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Why Choose Linkplux?

Industry-Focused Data Science
Training in Pune

Linkplux provides industry-focused Data Science training in Pune with practical learning in Python, SQL, statistics, machine learning, deep learning, data visualization, artificial intelligence, and Generative AI. Our Data Science course in Pune is designed with real-world datasets, hands-on projects, industry-relevant tools, and expert guidance to help learners develop job-ready skills and prepare for careers in Data Science, Machine Learning, Artificial Intelligence, and Data Analytics.

Learn with Real-World Data
Python, SQL, ML & AI
Career & Placement Support
Data Science Training in Pune
Build a Data Science Portfolio
Industry Expert Mentorship
Professional Certification
Premium Features

Data Science Course Highlights

Hands-On Training in Pune

Gain practical experience through real-world datasets, guided exercises, industry case studies, and project-based Data Science training designed to help you understand the complete data science lifecycle.

Python, SQL, ML & AI Skills

Build strong Data Science skills with Python, SQL, NumPy, Pandas, statistics, machine learning, deep learning, Generative AI, and data visualization to transform complex data into actionable insights.

Industry-Ready Data Science Certification

Enhance your professional profile with a Data Science course completion certificate that demonstrates practical knowledge of Python, SQL, statistics, machine learning, data visualization, AI, and data-driven problem solving.

Career & Placement Support

Prepare for Data Science careers in Pune with resume building, technical guidance, job-oriented learning, mock interviews, and career mentoring aligned with current industry requirements.

Real-Time Data Science Projects

Apply Python, SQL, statistics, machine learning, deep learning, AI, and data visualization to practical projects based on real-world business scenarios and industry-relevant Data Science use cases.

Expert-Led Data Science Learning

Learn through structured sessions covering Python, SQL, statistics, machine learning, deep learning, Gen AI, data visualization, and AI with guidance from experienced Data Science trainers.

Professional Data Science Portfolio

Build a strong Data Science portfolio with Python projects, SQL analysis, machine learning models, interactive visualizations, AI applications, and real-world projects that showcase your technical and analytical abilities.

Data Science Interview Preparation

Strengthen your technical interview skills with Python coding practice, statistics, machine learning questions, analytical problem-solving, mock interviews, and career guidance for Data Science 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
Course Curriculum

Industry-Focused Data Science Training in Pune Syllabus

Paper 1: Python for Data Science

  • Unit 1: Python Fundamentals, Variables, Data Types, Operators and Programming Concepts
  • Unit 2: Conditional Statements, Loops, Functions, Lambda Expressions and Python Modules
  • Unit 3: Lists, Tuples, Sets, Dictionaries and Essential Python Data Structures
  • Unit 4: NumPy Arrays, Pandas DataFrames and Practical Data Manipulation Techniques
  • Unit 5: Jupyter Notebook, Python-Based Data Analysis and Practical Data Science Projects

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

Paper 2: Statistics & Mathematics for Data Science

  • Unit 1: Descriptive Statistics, Mean, Median, Mode, Variance and Standard Deviation
  • Unit 2: Probability, Probability Distributions, Sampling Methods and Statistical Concepts
  • Unit 3: Correlation, Covariance, Regression and Relationship Analysis
  • Unit 4: Hypothesis Testing, Confidence Intervals and Statistical Decision-Making
  • Unit 5: Linear Algebra, Calculus Fundamentals and Mathematical Concepts for Machine Learning

AI Tools used in this Paper: ChatGPT, Microsoft Copilot

Paper 3: SQL, Data Wrangling & Exploratory Data Analysis

  • Unit 1: Relational Databases, Tables, Keys, SQL Fundamentals and Database Concepts
  • Unit 2: SQL Queries, SELECT Statements, Filtering, Sorting, Grouping and Data Aggregations
  • Unit 3: SQL Joins, Subqueries, Common Table Expressions and Set Operations
  • Unit 4: Data Cleaning, Transformation, Feature Creation and Data Wrangling using Python
  • Unit 5: Exploratory Data Analysis, Pattern Identification, Visualization and Business Insight Generation

