Data-Science IN chennai

ADMISSION OPEN FOR 2026

Data-Science IN chennai

Data science is a broad field that uses systems, algorithms, and scientific techniques to extract valuable information from unstructured and organised data. It combines concepts from computer science, mathematics, and statistics to examine complex datasets, identify patterns, and support well-informed decision-making. Data scientists extract useful information from massive data sources using a variety of techniques, including statistical modelling, machine learning, and data visualisation.

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About The Program

Course Overview

A Data Science course offers an in-depth examination of the core principles, methodologies, and technologies employed in the realm of data science. Its goal is to furnish participants with the expertise and capabilities required to effectively analyse, interpret, and extract meaningful insights from a wide range of data sets.

What You'll Learn

  • 60+ hours of live classroom training
  • Projects aligned in domains industries
  • Master more than ten stack tools.
  • live Projects
  • 24*7 Support
  • Certification

Industry Recognition

Earn a highly valued certificate to boost your tech career.

Who Should Apply

  • Individual Consultation Industry Experts
  • Placement Support
  • Mock Job Interviews
  • Zero-Interest EMI
  • Flexible Session Scheduling
  • Discussion through Class

Top Rated Program

Rated 4.9/5 by 10,000+ students for our expert mentorship.

Program Summary

Fast-track your career with industry-aligned training.

Duration

6 Months (Weekend/Weekday)

Next Batch

Admissions Open (Limited Seats)

Mode of Training

Hybrid (Online + Offline)

100% Placement Assistance
Industry Expert Mentors
Real-time Live Projects

Have questions? Call us now

+91 9840234475 / 9884468682

Career Support

Get exclusive access to our hiring network of 70+ top tech companies.

Mock Interviews & Prep
Resume & LinkedIn Building
Dedicated Job Portal Access
Explore Placements

FEATURED EVENTS

Data Science syllabus

Module 1: Introduction to Data Science

Module 1: Introduction to Data Science

4 Weeks
3 Topics
Online / Offline

MODULE TOPICS OVERVIEW

  • Definition and scope of data science

    Day 1
  • Overview of the data science life cycle

    Day 2
  • Ethical considerations in data science

    Day 3
Module 2: Data Exploration and Preprocessing

Module 2: Data Exploration and Preprocessing

4 Weeks
4 Topics
Online / Offline
Module 3: Statistical Analysis and Hypothesis Testing

Module 3: Statistical Analysis and Hypothesis Testing

4 Weeks
4 Topics
Online / Offline
Module 4: Machine Learning Basics

Module 4: Machine Learning Basics

4 Weeks
3 Topics
Online / Offline
Module 5: Predictive Modeling

Module 5: Predictive Modeling

4 Weeks
3 Topics
Online / Offline
Module 6: Clustering and Dimensionality Reduction

Module 6: Clustering and Dimensionality Reduction

4 Weeks
4 Topics
Online / Offline
Module 7: Natural Language Processing (NLP)

Placement Drive

4 Weeks
4 Topics
Online / Offline
Module 8: Big Data Technologies

Module 8: Big Data Technologies

4 Weeks
3 Topics
Online / Offline
Module 9: Data Visualization

Module 9: Data Visualization

4 Weeks
3 Topics
Online / Offline
RECOGNITION & CERTIFICATION

Data-Science Certification

A certification can help you develop in your career by allowing you to apply for positions that expressly call for data science competence or more advanced tasks. Additionally, it can help you stand out in the job market. Within the sector, certifications from respectable schools or organisations are frequently acknowledged and valued. Your credibility and reputation as a data science expert may increase as a result of this acknowledgment.

Industry Accredited
LinkedIn Shareable
Certificate Sample
Verified Certificate

STUDENT REVIEWS & SUCCESS STORIES

What Our Alumni Say About Us

Real feedback from graduates who upskilled with Inetz Technologies and launched thriving careers in top IT companies.

Suresh Kumar

Suresh Kumar

Python Developer

4.9 / 5.0

"Comprehensive coverage of database indexing, Django models, and FastAPI async services. Highly recommended for anyone wanting a solid career in Python engineering."

Verified Student GraduateInetz Tech Alumni
Vigneshwaran K

Vigneshwaran K

Python Full Stack Developer

4.9 / 5.0

"The Python Full Stack curriculum covers Django and FastAPI in great practical detail. Learning to connect a React frontend with a clean DRF backend helped me build production-ready projects for my portfolio."

Verified Student GraduateInetz Tech Alumni
Admissions Criteria

Who Is Eligible to Apply?

We provide modern learners with the technical tools, high-speed training, and practical clarity needed to scale their careers globally.

Instant Access. Apply for our programs online and receive enrollment decisions in under 24 hours.

Enterprise-Grade Training. Every student is guided with expert mentorship and real-time performance monitoring.

Global Network. Seamlessly connect with top hiring companies and alumni across the country.

Requirement 1

Working professionals in the IT industry seeking to transition into AI development or upgrade their skills may be eligible.

Requirement 2

Students currently enrolled in computer science or related degree programs who wish to enhance their skills may be eligible.

Requirement 3

Perfect for beginners looking to build a foundation in data analytics and artificial intelligence.

Career Acceleration

Transform Your Career With Dedicated Placement Support

Unlock direct access to top tech recruiters, 1-on-1 mock interviews, and tailored resume optimization built for high-growth roles.

70+

Hiring Partners

100%

Job Support

CAREER SUPPORT

Placement Guidance

Guaranteed Interviews

Interviews are guaranteed upon project and assignment submission, with direct access to 45+ hiring partners.

Dedicated Job Portal

Exclusive access to job listings from 45+ hiring partners with personalized mentorship to advance your career.

FREQUENTLY ASKED QUESTIONS

Got Questions? We've Got Answers.

Everything you need to know about our industry-oriented training, hands-on capstone projects, and placement assistance.

1

What are the key skills required for a career in Data Science?

Key skills include proficiency in programming languages (e.g., Python, R), statistical analysis, machine learning, data preprocessing, data visualization, and domain-specific knowledge. Strong problem-solving and communication skills are also essential.

2

Do I need a specific educational background for a career in Data Science?

3

How does machine learning relate to Data Science?

4

How important is domain knowledge in Data Science?