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Best Data Science And AI Course
Build Your Data Science and AI career with practical learning in Python, Data Analytics, ML, Deep Learning, Generative AI, SQL, and Data Visualization.
Advanced Data Science & AI Course
Linkplux offers expert-led Data Science and AI training covering Python, Data Analytics, Machine Learning, Deep Learning, Generative AI, SQL, and Data Visualization. Our Data Science and AI course emphasizes practical learning, real-world projects and industry-relevant skills to help beginners and professionals develop job-ready expertise for today's evolving technology landscape.
Data Science With AI Projects
Python, ML & AI Learning
Career & Placement Assistance
Professional Portfolio Building
Experienced Industry Mentors
Data Science & AI Certification
Course Highlights
Practical Data Science Course
Build practical expertise through real-world datasets, guided exercises, industry case studies, and project-based Data Science learning covering the complete analytical workflow.
AI & Machine Learning Concepts
Explore machine learning algorithms, artificial intelligence fundamentals, predictive analytics, deep learning, and modern AI methods used to create intelligent data-driven applications.
Professional Data Science Certification
Enhance your career profile with a Data Science and AI course certification demonstrating practical knowledge of Python, machine learning, data analytics, and analytical problem solving.
Career & Placement Guidance
Prepare for Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer roles through resume support, interview preparation, mock interviews, and career-oriented placement guidance.
Real-World Data Science Projects
Apply Python, SQL, statistics, data visualization, machine learning, and predictive modeling to practical projects using real-world datasets and industry-relevant AI and Data Science applications.
Expert-Guided Data Science Learning
Learn through structured sessions covering Python for Data Science, statistics, data analytics, ML, deep learning, and advanced artificial intelligence concepts with experienced trainers.
Data Science Portfolio Building
Develop a strong Data Science portfolio featuring Python projects, analytics reports, ML models, AI applications, dashboards, and capstone projects that demonstrate your technical abilities.
Data Science & AI Interview Preparation
Strengthen your technical interview performance with Python coding practice, AI questions, mock interviews, problem-solving exercises, and career guidance for Data Science and AI positions.
How You'll Learn
Data Science & AI Course Syllabus
Paper 1: Python Programming for Data Science & Artificial Intelligence
- Unit 1: Python Fundamentals, Syntax, Variables, Data Types, Operators and Expressions
- Unit 2: Control Flow, Loops, Functions, Modules and Object-Oriented Programming
- Unit 3: Lists, Tuples, Sets, Dictionaries and Core Python Data Structures
- Unit 4: File Handling, Exception Management, Regular Expressions and Debugging
- Unit 5: Using Python Programming for Data Science and AI Applications
Tools used in this Paper: Python, Jupyter Notebook
Paper 2: Data Analysis with NumPy & Pandas
- Unit 1: Data Science Fundamentals, Analytics Concepts and Data-Driven Decision Making
- Unit 2: NumPy Arrays, Numerical Computing, Indexing and Scientific Operations
- Unit 3: Pandas Series, DataFrames, Filtering and Data Manipulation
- Unit 4: Data Cleaning, Transformation Techniques and Missing Value Handling
- Unit 5: Importing and Analysing CSV, Excel, JSON and Practical Datasets
Tools used in this Paper: NumPy, Pandas, Jupyter Notebook
Paper 3: Statistics, Probability & Data Visualization
- Unit 1: Statistical Concepts, Data Distribution and Exploratory Data Analysis
- Unit 2: Central Tendency, Variability Measures and Statistical Interpretation
- Unit 3: Probability Concepts, Distributions and Hypothesis Testing
- Unit 4: Correlation, Regression Techniques and Statistical Relationships
- Unit 5: Data Visualization, Interactive Charts, Reporting and Business Insights
Tools used in this Paper: Python, Matplotlib, Seaborn
Paper 4: Machine Learning & Predictive Modelling
- Unit 1: Machine Learning Foundations, Algorithms and Complete ML Workflow
- Unit 2: Supervised Learning, Linear Regression, Logistic Regression and Classification
- Unit 3: Decision Trees, Random Forest, K-Nearest Neighbors and Support Vector Machines
- Unit 4: Unsupervised Learning, Clustering, PCA and Dimensionality Reduction
- Unit 5: Model Assessment, Cross-Validation, Feature Selection and Hyperparameter Tuning
Tools used in this Paper: Scikit-learn, Python, Jupyter Notebook
Paper 5: Deep Learning & Neural Network Applications
- Unit 1: Deep Learning Fundamentals, Neural Networks and AI Model Architecture
- Unit 2: Perceptrons, Activation Functions, Loss Functions and Optimization Methods
- Unit 3: Developing, Training and Evaluating Artificial Neural Networks
- Unit 4: Convolutional Neural Networks for Image Analysis and Computer Vision
- Unit 5: Recurrent Neural Networks, Sequence Models and Deep Learning Applications
Tools used in this Paper: TensorFlow, Keras, Python
Paper 6: Natural Language Processing & Artificial Intelligence
- Unit 1: NLP Fundamentals, Language Models and Practical AI Applications
- Unit 2: Text Cleaning, Tokenization, Stemming, Lemmatization and Preprocessing
- Unit 3: Feature Extraction, TF-IDF, N-Grams and Text Classification
- Unit 4: Sentiment Analysis, Named Entity Recognition and Text Analytics