AI Tools used in this Paper: ChatGPT, Microsoft Copilot

Paper 4: Machine Learning Fundamentals

  • Unit 1: Machine Learning Fundamentals, Types of Learning, Data Preparation and Feature Engineering
  • Unit 2: Linear Regression, Logistic Regression and Classification Algorithms
  • Unit 3: Decision Trees, Random Forest, K-Nearest Neighbors and Support Vector Machines
  • Unit 4: Clustering, K-Means, Hierarchical Clustering and Unsupervised Learning Techniques
  • Unit 5: Model Evaluation, Cross-Validation, Hyperparameter Tuning and Model Selection

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

Paper 5: Advanced Machine Learning & Predictive Analytics

  • Unit 1: Ensemble Learning, Bagging, Boosting and Advanced Machine Learning Methods
  • Unit 2: XGBoost, Gradient Boosting, Feature Selection and Model Optimization
  • Unit 3: Time Series Analysis, Forecasting and Predictive Modeling Techniques
  • Unit 4: Recommendation Systems, Anomaly Detection and Advanced Data Analytics
  • Unit 5: End-to-End Predictive Analytics Projects and Real-World Machine Learning Applications

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

Paper 6: Deep Learning & Neural Networks

  • Unit 1: Deep Learning Fundamentals, Neural Networks, Perceptrons and Activation Functions
  • Unit 2: Forward Propagation, Backpropagation, Loss Functions and Optimization Techniques
  • Unit 3: Convolutional Neural Networks, Image Processing and Computer Vision
  • Unit 4: Recurrent Neural Networks, LSTM, GRU and Sequence Modeling
  • Unit 5: TensorFlow, Keras, PyTorch and Practical Deep Learning Projects

AI Tools used in this Paper: TensorFlow, Keras, PyTorch, ChatGPT

Paper 7: NLP, Generative AI & Large Language Models

  • Unit 1: Natural Language Processing Fundamentals, Text Processing and Feature Extraction
  • Unit 2: Sentiment Analysis, Text Classification, Named Entity Recognition and NLP Applications
  • Unit 3: Generative AI Fundamentals, Transformers, Attention Mechanisms and Foundation Models
  • Unit 4: Large Language Models, Prompt Engineering, Embeddings and Retrieval-Augmented Generation
  • Unit 5: Generative AI Applications, LLM Projects and Real-World AI Use Cases

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

Paper 8: MLOps, Cloud & Data Science Deployment

  • Unit 1: MLOps Fundamentals, Machine Learning Lifecycle and Model Deployment
  • Unit 2: Git, GitHub, Version Control, Data Pipelines and Machine Learning Model Management
  • Unit 3: Docker, APIs, Flask, FastAPI and Machine Learning Application Deployment
  • Unit 4: Cloud Platforms, Cloud-Based Machine Learning and Data Science Workflows
  • Unit 5: CI/CD, Model Monitoring, Model Versioning and Production Machine Learning

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

Paper 9: Real-Time Data Science Projects & Career Preparation

  • Unit 1: End-to-End Data Science Project Workflow and Business Problem Definition
  • Unit 2: Data Collection, Cleaning, SQL Analysis, EDA and Feature Engineering
  • Unit 3: Machine Learning, Deep Learning, NLP and Generative AI Projects using Real-World Datasets
  • Unit 4: Capstone Project, Model Deployment, Portfolio Development and Project Presentation
  • Unit 5: Data Science Interview Preparation, Resume Building and Career Guidance

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

Let's Get Started

Skills Covered in Data Science Training in Pune

Python Programming
NumPy
Pandas
Jupyter Notebook
SQL & Database Queries
Scikit-learn
Data Cleaning & Preparation
Exploratory Data Analysis
Feature Engineering
Descriptive Statistics
Probability Concepts
Statistical Inference
Hypothesis Testing
Regression Analysis
Correlation Analysis
Supervised Learning
Decision Tree Models
Random Forest
Support Vector Machine
K-Means Clustering
XGBoost
Hyperparameter Optimization
Model Evaluation Techniques
Artificial Neural Networks
Convolutional Neural Networks
RNN & LSTM Models
TensorFlow
Keras
Natural Language Processing
Matplotlib
Seaborn
Plotly
Tableau
Interactive Data Dashboards
Data Storytelling Techniques
Generative AI
Prompt Engineering
Large Language Models
RAG-Based Applications
Docker & Containerization
Git & GitHub
MLflow & Model Tracking
Cloud Model Deployment
Industry Tools

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

Python & Data Science Tools "Master Industry-Standard Tools for Python Programming, Data Analysis, Machine Learning & AI Workflows"

