Data Science with SAS is an advanced technology in the world of data analytics.
The training on Data Science with SAS would help the candidates to achieve their career goals by making them understand what PROC MEANS, PROC FREQ, PROC UNIVARIATE, and PROC CORP.
We teach these along with data analytics concepts such as clustering, decision tree, and regression and their implementation in their respective organizations.
Moreover, fresher graduates would get a chance to learn how to handle real-time issues and resolve them with the help of advanced SAS tools.
Following are some of the highlights that the aspirants would learn from the training:
- Learn how to use the techniques for amending and merging the datasets like concatenation, interleaving, one-to-one merging, and reading. The candidates would get a chance to learn all about the SAS functions and procedures for data manipulation.
- Learn the data exploration techniques using SAS and use them later in their project
- Learn the OPT MODEL procedure and make use of it
- Developing an understanding of formulating and model and solve the data optimization by using SAS.
- Understanding the types of Macro variables, SQL clauses, Macro function SYMBOLGEN System options, and the %Macro statement
- Understanding the role of GUI, Library statements, SAS, importing and exporting of data and variable attributes
- Learn what is hypothesis testing, statistics, and advanced statistical techniques. Learn How to implement the techniques such as linear regression, Clustering, logistic regression, and decision trees.
Target Audience
- The Analytics professionals, who are willing to work with SAS
- IT professionals looking forward to switching their career in the fields of analytics
- The software developers, who are interested in making and continuing their career in analytics
Prerequisites
There is no prerequisite for this course, anyone willing to make their career in data analytics and want to gain expertise on the data science tools should join this course.
Why Should I choose Lara Online Training?
- We provide Very in-depth course material with Real Time Scenarios for each topic with its Solutions for, Data Science With SAS Online Training.
- At Lara, we provide case studies in real-time applications with a professional explanation.
- We do Schedule the sessions based upon your comfort by our Highly Qualified Trainers and Real-time Experts.
- Class recordings are available immediately after the session for future reference.
- We do Normal Track, Fast Track, and Weekend Batches for Data Science With SAS Online Training.
- We assist you with cost Effective and Flexible Payment Schemes.
- At Lara, we provide Placement Assistance.
- We provide Assessment and Mock Interviews
Analytics Overview
1
An Introduction
2
An Introduction to the Business Analytics
3
The Types of Analytics
4
The Areas of Analytics
5
About Analytical Tools
6
About Analytical Techniques
Introduction to SAS
1
An Overview of the SAS
2
The Navigation in the SAS Console
3
About the SAS Language Input Files
4
What is DATA Step?
5
The PROC Step and DATA Step - Example
6
All About DATA Step Processing
7
The SAS Libraries
Combining and Modifying Datasets
1
Necessity of Combining or Modifying the Data
2
Concatenating the Datasets
3
About Interleaving Method
4
What is Data Manipulation?
5
Modifying the Variable Attributes
PROC SQL
1
What is PROC SQL?
2
How to Retrieve Data from a Table?
3
How to Select Columns in a Table?
4
Retrieving the Data from Multiple Tables
5
Selecting the Data from Multiple Tables
6
Concatenating Query Results
SAS Macros
1
Need for SAS Macros
2
Macro Functions
3
SQL Clauses for Macros
4
The % Macro Statement
5
The Conditional Statement
Basics of Statistics
1
Introduction to the Statistics
2
The Statistical Terms
3
Procedures in the SAS for Descriptive Statistics
4
About Hypothesis Testing
5
About Variable Types
6
The Hypothesis Testing - Process
7
The Parametric and Non - parametric Tests
8
What are Parametric Tests?
9
What are Non - parametric Tests?
10
Parametric Tests – the Advantages and the Disadvantages
Statistical Procedures
1
The Statistical Procedures
2
What do PROC Means?
3
What is PROC FREQ?
4
About PROC UNIVARIATE
5
About PROC CORR
6
About PROC CORR Options
7
About PROC REG
8
The PROC REG Options
9
The PROC ANOVA
Data Exploration
1
Data Exploration: An Overview
2
What is Data Preparation?
3
The General Comments and Observations on Data Cleaning
4
Data Type Conversion
5
Character Functions
6
What is SCAN Function?
7
About Date/Time Functions
8
Missing Value Treatment
9
Various Functions to Handle Missing Value
10
Data Summarization
Advanced Statistics
1
An Introduction to the Advanced Statistics
2
Introduction to the Cluster
3
The Clustering Methodologies
4
What is K Means Clustering?
5
About the Decision Tree
6
The Regression
7
The Logistic Regression
Working with Time Series Data
1
An Introduction to the Working with Time Series Data
2
Need for Time Series Analysis
3
About the Time Series Analysis — Options
4
Reading Date and Datetime Values
5
What is the White Noise Process?
6
The Stationarity of a Time Series
7
The Stationarity of a Time Series
Designing Optimization Models
1
Introduction to the Designing Optimization Models
2
About the Need for the Optimization
3
About Optimization Problems
4
What is PROC OPTMODEL?
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It was great working and learning experience with krish on scripting issue. Communication with Management is very responsive and helpful and special thanks to krish for his patience.
sujith B
2023-05-18
Trainer explained well.completed all topics and helped in technical issues
Laxmi M
2023-01-29
Gulshan who is the trainer is very good at giving insights of the RPA and he is good on clearing all my doubts. The institute also helped me find the right trainer
Srivalli Anand Makkapati
2023-01-27
Thank you so much, Mr. Kishore, for the online IT training. That was a great experience with you. I have learned a lot from you. You are a very knowledgeable person and helpful in answering questions. I appreciate your replies to me promptly through text messages or email. I understand you overall.
Asif Jafri
2023-01-09
The explanation is excellent. Trainer explained with live examples and secenarios
Eswar vakada
2023-01-09
Excellent experience. Kishore is a valuable resource, Lara online training should be proud of him.
Nasir Javed
2023-01-09
that was a best practice and I have learned alot new things.
thank you kishore
Muscle Passion
2023-01-09
Thank you so much for give us such a great training I learn a lot and it adds value to my knowledge If got a job I should be able to do it without any trouble thanks.
Mohammad Zahid_Qureshi
2023-01-09
