🔥 Next Batch starts on 18th July 2026
Why Choose Linkplux?

Advanced AI-Powered Data Science
Training in Chennai

Linkplux offers industry-focused learning that combines data science concepts with practical tools and technologies. Our Data Science course is designed around hands-on projects, real-world datasets, and expert guidance to help learners build strong analytical skills and prepare for data-driven careers.

Learn with Data Projects
Python, SQL & ML Training
Career & Placement Support
Data Science Training in Chennai
Portfolio Development
Industry Expert Mentorship
Professional Certification
Premium Features

Course Highlights

Hands-On Data Science Training

Build practical expertise through real-world datasets, guided exercises, case studies, and project-based learning across the data science workflow.

AI & Machine Learning Skills

Explore machine learning algorithms, artificial intelligence concepts, predictive modelling, and modern techniques used to develop intelligent solutions.

Industry-Ready Certification

Strengthen your profile with a course completion certificate that demonstrates practical knowledge of programming and data-driven problem solving.

Career & Placement Support

Prepare for data science careers with resume guidance, interview practice, and career mentoring through practical industry-focused preparation.

Real-Time Data Projects

Apply Python, SQL, statistics, visualization, and predictive analytics to practical projects using datasets that reflect industry use cases and real business challenges.

Expert-Led Learning

Learn from experienced trainers through structured sessions covering Python programming, statistical methods, ML, and advanced analytical techniques.

Portfolio Project Development

Create a strong professional portfolio with analytics reports, ML models, dashboards, and capstone projects that demonstrate your capabilities.

Interview Preparation

Improve your technical interview skills with practice questions, mock discussions, problem-solving exercises, and career guidance for analytics and AI roles.

Roadmap

How You'll Learn

Psychometric Assessment
Technical Skill Development
20% Theory
Communication Skill Development
80% Practical
Aptitude Skill Development
Webinars/Seminars by Experts
Learning Management System
Discussion Forum
Work on Live Projects
Placement Training
Resume Building
Interview Prep
Assessment MCQs
Mock Interviews
Portfolio Building
Certification
Curriculum

AI-Powered Data Science Course Syllabus

Paper 1: Python Programming for Data Science

  • Unit 1: Python Fundamentals, Variables, Data Types and Operators
  • Unit 2: Conditional Statements, Loops, Functions and Lambda Expressions
  • Unit 3: Lists, Tuples, Sets, Dictionaries and Comprehensions
  • Unit 4: File Handling, Exception Handling, Modules and Packages
  • Unit 5: Object-Oriented Programming, Regular Expressions and Jupyter Notebook

AI Tools used in this Paper: Jupyter AI, GitHub Copilot, ChatGPT

Paper 2: Statistics, Probability & Data Analysis

  • Unit 1: Descriptive Statistics, Mean, Median, Mode, Variance and Standard Deviation
  • Unit 2: Probability, Conditional Probability and Probability Distributions
  • Unit 3: Sampling, Confidence Intervals and Hypothesis Testing
  • Unit 4: Correlation, Covariance and Regression Fundamentals
  • Unit 5: ANOVA, T-Test, Z-Test, Chi-Square Test and Statistical Interpretation

AI Tools used in this Paper: ChatGPT, Claude, Jupyter AI

Paper 3: Data Wrangling, EDA & Visualization

  • Unit 1: NumPy Arrays, Vectorized Operations and Scientific Computing
  • Unit 2: Pandas DataFrames, Data Cleaning and Data Transformation
  • Unit 3: Handling Missing Values, Duplicates, Outliers and Inconsistent Data
  • Unit 4: Exploratory Data Analysis using Matplotlib, Seaborn and Plotly
  • Unit 5: Business Insights, Data Storytelling and Interactive Dashboards

AI Tools used in this Paper: ChatGPT, GitHub Copilot, Microsoft Copilot

Paper 4: SQL, Databases & Data Engineering Fundamentals

  • Unit 1: Relational Databases, Tables, Keys and Database Design
  • Unit 2: SQL Queries, Joins, Subqueries, Aggregations and Window Functions
  • Unit 3: Data Cleaning and Transformation using SQL
  • Unit 4: Stored Procedures, Views and Query Optimisation
  • Unit 5: Introduction to ETL, Data Pipelines, APIs and Big Data Concepts

AI Tools used in this Paper: GitHub Copilot, ChatGPT, Microsoft Copilot

Paper 5: Machine Learning & Predictive Analytics

  • Unit 1: Machine Learning Workflow, Data Preprocessing and Feature Engineering
  • Unit 2: Linear Regression, Polynomial Regression and Regularisation
  • Unit 3: Logistic Regression, K-Nearest Neighbours, Naive Bayes and SVM
  • Unit 4: Decision Trees, Random Forest and Ensemble Learning
  • Unit 5: Model Evaluation, Cross-Validation, Hyperparameter Tuning and Model Selection