Python Data Science Training in Pune
PythonData Science Programming
Jupyter Notebook Data Science Training
Jupyter NotebookInteractive Data Analysis
NumPy Data Science Training
NumPyNumerical Computing
Pandas Data Analysis Training
PandasData Manipulation
Google Colab Data Science Training
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 "Build Practical Database Skills Using Popular SQL Platforms for Data Storage, Querying, Analysis & Management"

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

Machine Learning Tools "Develop, Evaluate & Optimise Machine Learning Models Using Popular Libraries and Practical Data Science Techniques"

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

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

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

Generative AI Tools "Explore Leading Generative AI Platforms for Research, Coding, Automation, LLM Applications & Data Science Workflows"

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

Data Visualization Tools "Create Interactive Reports, Visual Analytics & Dashboards Using Popular Business Intelligence and Python Visualization Tools"

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

MLOps & Cloud Tools "Learn Tools for Deploying, Managing, Monitoring, Versioning & Scaling Real-World Data Science and Machine Learning Solutions"

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

Analytics & Professional Tools "Build Practical Skills with Analytics, Documentation, Collaboration & Portfolio Tools for Data Science Careers"

Analytics ToolsBusiness Data Analysis
GitHub ProjectsProject Collaboration
Jupyter ReportsData Documentation
BI ToolsBusiness Reporting
Data ToolsData Preparation
GitHub Data Science Portfolio Training
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

Professional Development

How Data Science
Training Can Transform Your Career

Data Science enables businesses to convert complex data into meaningful insights and strategic decisions. Through hands-on learning in Python, statistics, machine learning and analytical technologies, learners can build essential expertise for a wide range of technology and data-driven career paths.

Rising Demand for Data Science Expertise

Career Options Across Multiple Industries

Multiple Roles in Analytics & AI

Explore International Career Opportunities

Advance with Emerging Tech

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 Science & Analytics Entry Roles

Intern ₹2 LPA – ₹3 LPA
Entry ₹3 LPA – ₹6 LPA
  • Data Science Intern
  • Junior Data Analyst
  • Data Analyst
  • Junior Data Scientist
  • Business Intelligence Analyst
  • Reporting Analyst
Stage 02

Data Scientist & Machine Learning Specialist

Entry ₹4 LPA – ₹8 LPA
Mid ₹8 LPA – ₹14 LPA
Senior ₹14 LPA – ₹22+ LPA
  • Data Scientist
  • Machine Learning Engineer
  • Applied Data Scientist
  • Machine Learning Specialist
  • Predictive Analytics Specialist
  • Data Science Consultant
Stage 03

AI & Deep Learning Specialist

Entry ₹5 LPA – ₹9 LPA
Mid ₹9 LPA – ₹16 LPA
Senior ₹16 LPA – ₹28+ LPA
  • AI Engineer
  • Deep Learning Engineer
  • Computer Vision Engineer
  • NLP Engineer
  • AI/ML Engineer
  • Artificial Intelligence Specialist
Stage 04

Generative AI & LLM Specialist

Entry ₹5 LPA – ₹8 LPA
Mid ₹10 LPA – ₹20 LPA
Senior ₹20 LPA – ₹35+ LPA
  • Generative AI Engineer
  • LLM Engineer
  • Prompt Engineer
  • AI Application Developer
  • RAG Developer
  • AI Agent Developer
Stage 05

MLOps & AI Engineering

Entry ₹6 LPA – ₹10 LPA
Mid ₹10 LPA – ₹20 LPA
Senior ₹20 LPA – ₹35+ LPA
  • MLOps Engineer
  • AI Platform Engineer
  • ML Operations Engineer
  • ML Infrastructure Engineer
  • AI Deployment Engineer
  • Machine Learning Architect
Stage 06

Senior Data Science & AI Leadership

Mid ₹12 LPA – ₹25 LPA
Senior ₹20 LPA – ₹45+ LPA
  • Lead Data Scientist
  • Lead AI Engineer
  • Principal Data Scientist
  • AI Solutions Architect
  • Head of Data Science
  • AI/ML Engineering Manager
Career Path

Data Science Career Roadmap

01
Entry Level
  • Data Science Intern
  • Junior Data Scientist
  • Junior ML Engineer
02
Mid Level
  • Data Scientist
  • Machine Learning Engineer
  • Applied Data Scientist
03
Senior Level
  • Senior Data Scientist
  • Senior ML Engineer
  • AI & ML Consultant
04
Leadership
  • Lead Data Scientist
  • AI & ML Manager
  • Head of Data Science
YOUR DATA SCIENCE CAREER STARTS HERE

Ready to start your journey?