- Unit 5: Large Language Models, Conversational AI and Modern NLP Applications
Tools used in this Paper: Python, NLP Libraries, Jupyter Notebook
Paper 7: Generative AI, LLMs & Prompt Engineering
- Unit 1: Generative AI Fundamentals, Large Language Models and AI Ecosystems
- Unit 2: Prompt Design, Engineering Techniques and AI-Assisted Workflows
- Unit 3: Transformers, LLM Architectures and Generative AI Applications
- Unit 4: Retrieval-Augmented Generation, Embeddings and AI Application Development
- Unit 5: Building Practical Generative AI Solutions for Industry Applications
Tools used in this Paper: Generative AI Tools, Python, LLM APIs
Paper 8: SQL, Data Engineering & AI Data Preparation
- Unit 1: SQL Fundamentals, Database Concepts, Queries and Data Retrieval
- Unit 2: Joins, Subqueries, Aggregations, Views and Advanced SQL Operations
- Unit 3: Data Extraction, Transformation, Cleaning and Feature Preparation
- Unit 4: Working with Structured, Semi-Structured and Unstructured Data
- Unit 5: Developing Data Pipelines for Analytics, Machine Learning and AI Workloads
Tools used in this Paper: SQL, MySQL, Python
Paper 9: Real-Time Data Science & AI Capstone Projects
- Unit 1: Complete Data Science Project Lifecycle from Problem Definition to Deployment
- Unit 2: Exploratory Data Analysis, Feature Engineering and Business Problem Solving
- Unit 3: Machine Learning Model Development, Testing, Evaluation and Optimization
- Unit 4: Implementing Deep Learning, AI and Generative AI Solutions for Practical Applications
- Unit 5: Model Deployment, Documentation, Presentation and Professional Portfolio Development
Tools used in this Paper: Python, Pandas, Scikit-learn, TensorFlow, Jupyter Notebook
Let's Get Started
Skills Covered
Industry-Ready Data Science & AI Tools You'll Master
Python & Data Science Tools "Master Industry-Standard Tools for Python Programming, Data Analysis, Machine Learning & AI Workflows in Chennai"
SQL & Database Tools "Develop Practical SQL Skills for Data Extraction, Database Management, Analytics & AI Data Preparation"
Machine Learning Tools "Build, Train, Evaluate & Optimise Machine Learning Models Using Popular Data Science Libraries and Real-World Use Cases"
Deep Learning & AI Tools "Learn Modern Artificial Intelligence Frameworks for Neural Networks, Deep Learning, NLP, Computer Vision & Intelligent Applications"
Generative AI Tools "Learn Generative AI, Prompt Engineering, LLM Applications, RAG, AI Agents & Automation for Future-Ready AI Careers"
Data Visualization Tools "Build Interactive Dashboards, Business Reports & Data Visualisations Using Leading BI and Python Analytics Tools"
MLOps & Cloud Tools "Learn Practical MLOps, Cloud Deployment, Model Management & Automation Skills for Data Science and AI Applications"
Analytics & Professional Tools "Develop Practical Analytics, Documentation, Collaboration & Portfolio Skills for Data Science, AI and Machine Learning Careers"
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 & Artificial Intelligence
Course is a Great Career Choice
Data Science and AI are among the most valuable technology skills, enabling organizations to transform data into insights, forecasts, and intelligent solutions. With practical Data Science and AI learning, students can develop skills in Python, SQL, ML, Deep Learning, Generative AI, analytics, and emerging AI technologies.
Growing Demand for Data Science & AI Professionals
Strong Career & Earning Potential in AI
Diverse Roles: Data Scientist, ML Engineer & AI Developer
Global Career Opportunities in Data & AI
Long-Term Growth with AI & Data Science Skills
Data Science & AI Job Roles and Annual Salary Range
Data Analytics & AI Foundation Roles
- Data Science Intern
- Data Analyst
- Junior Data Analyst
- Business Intelligence Analyst
- Junior Business Analyst
- AI Data Analyst
Data Science & Machine Learning Careers
- Data Scientist
- Machine Learning Engineer
- Data Science Associate
- Machine Learning Specialist
- Predictive Analytics Specialist
- Applied Data Scientist
AI & Deep Learning Career Paths
- AI Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- NLP Engineer
- AI/ML Engineer
- Artificial Intelligence Specialist
Generative AI & LLM Career Paths
- Generative AI Engineer
- LLM Engineer
- Prompt Engineer
- AI Application Developer
- RAG Developer
- AI Agent Developer
MLOps & AI Engineering Careers
- MLOps Engineer
- AI Platform Engineer
- ML Operations Engineer
- ML Infrastructure Engineer
- AI Deployment Engineer
- Machine Learning Architect
Senior Data Science & AI Leadership
- Lead Data Scientist
- Lead AI Engineer
- Principal Data Scientist
- AI Solutions Architect
- Head of Data Science
- Artificial Intelligence & ML Engineering Manager
Data Science & AI Career Roadmap
- Data Analyst
- Data Science Intern
- Business Intelligence Analyst
- Data Scientist
- Machine Learning Engineer
- AI Developer
- Senior Data Scientist
- Machine Learning Architect
- AI Engineer
- Data Science Manager
- AI Solutions Architect
- 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 and AI Course
Certification
A Data Science and AI course certification from Linkplux demonstrates practical knowledge of Python, SQL, statistics, Machine Learning, Deep Learning, data visualization, Generative AI, and predictive analytics. It enhances your resume, highlights project-based learning, and demonstrates career-ready skills for Data Scientist, Data Analyst, AI Engineer, ML Engineer, and Data Engineer roles.
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.