AI Tools used in this Paper: Scikit-learn, ChatGPT, GitHub Copilot

Paper 6: Advanced Machine Learning & Time Series

  • Unit 1: Gradient Boosting with XGBoost, LightGBM and CatBoost
  • Unit 2: Clustering, K-Means, Hierarchical Clustering and DBSCAN
  • Unit 3: Dimensionality Reduction using PCA and Feature Selection
  • Unit 4: Time Series Analysis, Forecasting, Trends and Seasonality
  • Unit 5: Model Interpretability, SHAP, Explainable AI and Responsible AI

AI Tools used in this Paper: XGBoost, LightGBM, CatBoost, SHAP, ChatGPT

Paper 7: Deep Learning, NLP & Computer Vision

  • Unit 1: Neural Networks, Activation Functions, Loss Functions and Optimisation
  • Unit 2: TensorFlow and Keras for Deep Learning Applications
  • Unit 3: CNNs for Image Classification and Computer Vision
  • Unit 4: NLP, Text Preprocessing, Embeddings, Sentiment Analysis and NER
  • Unit 5: RNNs, LSTMs, GRUs and Sequence-Based Applications

AI Tools used in this Paper: TensorFlow, Keras, Hugging Face, ChatGPT

Paper 8: Generative AI, LLMs & AI Applications

  • Unit 1: Generative AI Fundamentals and Large Language Models
  • Unit 2: Prompt Engineering, Few-Shot Learning and Structured Prompting
  • Unit 3: Transformers, Embeddings, Vector Databases and Semantic Search
  • Unit 4: Retrieval-Augmented Generation (RAG) and AI-Powered Data Applications
  • Unit 5: Building AI Assistants, LLM Applications and Responsible AI Practices

AI Tools used in this Paper: ChatGPT, Gemini, Claude, Hugging Face, LangChain

Paper 9: MLOps, Cloud Deployment & Real-Time Projects

  • Unit 1: Model Deployment using Flask, FastAPI and Streamlit
  • Unit 2: Git, GitHub, Docker and Machine Learning Development Workflows
  • Unit 3: MLflow, Model Tracking, Versioning and Experiment Management
  • Unit 4: Cloud Fundamentals, Model Hosting and Production Data Pipelines
  • Unit 5: Capstone Project, Portfolio Development and Data Science Interview Preparation

AI Tools used in this Paper: MLflow, Docker, GitHub Copilot, ChatGPT, Cloud AI

Let's Get Started

Skills Covered

Python
NumPy
Pandas
Jupyter Notebook
SQL
Scikit-learn
Data Cleaning
Exploratory Data Analysis
Feature Engineering
Descriptive Statistics
Probability
Statistical Inference
Hypothesis Testing
Regression Analysis
Correlation
Supervised Learning
Decision Trees
Random Forest
SVM
K-Means Clustering
XGBoost
Hyperparameter Tuning
Model Evaluation
Neural Networks
CNN
RNN & LSTM
TensorFlow
Keras
NLP
Matplotlib
Seaborn
Plotly
Tableau
Interactive Dashboards
Data Storytelling
Generative AI
Prompt Engineering
Large Language Models
RAG Applications
Docker
Git & GitHub
MLflow
Cloud Deployment
Industry Tools

AI-Powered Data Science Tools You'll Master in Chennai

Python & Data Science Tools "Work with Industry-Standard Tools for Data Analysis, Programming & AI-Assisted Data Science Workflows"

Python Data Science Tool
PythonData Science Programming
Jupyter Notebook Data Science Tool
Jupyter NotebookInteractive Data Analysis
NumPy Data Science Tool
NumPyNumerical Computing
Pandas Data Analysis Tool
PandasData Manipulation
Google Colab Data Science Tool
Google ColabCloud Data Analysis
ChatGPT Data Science Tool
ChatGPTAI-Assisted Data Analysis
Google Gemini Data Science Tool
Google GeminiAI Research & Analysis
GitHub Copilot Data Science Tool
GitHub CopilotAI Coding Assistance

SQL & Database Tools "Use Popular Database Platforms and Query Tools for Efficient Data Storage, Retrieval & Management"

MySQL Data Science Tool
MySQLRelational Database
PostgreSQL Data Science Tool
PostgreSQLAdvanced Database
SQLite Data Science Tool
SQLiteLightweight Database
SQLData Querying
Database ToolsData Management
SQL WorkbenchDatabase Querying

Machine Learning Tools "Gain Hands-On Experience with Widely Used Libraries for Building, Evaluating & Optimising Machine Learning Models"

