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Best AI-Powered Data Science Course
Accelerate your data career with expert-led training focused on AI-Powered Data Science at Linkplux.
Advanced AI-Powered Data Science
Course
Linkplux offers industry-focused learning that combines data science concepts with modern tools and technologies. Our Data Science course emphasizes hands-on projects, real-world datasets, and expert guidance to help learners develop analytical expertise and prepare for data-driven careers.
Hands-On Data Science Projects
Python, SQL & Machine Learning
Career & Placement Guidance
Professional Portfolio Building
Industry Expert Guidance
Industry-Recognized Certification
Course Highlights
Practical Data Science Learning
Develop expertise through real-world datasets, guided exercises, case studies, and project-based practice covering essential data science workflows.
Machine Learning & AI Skills
Learn machine learning algorithms, AI fundamentals, predictive modelling, feature engineering, and techniques for creating intelligent models.
Professional Data Science Certification
Enhance your profile with a course completion certificate showcasing practical knowledge of programming, analytics, and data-driven problem solving.
Career Development Support
Prepare for data science roles with resume guidance, mock interviews, technical practice, and career mentoring focused on professional readiness.
Real-World Data Projects
Apply Python, SQL, statistics, visualization, and predictive analytics to practical projects using datasets that represent business use cases and analytical challenges.
Mentor-Guided Learning
Learn through structured sessions covering Python programming, data preprocessing, ML, and advanced modelling techniques.
Professional Portfolio Building
Build a strong professional portfolio featuring analysis reports, ML models, visualizations, and capstone projects that showcase your expertise.
Technical Interview Preparation
Strengthen your technical interview skills through practice questions, mock discussions, coding exercises, and career guidance for data-focused roles.
How You'll Learn
AI-Powered Data Science Course Syllabus
Paper 1: Python Programming for Data Science
- Unit 1: Python Syntax, Variables, Data Types and Operators
- Unit 2: Conditions, Loops, Functions and Lambda Expressions
- Unit 3: Lists, Tuples, Sets, Dictionaries and Comprehensions
- Unit 4: File Processing, 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: Missing Values, Duplicates, Outliers and Inconsistent Data
- Unit 4: Exploratory Data Analysis using Matplotlib, Seaborn and Plotly
- Unit 5: Data Storytelling, Business Insights 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 Optimization
- Unit 5: ETL Concepts, Data Pipelines, APIs and Big Data Fundamentals
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 Regularization
- 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 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 Optimization
- 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: 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
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"
SQL & Database Tools "Use Popular Database Platforms and Query Tools for Efficient Data Storage, Retrieval & Management"
Machine Learning Tools "Gain Hands-On Experience with Widely Used Libraries for Building, Evaluating & Optimising Machine Learning Models"
Deep Learning & AI Tools "Explore Modern Frameworks for Neural Networks, Artificial Intelligence, Natural Language Processing & Computer Vision"
Generative AI Tools "Use Leading AI Platforms and Frameworks to Enhance Research, Coding, Automation & Data Science Workflows"
Data Visualization Tools "Create Clear Visual Reports and Interactive Dashboards with Popular Business Intelligence & Python Visualization Platforms"
MLOps & Cloud Tools "Work with Deployment and Collaboration Tools Used to Manage, Package, Monitor & Scale Data Science Solutions"
Analytics & Professional Tools "Use Practical Tools for Analytics, Documentation, Project Collaboration & Building a Strong Data Science Portfolio"
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
Why Data Science
Course Can Shape Your Career
Data Science helps organisations transform complex information into actionable insights and informed decisions. With practical learning in Python, statistics, machine learning and analytical tools, learners can develop valuable capabilities for diverse technical and data-focused careers.