Build practical expertise through a structured learning path covering Python, SQL, statistics, data analysis, machine learning, deep learning, data visualization, Generative AI and real-world Data Science projects.

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● Practical Learning · Real-world Data Science 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.

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

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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.

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    Linkplux Certification

    Get Professional Data Science Course
    Certification

    A Data Science course certification from Linkplux validates practical proficiency in Python, SQL, statistics, data analysis, machine learning, deep learning, data visualization, artificial intelligence, Generative AI, and real-world data science projects. It can enhance your CV, showcase hands-on Data Science project experience, and demonstrate your readiness for data-driven roles in Pune's IT sector such as Data Scientist, Junior Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, Data Science Consultant, and AI/ML Engineer.

    Data Science Course Certification in Pune
    Data Science Certification in Pune
    Data Science Career Certification in Pune

    Reviews from Our Successful Students

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

    Support

    Frequently Asked Questions

    Data Science Training in Pune helps learners develop practical skills in Python, SQL, statistics, data analysis, machine learning, deep learning, data visualization, artificial intelligence, and Generative AI. The course focuses on hands-on learning, real-world datasets, practical projects, and industry-relevant Data Science tools to help learners prepare for careers in Data Science, Machine Learning, Artificial Intelligence, and Data Analytics.
    A Data Science course in Pune is suitable for students, fresh graduates, working professionals, software developers, data analysts, engineers, and career switchers. Beginners can start with Python and statistics fundamentals before progressing into SQL, data analysis, machine learning, deep learning, Generative AI, data visualization, and practical Data Science projects.
    Data Science Training in Pune typically covers Python, NumPy, Pandas, SQL, statistics, data cleaning, data preprocessing, exploratory data analysis, feature engineering, machine learning, supervised and unsupervised learning, deep learning, NLP, Generative AI, data visualization, and model evaluation. Learners also gain practical experience through real-world datasets, hands-on projects, predictive analytics, machine learning use cases, and portfolio development.
    Yes, Data Science Training in Pune can include Machine Learning and Artificial Intelligence as important components of the curriculum. Learners can explore supervised learning, unsupervised learning, regression, classification, clustering, decision trees, random forests, support vector machines, ensemble learning, model evaluation, deep learning, neural networks, NLP, and Generative AI concepts.
    Python is one of the most widely used programming languages for Data Science. A structured Data Science course can introduce learners to Python fundamentals, data types, functions, object-oriented programming, NumPy, Pandas, data manipulation, data visualization, and Python-based machine learning libraries. Beginners can learn Python step by step before moving into advanced Data Science concepts.
    Practical projects are an important part of Data Science learning. Learners can work with real-world datasets involving data analysis, exploratory data analysis, predictive analytics, customer insights, sales forecasting, fraud detection, recommendation systems, machine learning models, and data visualization. Project-based learning helps develop practical skills and build a professional Data Science portfolio.
    Modern Data Science training can introduce Generative AI, Large Language Models, prompt engineering, NLP, Retrieval-Augmented Generation, AI tools, model deployment, MLOps, Git, Docker, cloud platforms, and AI application development. Learners can understand how modern AI technologies support data analysis, machine learning, automation, and intelligent application development.
    After Data Science Training, learners can explore roles such as Data Scientist, Junior Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, Deep Learning Engineer, NLP Engineer, Generative AI Engineer, Data Science Consultant, and AI/ML Engineer, depending on their skills, experience, portfolio, and employer requirements.
    Many Data Science Training programs in Pune provide course completion certification and career support. Depending on the institute, support may include resume preparation, Data Science portfolio development, mock interviews, career guidance, project support, and job opportunities. Learners should confirm the specific certification and placement assistance offered before enrollment.
    Pune is a major technology and IT services hub with opportunities across software development, analytics, artificial intelligence, machine learning, cloud computing, and data-driven businesses. Data Science Training in Pune helps learners build practical skills in Python, SQL, statistics, data analysis, machine learning, deep learning, Generative AI, data visualization, and real-world Data Science project development.