Data-Analytics-Online-Training

Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business. The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big 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.blogspot.com


Big Data Analytics Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided

Big Data Analytics Agenda/Syllabus

(we can customize the course Curriculum as per your requirements)


DATA ANALYTICS Course Content


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