Aug 2017 18 Sep 2017 (09:30 PM - 11:00 PM) Mon-Fri
21 Aug 2017 19 Sep 2017 (11:00 PM - 12:30 AM) Mon-Fri
22 Aug 2017 19 Sep 2017 (09:30 AM - 11:00 AM) Tue-Sat
22 Aug 2017 19 Sep 2017 (11:00 AM - 12:30 PM) Tue-Sat
25 Aug 2017 23 Sep 2017 (09:30 PM - 12:30 AM) Fri,Sat
26 Aug 2017 23 Sep 2017 (09:30 AM - 12:30 PM) Sat,Sun
28 Aug 2017 25 Sep 2017 (09:30 PM - 11:00 PM) Mon-Fri
28 Aug 2017 26 Sep 2017 (11:00 PM - 12:30 AM) Mon-Fri
29 Aug 2017 26 Sep 2017 (09:30 AM - 11:00 AM) Tue-Sat
29 Aug 2017 26 Sep 2017 (11:00 AM - 12:30 PM) Tue-Sat

Data Science with SAS Certification

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from GangBoard) will verify and issue Data Science with SAS Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

Basic Hard ware requirement is useful to install the data science Software

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

+91 - 755 008 0081
+91 - 755 008 0082

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GangBoard 5 Star Rating: Recommended 5 out of 5 based on 157 ratings.