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Live Online Training

  • 56 hours of instructor led live training on weekends
  • Hand-on practice on 10 real life case studies
  • Access to LEAP - our analytics learning platform
  • Personal attention from faculty
  • Performance evaluation
  • Internship opportunity to work on dash-boarding & insight generation projects
$599.00 USD

Self Paced Course

  • 56 hours of self learning
  • Practice exercises and assignments to enhance skills
  • Faculties from IIT/IIMs with SASich industry experience
  • Full access to video lectures for self paced learning
  • 100% money-back guarantee
  • Placement assistance
$299.00 USD

Classroom Course

  • Weekend Exam Prep Training Classes
  • 180 days of access to high-quality Self-paced learning content
  • Globally recognized industry experts Trainers
  • Mentor-ship from Industry Experts
 

Course Advisor

Jaydeep
Jaydeep

 

Jaydeep has 11+ years of experience in building analytical solutions & digital strategy for large organization. He has helped over 30 global organizations transform their business using analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has rich experience of conducting analytics training for over 4000 hours in the last 5 years. He has conducted classroom training and online training in India & abroad, where he has consistently recorded very high training feedback ratings. He is the winner of Dunnhumby India Hackathon & several other international data science competition.

Course Benefits

  • 56 Hours of instructor led live training on weekends
  • Hand-on practice on 10 real life case studies
  • Access to LEAP - our analytics learning platform
  • Personal attention from faculty
  • Performance evaluation
  • Placement assistance
  • 100 Hours of self learning
  • Practice exercises and assignments to enhance skills
  • Faculties from IIT/IIMs with SASich industry experience
  • Full access to video lectures for self paced learning
  • 100% moneyback guarantee
  • Internship opportunity to work on dashboarding & insight generation projects

COURSE OVERVIEW

ScholarsPro assures you to provide a high-end learning environment, where you will learn the data science techniques along with the smart usage of SAS technology to resolve the industry issues under the supervision of experienced and expert trainers of the industry. During the training you will strengthen the fundamental concepts of SAS; through the hands-on sessions you would learn the real-time implementation of the SAS tools such as Base SAS and SAS Studio. Other than this, the training throws light on SAS programming as well, which imparts intelligence on association techniques, implementation of the predictive modeling, forecasting, etc.
 

 

Through the data science with the SAS certification program you will get to know the how to combine the datasets and make modification in it. Understanding of the role of the GUI along with importing and exporting the data and various other aspects that can be taken care with the help of SAS techniques are all included in this course.
 
With the help of profound training techniques you would be able resolve the analytical issues using SAS and build a realistic industry analytical solution.
 
Course duration: 156 hours
Mode: Classroom / Online Instructor Led

Who should join
Data Science with SAS Certification Training Course?

Pre-requisites

Is this course for you?

You should take this course if you are a:
  • Student (UG/PG) and want to build data science skills to become data scientist
  • IT professional looking for a career switch to data science and analytics
  • Job seeker who wants to start a career in data science
  • Analtyics/Data Science professional who wants to learn advanced modeling techniques
  • Enthusiast who has genuine interest in data science and wants to grow his skills
What are the pre-requisites of the course?
 
There are no pre-requisites for this course. The course starts from scratch which makes it easy to understand for everyone and provides in-depth knowledge.
 
CERTIFICATION
 
At the end of the course you will be entitled to Scholars Pro 'Data Science with SAS' Certificate, provided you fulfil the following terms:
  • Completion and submission of at least 5 projects/case studies
  • Attend at least 85% of the sessions
  • Clear the final online test by minimum 60%

 

Course Contents

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Introduction to Analytics & SAS

Introduction to business analytics, data science & machine learning. SAS in advanced analytics, SAS software installation. Introduction to SAS, GUI. Different components of SAS language. All SAS programming windows. Concept of SAS Libraries and Creating Libraries. Variable Attributes - (Name, Type, Length, Format, In format, Label)

Data Import/ Export & accessing SAS datasets
Data Step and Proc Step. Data step execution. Concept of PDV. Proc Import. Proc Export. Column Input and List Input and Formatted methods. Delimiters, Reading missing and non standard values. Creating raw data files and put statement. Import Wizard. Proc Import / Delimited text files. Proc Export / Exporting Data from SAS. Datalines / Cards. Formats / Informat. Atypical importing cases (mixing different style of inputs).
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
 
Data management and manipulation
Data Exploration: SAS Operators and Operands. Conditional Statements (Where, If, If then Else, If then Do and select when). Difference between WHERE and IF statements and limitation of WHERE statements. SAS Labels, Commenting. SAS System Options (OBS, FSTOBS, NOOBS etc…). 
Data manipulation: Loops is SAS. Nesting Do loops. Do While and Do Until Statement. Data aggregation and summary. Concatenation. Interleaving. One To One Merging. Match Merging. 
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS 
 
