Data Scientist Training
1K+ ReviewsInstructor-Led Training Parameters
Course Highlights
- Instructor-led Online Training
- Project Based Learning
- Certified & Experienced Trainers
- Course Completion Certificate
- Lifetime e-Learning Access
- 24x7 After Training Support
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
- 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
The candidates should be well acquainted on the database and programming ethics.
Instructor-led Training Live Online Classes
Suitable batches for you
| May, 2026 | Weekdays | Mon-Fri | Enquire Now |
| Weekend | Sat-Sun | Enquire Now | |
| Jun, 2026 | Weekdays | Mon-Fri | Enquire Now |
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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.
Data Scientist Corporate Training
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- Course ID & Course Name
- Certificate with Date of Issuance
- Name and Digital Signature of the Awardee
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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