Data Scientist Training

4.5
10,667 Learners

Advance your data science expertise with Data Scientist Training covering Python, statistics, data preprocessing, exploratory analysis, machine learning, predictive modeling and visualization. Gain hands-on skills to analyze complex datasets, build intelligent models, uncover actionable insights and develop data-driven solutions for real-world business challenges.

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Customized Learning Schedule
  • Doubt-Clearing Sessions

Data Scientist Training Course Overview

The data scientist training aims the audience willing to gain expertise on implementing the data science programming ethics and how to transform the data using various ethics. The data scientist course helps the professionals in implementing the algorithms, functions, methods, and Excel objects, as well as mathematical analysis for extracting valuable insights to apply strategic decisions.

The Data Scientist Certifaction helps the candidates in:

  • Understanding how to read Spreadsheet and Database Data
  • Understanding what is Data Manipulation Techniques by using the R programming?
  • Getting familiarity with Pig, Hive, impala, etc.
  • Learning Operators, Data Types & Variables and VBA Excel Object
  • Understanding what Mathematical Computing with Python (NumPy) is?
  • What are Python Environment Setup and Essentials?
  • Implementing the programing algorithms efficiently

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

Prerequisites

The candidates should be well acquainted on the database and programming ethics.

Instructor-led Training Live Online Classes

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Data Scientist Training Course Content

1. Data Science With SAS Training (SAS Programmer)

SAS® Advanced
  • 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® 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

An Introduction to Spark - Getting started
  • 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
    • 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
Note: to know about the detailed information about the course modules please feel free to write us or give us a buzz.

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Data Scientist Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Data Scientist Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


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360º Learning Solution

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Learning Assessment

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Professional Growth

Why Data Scientist Training for Your Professional Growth

Strengthen your professional capabilities with practical learning, industry-relevant knowledge, and skills applicable to real-world business and technology environments.

Industry-Relevant Skills

Gain knowledge aligned with current industry practices, technologies, processes, and professional requirements.

Practical Learning

Understand concepts through practical scenarios, instructor-led discussions, exercises, and use cases.

Enhanced Professional Capability

Strengthen your ability to work confidently with relevant tools, workflows, platforms, and business processes.

Broader Career Opportunities

Add valuable capabilities to your profile and explore opportunities across relevant roles, projects, and industries.

Adapt to Changing Technologies

Stay familiar with evolving technologies, methodologies, and practices shaping modern enterprise environments.

Professional Recognition

Demonstrate your training achievement with a course completion certificate from Multisoft Systems.

Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Instructor-Led Learning

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Expert-led live online sessions
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Practical Learning

Hands-on exposure that supports concept understanding.

Practical scenarios, exercises, and use cases
Practical coverage may differ

Flexible Learning Options

Learning formats designed around different schedules.

Weekday, weekend, and learning options
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Learner Support

Assistance throughout the training journey.

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Learning Resources

Resources that support revision and continued learning.

Digital learning material and course resources
Resource access may be limited or different

Training Certificate

Recognition after successful course completion.

Globally recognized training certificate
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Data Scientist Training Trainer Profile

20+ Years Experienced

Our Data Scientist Corporate & Certification Program trainers bring 13+ years of proven industry expertise, delivering practical insights aligned with real project environments.

Trained 3150+ Professionals

Our expert trainers have successfully trained 3350+ professionals through structured, real-time training programs designed for industry readiness and career growth.

Certified Experts & Real-Time Project Learning

Build strong practical skills through live project-based training sessions led by certified industry experts with real-world experience.

Hands-on Learning Approach

Gain practical exposure through real-time scenarios, industry case studies, and hands-on assignments that simulate actual project challenges.

Certification Training Guidance

Receive expert support to prepare effectively, practice strategically, and confidently achieve globally recognized certification success.

Customized Training Delivery

Flexible training approach tailored to individual learning goals, skill levels, and evolving industry requirements for maximum effectiveness.

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