SAS functions
General form of SAS Functions. Arithmetic Functions. Date and Time Functions. Text Manipulation Functions. Nested Functions 
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
 
Data analysis and reporting
Proc Freq, Proc Format, Proc Means, Proc Summary, Proc tabulate, Proc report. Proc Options. Proc Univariate. Proc contents. Proc Sort. Proc Append. Proc Transpose. Proc copy. Proc delete. 
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
 

 

Data analysis with Proc SQL
Introduction to Proc SQL. Basics of General SQL language. Creating table and Inserting Values. Retrieve & Summarize data. Group, Sort & Filter. Using Joins (Full, Inner, Left, Right and Outer). Reporting and summary analysis. Concept of Indexes and creating Indexes (simple and composite). Connecting SAS to external Databases. Implicit and Explicit pass through methods
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
 
SAS Macros
Global and Local Variables. Macro Parameters and Variables. Different types of Macro Creation. Defining and calling a macro. Using call Symput and Symget. Macros options (mprint symbolgen mlogic merror serror)
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
Data Visualization fundamentals
Plot function. Changing parameters. Drawing basic charts. Adding chart elements.
Case Study = Case study on plotting of stock market data
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = SAS
Descriptive statistics
Measures of central tendency. Measures of dispersion. Range. Skewness. Interpretation of histograms. Research methodologies. 
Case Study = None
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = Excel
Inferential statistics
Basics of probability theory. Bayes Theorem. Probability distribution functions - Uniform, Bernoulli, Binomial, Normal, Log Normal, T. Continous probability distributions. Hypothesis testing - 1 Sided tests, 2-Sided tests. F test. T test. Chi Sq Test. ANOVA. 
Case Study = Application of inferential tests
Assignment = Practice Excercises + Doubt Clearing + Answers
Tool = Excel & SAS
 
Linear Regression
Introduction to linear regression technique & its uses. Details of ordinary least squares estimation technique. Modeling steps. Variable handling. Model statistics interpretation. Validation of linear regression assumptions. Metrics to measure model performance.
Case Study = Case study on predicting house prices using real data.
Assignment = Case study on insurance claims using real data.
Tool = SAS
 
Logistic Regression
Introduction to logistic regression technique & its uses. Maximum likelihood estimation technique. Modeling steps. Dependant variable definition. Variable handling. Weight of Evidence & Information Value. Variable reduction. Model statistics intepretation. Metrics to measure model performance.
Case Study = Case study on predicting churn for a large telecom operator using real data.
Assignment = Case study on predicting customer cross sell for a large retailer using real data.
Tool = SAS
 
Time series forecasting
Learn basic concepts of time series modeling. Basic techniques for forecasting. Smoothing techniques. Decomposition. Understanding the fundamentals of ARIMA. ARIMA modeling, model estimation & interpretation. Forecasting with SASegression and time series data. ARIMAX or dynamic regression models to build forecasting models with multiple regressors.
Case Study = Case study on predicting sales for a large european retailer using real data.
Assignment = Case study on predicting call volumes for a call centre.
Tool = SAS
 
Clustering
Introduction to clustering. Types of clustering & their uses. K-Means clustering. Hierarchical clustering.
Case Study = Case study on retail customer segmentation using K Means clustering techniques on real data.
Assignment = Case study on product categorization using hierarchical clustering on real data.
Tool = SAS
 

FAQs

What is the mode of this training course?

Classroom & Online instructor led. Classroom sessions are held at multiple training centres located in Delhi-NCR region. Live online sessions are conducted through our "Virtual Classroom". This will allow you to attend the course remotely from anywhere through your desktop/laptop/tablet/smartphone. Video recording of each session is provided at the end of live session.

Do I need to have computer programming background to take the course?

No, you don’t need to have a programming background to learn analytics. The program has been designed in a way that it starts from scratch and makes it easier to learn for everyone.

What if I miss a class?

You can attend the missed session, in any other live batch. You can also use the video recording of the session you missed.

What kind of placement assistance is offered by Scholars Pro?

We are committed to getting you placed. All our courses include - Real life projects + Internship + Certificate + Interview QnA + Resume building & sharing + Job search guidance + Interview call assistance.

What if I still have doubts after attending a live session?

You can retake a class as many times as you wish across multiple batches. Also, we conduct separate doubt clearing sessions to help our students. We make sure that you understand all the concepts and are able to build solutions.

What if I want to cancel my enrollment post registration? Will I get a refund?

Yes, we have a 100% money back policy which allows you to cancel your enrollment after the first two classes (before third class). If you are not satisfied from the program, all your money will be refunded back to you.

What are system requirements?

You will require a laptop or workstation with a minimum 2 GB RAM & i3 processor (or equivalent) to practice & submit assignments. No constraint on OS.


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Data Science with SAS Certification Training Course
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