Scikit-learn Data Science Tool
Scikit-learnMachine Learning Library
XGBoost Machine Learning Tool
XGBoostGradient Boosting
SciPy Data Science Tool
SciPyScientific Computing
Model EvaluationML Performance Analysis
Hyperparameter TuningModel Optimisation
Feature EngineeringFeature Preparation

Deep Learning & AI Tools "Explore Modern Frameworks for Neural Networks, Artificial Intelligence, Natural Language Processing & Computer Vision"

TensorFlow Data Science Tool
TensorFlowDeep Learning Framework
PyTorch Data Science Tool
PyTorchAI Model Development
Keras Deep Learning Tool
KerasNeural Network API
OpenCV Data Science Tool
OpenCVComputer Vision Library
Hugging Face AI Tool
Hugging FaceNLP & AI Models
NLP ToolsLanguage Data Processing

Generative AI Tools "Use Leading AI Platforms and Frameworks to Enhance Research, Coding, Automation & Data Science Workflows"

ChatGPT Generative AI Tool
ChatGPTGenerative AI Assistant
Google Gemini AI Tool
GeminiMultimodal AI Platform
LangChain AI Development Tool
LangChainLLM Development
OpenAI Data Science AI Tool
OpenAIAI & LLM Platform
Prompt ToolsAI Interaction
Vector DatabasesAI Data Retrieval
RAG ToolsAI Knowledge Retrieval
AI AgentsAI Workflow Automation

Data Visualization Tools "Create Clear Visual Reports and Interactive Dashboards with Popular Business Intelligence & Python Visualization Platforms"

Power BI Data Science Tool
Power BIBusiness Intelligence
Tableau Data Science Tool
TableauData Visualisation
Matplotlib Data Science Tool
MatplotlibPython Charts
Seaborn Data Visualization Tool
SeabornStatistical Graphics
Plotly Data Visualization Tool
PlotlyInteractive Charts
Dashboard ToolsInteractive Reporting

MLOps & Cloud Tools "Work with Deployment and Collaboration Tools Used to Manage, Package, Monitor & Scale Data Science Solutions"

MLflow Data Science Tool
MLflowML Lifecycle Management
Docker Data Science Tool
DockerModel Containerisation
Git Data Science Tool
GitVersion Control
GitHub Data Science Tool
GitHubCode Collaboration
AWS Data Science Tool
AWSCloud Computing
FastAPI Data Science Tool
FastAPIModel API Deployment
Cloud PlatformsData Science Deployment

Analytics & Professional Tools "Use Practical Tools for Analytics, Documentation, Project Collaboration & Building a Strong Data Science Portfolio"

Analytics ToolsBusiness Data Analysis
GitHub ProjectsProject Collaboration
Jupyter ReportsData Documentation
BI ToolsBusiness Reporting
Data ToolsData Preparation
GitHub Data Science Portfolio Tool
GitHubPortfolio & Collaboration
Qualifications

Eligibility & Criteria

Everything you need to know to join and qualify for placement.

Who Can Apply?

Eligibility Year of Passing

2018 and After

Graduates

Any Graduate / Diploma

Academic Percentage

Min 60%

Placement Eligibility

Attendance

Min 90%

Assessment Marks

Min 75%

Live Projects

100% Completion

Career Growth

Why AI-Powered Data Science
Course Is A Great Career Choice

Data Science is a high-growth technology field that helps organisations turn data into meaningful insights and better business decisions. With practical learning in analytics, machine learning and modern data tools, learners can build strong skills for a range of technology and analytical careers.

Demand for Data Science Professionals

Excellent Opportunities Across Industries

Multiple Career Paths in Analytics & AI

Build Global Career Opportunities

Growth with Emerging Technologies

Career Insights

Data Science Job Roles and Annual Salary Range

Intern (0 - 6 Months)
Entry (0 - 2 Years)
Mid (2 - 5 Years)
Senior (5+ Years)
Stage 01

Data Analyst

Intern ₹2 LPA – ₹4 LPA
Entry ₹4 LPA – ₹8 LPA
  • Junior Data Analyst
  • Data Analyst
  • Business Data Analyst
  • Reporting Analyst
  • Data Quality Analyst
  • Operations Data Analyst
Stage 02

Business Intelligence Analyst

Entry ₹5 LPA – ₹9 LPA
Mid ₹8 LPA – ₹14 LPA
Senior ₹14 LPA – ₹22+ LPA
  • BI Analyst
  • BI Developer
  • Power BI Developer
  • Tableau Developer
  • BI Consultant
  • BI Manager
Stage 03

