Data Analyst realtime online training, job and interview support, Corporate training @Apex Online IT Training


data Analytics for the most part involves collection data from completely different sources, munge it in an exceedingly approach that it becomes out there to be consumed by analysts and at last deliver data products helpful to the clients. the method of changing giant amounts of unstructured data, retrieved from completely different sources to a data product helpful for organizations forms the core of data Analytics.


FOR FREE DEMO contact :
Email : raj@apex-online-it-training.com
Phone/WhatsApp : +91-(850) 012-2107
USA Number : 214-628-3894
Gtalk : raavi.sriraja@gmail.com
Blog: https://best-online-it-training-institute..com


data Analyst Interview queries and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments are going to be provided

data Analyst Agenda/Syllabus
(we can customise the course outline as per your requirements)


BASE SAS
 Introduction To SAS System & Architecture
 Features
 Variables & SAS Syntax Rules
 SAS Data Sets
 Data Set Options
 If – Then Else Statement
 Where Statement
 Creating & Redefining Variables
 Reading Raw Data
 Infile Statement With Options
 Multiple Observations and Multiple Datasets.
 Input Styles
 SAS Functions
 Do Loops
 Leave and Continue Statements
 Output Statement & Put Statement


BASE SAS PROCEDURES
 Proc Sort
 Proc Print
 Proc Means
 Proc Freq
 Proc Plot
 Proc Chart
 Proc Compare
 Proc Copy
 Proc Summary
 Proc Append
 Proc Datasets
 Proc Contents
 Proc Delete
 Proc Format
 Proc Printto


SAS/REPORTS
 Frequency Report
 One-Way Frequency Report
 Cross Tabular Frequency Report
 Summary Statistics
 Tabulate Procedure


SAS/ODS
 Creating Rtf File
 Creating Html File
 Creating Pdf File
 Creating Xml File


SAS/GRAPH
 Gchart Procedure
 Vertical, Horizontal, Pie
 Donut
 Group,Subgroups
 Gplot Procedure
 Mutliple Plots & Overlay
 Symbol Statement
 Title and Footnote Statements
 Goptions


SAS/MACROS
 Macro Concepts
 Macros And Macro Variables
 Creating Macro Variables
 Using Macro Variables
 Creating Modular Code With Macros
 Invoking A Macro
 Adding Parameters To Macros
 Macros With Conditional Logic
 Using Various Procedures In Macros
 Automatic Variables
 Macro Functions
 Including External Macros


SAS/STAT
 Proc Univariate
 Proc Corr
 Proc Reg
 Proc Anova


PYTHON
 Introduction to Python
 Features of Python
 Writing Our First Python Program
 Executing a Python Program
 Getting Help in Python
 Reopening the Python Program in IDE
 Datatypes in Python
 Output statements
 Various formats of The print()
 Input Statements
 Command Line Arguments
 If Statement
 If … else Statement
 If … elif … else Statement
 While Loop
 For Loop
 Infinite Loops
 Nested Loops
 Else Suite
 Arrays in Python
 Strings and Characters
 Functions
 Lists and Tuples
 Dictionaries
 Oops Concepts
 Classes and Objects
 Encapsulation
 Abstraction
 Inheritance
 Polymorphism
 Files in Python
 Python’s Database Connectivity


GETTING STARTED R
 R Basics
 Variables and Class
 Vectors, List, Factors, Matrix
 Data Frames
 Missing Values
 Data Reading and Writing data
 Data Visualization using GGPLOT
 If-Else Conditions
 Function
 Loops
 Data manipulation


MACHINE LEARNING
 Introduction to Machine Learning
 Types Of Machine Learning
 Real time use cases in Machine Learning
 Types of Algorithms Types of Problems –
 Regression
 Classification
 Clustering
 Regression
 Linear Regression
 Logistic Regression
 Classification
 Logistic Regression
 Decision Tree,Random Forest
 KNN,SVM