Growing Demand for Data Science Skills
Opportunities Across Diverse Industries
Diverse Roles Across Analytics & AI
Access to Global Career Opportunities
Progress with Emerging Tech
Data Science Job Roles and Annual Salary Range
Data Analyst
- Junior Data Analyst
- Data Analyst
- Business Data Analyst
- Reporting Analyst
- Data Quality Analyst
- Operations Data Analyst
Business Intelligence Analyst
- BI Analyst
- BI Developer
- Power BI Developer
- Tableau Developer
- BI Consultant
- BI Manager
Data Scientist
- Junior Data Scientist
- Data Scientist
- Applied Data Scientist
- Senior Data Scientist
- Lead Data Scientist
- Principal Data Scientist
Machine Learning Engineer
- ML Engineer
- ML Developer
- Applied ML Engineer
- Senior ML Engineer
- Machine Learning Architect
- ML Engineering Lead
AI & Deep Learning Specialist
- AI Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- Natural Language Processing Engineer
- Generative AI Engineer
- AI Solutions Architect
Data Science & AI Leadership
- Lead Data Scientist
- Data Science Manager
- Machine Learning Manager
- Artificial Intelligence Engineering Manager
- Head of Data Science
- Director of Data & AI
Data Science Career Roadmap
- Data Analyst
- Data Intern
- Junior BI Analyst
- Data Scientist
- Machine Learning Engineer
- BI Developer
- Senior Data Scientist
- ML Architect
- Data Engineer
- Data Science Manager
- AI Director
- Head of Data Science
Our Alumni Work at
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.
Trilochana found her path with Linkplux and landed the dream job.
#Datascience
Krithika transformed her career with Linkplux and secured a Data Analyst role with a 4.5 LPA package. 🚀
#DataAnalytics
Students shared how Linkplux's practical training and live projects helped him confidently start his Digital Marketing career.
#DigitalMarketing
Krithika built her Full Stack Development skills at Linkplux and secured a 7 LPA Software Developer role. 🚀
#FullStackDevelopment
Oviya Shree developed strong Data Analytics skills at Linkplux and launched her career as a Data Analyst. 📊
#DataAnalytics
From a small town to a top tech firm, learn how our hands-on projects helped.
#Inspiration
From a small town to a top tech firm, learn how our hands-on projects helped.
#Inspiration
From a small town to a top tech firm, learn how our hands-on projects helped.
#Inspiration
From a small town to a top tech firm, learn how our hands-on projects helped.
#Inspiration
From a small town to a top tech firm, learn how our hands-on projects helped.
#Inspiration
From a small town to a top tech firm, learn how our hands-on projects helped.
#InspirationGet Advanced Data Science Course
Certification
The Data Science certification from Linkplux certifies you in practical competencies of skills like statistics, Python machine learning, data visualization, and predictive analytics. The certification also highlights your technical qualifications and practical experience which can be added in your CV. Furthermore, it shows your capacity to interpret data, create models, and communicate insights. Ultimately, it allows you to build your capacities for prospects like Data Scientist, Data Analyst, Machine Learning Engineer, or Data Engineer in the modern-day competitive job market.
Reviews from Our Successful Students
See how our AI-powered IT training institute has helped students succeed.
"Perfect for Beginners"
Hi, I'm Priya.S . I completed my undergraduate degree in 2021. Then I decided to change my career to the IT field. The trainers were very friendly and cleared all my doubts. My special thanks to Ashok sir for his guidance. I learned to create a website very easily. The real-time project gave me the confidence to crack the interview.
"Hands-On Learning That Built My Confidence"
The MERN Stack training at Linkplux gave me practical experience in building real-world web applications. Every concept was explained clearly with hands-on coding sessions, making it easy to understand both frontend and backend development. The trainers were supportive throughout the course, and the live projects helped me gain the confidence to attend interviews and start my career as a Full Stack Developer.
"A Perfect Start to My Digital Marketing Career"
The Digital Marketing program at Linkplux gave me the confidence to work on real-world projects and understand industry practices. The trainers explained every concept with practical examples, and the live assignments helped me improve my skills. I truly appreciate the guidance and support I received throughout the course and would recommend Linkplux to anyone looking to build a successful career in Digital Marketing.
"A Career-Changing Learning Experience"
The practical assignments and live projects at Linkplux helped me gain real-world experience in Data Analytics. The trainers explained every concept clearly and guided me throughout the learning journey. The hands-on approach boosted my confidence and prepared me for industry challenges. I highly recommend Linkplux to anyone looking to build a successful career in the IT field.