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Data Scientist Online Training

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What you will get:

  • 50 Hrs Training
  • Recorded Sessions
  • Training Certificate
  • Experienced & Certified Consultant
$ 1809    $ 650

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Training Schedule
Start Date End Date No. of Hrs Time (IST) Day  
28 May 2022 09 Jul 2022 50 06:00 PM - 10:00 PM Sat, Sun
11 Jun 2022 23 Jul 2022 50 06:00 PM - 10:00 PM Sat, Sun
25 Jun 2022 06 Aug 2022 50 06:00 PM - 10:00 PM Sat, Sun
09 Jul 2022 20 Aug 2022 50 06:00 PM - 10:00 PM Sat, Sun

Schedule does not suit you, contact us now!    |    Want to take one-on-one training, contact us now!

Course Overview

The Data Scientist online training offered by Multisoft Virtual Academy is the concoction of five courses that insights the candidates on all the essential aspects that is considered as the indispensable for a Data Scientist to gain the expertise on the subject matter.

The course modules enable vast knowledge on Data Science With SAS Training (SAS Programmer), Data Science Certification Training (Data Science with R), Big Data Hadoop And Spark Developer and Data Science with Python from the basics to the advanced level. However, the aspirants learn better implementation of Data Manipulation Techniques using R programming, processing scenarios can be handled by Spark by combining the technologies such as: SQL, streaming and complex analytics together seamlessly in the same application, Processing complicated data with the help of Pig use cases, etc.  

Course Contents

Course ContentDetailed Course Topics

1. Data Science With SAS Training (SAS Programmer)

SAS® Base

  • SAS® Programming 1: Essentials
  • Introduction to SAS® foundation
  • Introduction to SAS® programs
  • Accessing SAS® Data
  • Producing Detail Reports
  • Formatting Data Values
  • Reading SAS® Data Sets
  • Reading Spreadsheet and Database Data
  • Reading Spreadsheet and Database Data
  • Manipulating Data
  • Combining SAS®Data Sets
  • Creating Summary Reports

SAS® Programming 2: Data Manipulation Techniques

  • Introduction
  • Controlling Input and Output
  • Summarizing Data
  • Reading Raw Data Files
  • Data Transformations
  • Debugging Techniques
  • Processing Data Iteratively
  • Restructuring a Data Set
  • Combining SAS® Data Sets

SAS® Advanced

SAS® SQL 1: Essentials

  • Introduction
  • Displaying Query Results
  • SQL Joins
  • Subqueries
  • Set Operators
  • Creating Tables and Views
  • Advanced PROC SQL Features

SAS® Macro Language 1:Essentials

  • Introduction
  • Macro Variables
  • Macro Definitions
  • DATA Step and SQL Interfaces
  • Macro Programs

2. Data Science Certification Training - R Programming

Essential to R programming

  • An Introduction to R
  • Introduction to the R language
  • Programming statistical graphics
  • Programming with R
  • Simulation
  • Computational linear algebra
  • Numerical optimization

Data Manipulation Techniques using R programming

  • Data in R
  • Reading and Writing Data
  • R and Databases
  • Dates
  • Factors
  • Subscripting
  • Character Manipulation
  • Data Aggregation
  • Reshaping Data

Statistical Applications using R programming

  • Basics
  • The R environment
  • Probability and distributions
  • Descriptive statistics and graphics
  • One- and two-sample tests
  • Regression and correlation
  • Analysis of variance and the Kruskal–Wallis test
  • Tabular data
  • Power and the computation of sample size
  • Advanced data handling
  • Multiple Regression
  • Linear models
  • Logistic regression
  • Survival analysis
  • Rates and Poisson regression
  • Nonlinear curve fitting

3. Big Data Hadoop And Spark Developer

Big Data Hadoop

  • Introduction
  • Hadoop Fundamentals
  • Introduction to Pig
  • Basic Data Analysis with Pig
  • Processing Complex Data with Pig
  • Multi-Dataset Operations with Pig
  • Extending Pig
  • Pig Troubleshooting and Optimization
  • Introduction to Hive
  • Relational Data Analysis with Hive
  • Hive Data Management
  • Text Processing with Hive
  • Hive Optimization
  • Extending Hive
  • Introduction to Impala

Apache Spark

  • An Introduction to Spark - Getting started
    • About Resilient Distributed Dataset and DataFrames
    • The Spark application programming
    • An Introduction to Spark libraries
    • AboutSpark configuration, monitoring and tuning

4 Business Analytics with Excel (with VBA)

  • Macro Introduction
  • Learn About Programming
  • Introduction to Flow Chart & Diagram
  • Getting Starte with VBA
  • VBA Excel Object
  • Operators, Data Types & Variables
  • Conditional Statement
  • Loop Statement
  • VBA User Forms-Part-1
  • VBA User Forms-Part-2
  • Advance VBA Programming

5 Data Science with Python

  • The Data Science: An Overview
  • Data Analytics Overview
  • Statistical Analysis and Business Applications
  • Python Environment Setup and Essentials
  • What is Mathematical Computing with Python (NumPy)?
  • The Scientific computing with Python (Scipy)
  • The Data Manipulation with Pandas
  • The Natural Language Processing with Scikit Learn
  • The Data Visualization in Python using matplotlib
  • Web Scraping with BeautifulSoup
  • Python integration with Hadoop MapReduce and Spark

Target Audience

  • Data Integration Architects
  • Hadoop Administrators and Developers
  • Data Analysts
  • Data Scientists
  • Data Architects
  • The software developers, who indulge in processing large amounts of data
  • Statistical geneticist


Data Scientist online training from Multisoft Virtual Academy is a ladder to the success for those, who wish to gain acquaintance on Data Science essentials. 

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