Data Scientist

Entry ₹7 LPA – ₹12 LPA
Mid ₹12 LPA – ₹20 LPA
Senior ₹20 LPA – ₹40+ LPA
  • Junior Data Scientist
  • Data Scientist
  • Applied Data Scientist
  • Senior Data Scientist
  • Lead Data Scientist
  • Principal Data Scientist
Stage 04

Machine Learning Engineer

Entry ₹7 LPA – ₹12 LPA
Mid ₹15 LPA – ₹25 LPA
Senior ₹25 LPA – ₹50+ LPA
  • ML Engineer
  • ML Developer
  • Applied ML Engineer
  • Senior ML Engineer
  • Machine Learning Architect
  • ML Engineering Lead
Stage 05

AI & Deep Learning Specialist

Mid ₹14 LPA – ₹25 LPA
Senior ₹25 LPA – ₹45+ LPA
  • AI Engineer
  • Deep Learning Engineer
  • Computer Vision Engineer
  • Natural Language Processing Engineer
  • Generative AI Engineer
  • AI Solutions Architect
Stage 06

Data Science & AI Leadership

Mid ₹14 LPA – ₹25 LPA
Senior ₹20 LPA – ₹50+ LPA
  • Lead Data Scientist
  • Data Science Manager
  • Machine Learning Manager
  • Artificial Intelligence Engineering Manager
  • Head of Data Science
  • Director of Data & AI
Career Path

Career Roadmap

01
Entry Level
  • Data Analyst
  • Data Intern
  • BI Analyst
02
Mid Level
  • Data Scientist
  • ML Engineer
  • BI Developer
03
Senior Level
  • Senior Scientist
  • ML Architect
  • Data Engineer
04
Leadership
  • Data Manager
  • AI Director
  • Data Director
YOUR CAREER STARTS HERE

Ready to start your journey?

Build practical expertise through a structured learning path covering Python, statistics, machine learning, visualization and real-world data projects.

Enroll Now

Practical Learning · Real-world Projects

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Inspiration

Success Stories from Our Students

See how Linkplux's IT training programs have helped students land top jobs through hands-on learning and expert guidance.

Student Success Story Main
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Trilochana found her path with Linkplux and landed the dream job.

#Datascience
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Krithika transformed her career with Linkplux and secured a Data Analyst role with a 4.5 LPA package. 🚀

#DataAnalytics
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Students shared how Linkplux's practical training and live projects helped him confidently start his Digital Marketing career.

#DigitalMarketing
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Krithika built her Full Stack Development skills at Linkplux and secured a 7 LPA Software Developer role. 🚀

#FullStackDevelopment
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Oviya Shree developed strong Data Analytics skills at Linkplux and launched her career as a Data Analyst. 📊

#DataAnalytics
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
Thumbnail

From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
Thumbnail

From a small town to a top tech firm, learn how our hands-on projects helped.

#Inspiration
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    Linkplux Certification

    Get Advanced AI-Powered Data Science Course
    Certification

    A AI-Powered Data Science course certification from Linkplux validates students' practical proficiency in Python, statistics, machine learning, data visualization, and predictive analytics. It enhances your CV, highlights practical project experience, and shows that you are prepared for positions in Chennai's cutthroat IT sector as a Data Scientist, Data Analyst, Machine Learning Engineer, and Data Engineer.

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    Reviews from Our Successful Students

    See how our AI-powered IT training institute has helped students succeed.

    Support

    Frequently Asked Questions

    AI-Powered Data Science combines programming, statistics, ML, and AI to analyze data, identify patterns, generate predictions, and support smarter business decisions.
    Students, graduates, freshers, and working professionals can join the program. Basic computer knowledge and an interest in analytics or programming can help learners progress.
    The curriculum can include Python, SQL, data preprocessing, visualization, ML, deep learning, natural language processing, artificial intelligence, and model development.
    Previous coding experience is useful but not essential. The training can begin with Python fundamentals and progressively introduce the programming concepts.
    Yes. Learners can work with practical exercises, datasets, analytical assignments, machine learning models, visualization tasks, and portfolio-oriented projects to develop applied skills.
    Learners can gain exposure to Python, NumPy, Pandas, Scikit-learn, Jupyter Notebook, SQL, data visualization libraries, machine learning frameworks, and business intelligence technologies.
    Yes. Successful learners can receive a course completion certificate that highlights their practical knowledge of data analysis, programming, machine learning, and AI-driven problem solving.
    Career options include Data Scientist, Data Analyst, ML Engineer, Data Engineer, Business Intelligence Developer, and AI Engineer across technology-driven industries.
    Career support can include resume development, technical interview preparation, mock interviews, and assistance with preparing for relevant analytics and technology opportunities.
    Chennai has a strong technology ecosystem with opportunities across IT, finance, healthcare, retail, and other sectors where data-driven skills are increasingly valuable.