AI-Powered Data Science Course

  • Online and Offline Classes
  • Certificate of Completion
  • 100% Placement assistance
  • Industry focused curriculum
  • Timely assignments
  • Mock interviews

Unlock the full potential of backend and frontend development with Java through our AI-powered data science course , designed to integrate artificial intelligence into your daily coding workflows. This empowers you to write cleaner, faster, and more efficient code — perfectly aligned with real-world industry demands.

Master real-world projects through our data science, and become job-ready with skills that combine AI, full stack development, and data science.

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    Unlock Your Data Science Potential

    Master intelligent development with AI-powered coding and smooth collaboration — built on Java’s robust and scalable foundation through our data science course in Pune.

    AI & Data Science Learning

    A comprehensive guide to building enterprise-grade applications
    with AI support—written for the next-gen developer.

    Limited Time Offer: 5% Off All Programs

    A complete guide to fast-tracking your journey of Data Science with adaptive AI support, real-time insights, and a community-first learning approach.

    Days
    Hours
    Minutes

    Features of The Data Science Course

    Our Data Science course is designed to immerse you in the art of uncovering insights, building intelligent models, and creating data-driven solutions through collaborative, hands-on learning.

    • Craft Code That Connects & Inspires

      Our AI-powered data science course in Pune is designed to immerse you in the art of building intelligent, human-centric solutions using Java and AI. This curriculum blends coding with creativity, helping you create meaningful, data-driven applications that inspire real-world impact.

    • Machine-optimized Coding & Clean Architecture

      In this AI data science training Pune program, you’ll learn to build scalable, large-scale applications using clean architecture principles. Leverage AI-assisted tools for boilerplate generation, refactoring, and auto-documentation to write high-quality, maintainable code. Perfect for learners in our data science with AI classes in Pune.

    • Intelligent Code Development & Algorithmic Intelligence

      Streamline your logic writing and algorithm development with hands-on practice using AI assistants. As part of our data science course in Pune, you'll discover how AI enhances loop efficiency, improves readability, and strengthens algorithmic thinking — key skills in data analytics and data science classes Pune.

    • The Human Element in Code: The Future of Interaction

      Our course emphasizes the responsible use of AI in software and data science. Learn to treat AI as a collaborator, not a replacement, in your development journey. With a strong focus on ethical programming, this data science with AI course in Pune prepares you to build technology that is both powerful and principled.

    Course Curriculum

    Our Ai - Powered Data Science is tailored to provide you with a comprehensive
    understanding of user-centered design principles and practices

    What You’ll Learn in Our Data Science Course

    Session

    50+

    Duration

    95hrs +

    Skill Level

    All

    Topic covered
    -Basic SQL
    • Introduction of SQL
    • DDL Statements
    • DML Statements
    • DQL statements
    -Adavanced SQL-part1
    -Aggregate Functions
    -Date functions
    -Union, Union All & Intersect Operators
    -Adavanced Sql part-2
    • Joins
    • View
    • Indexes
    • Advanced Sql part-3
    • Subqueries on sql
    • Exercise on sql

    Introduction to Python

    Variables

    Functions

    Python Operators

    -Programming constructs in python

    • Python Flow Controls
    • Conditional Statements
    • Loops

    -Python objects

    Python Collection Objects

    • Strings
    • List
    • Tuple
    • Dictionary

    -List comprehension + functions

    • List Comprehensio
    • User defined Function
    • Function Arguments
    • Lambda Functions

    -Numpy

    • Introduction to Numpy
    • NumPy Arrary
    • Creating NumPy Array
    • Array Attributes
    • Array Methods
    • Array Indexing
    • Slicing
    • Arrays Slicing Arrays
    • Array Operation
    • Iteration through Arrays

    -Pandas

    • Introduction to Pandas
    • Pandas Series
    • Creating Pandas Series
    • Accessing Series Elements
    • Filtering a Series
    • Arithmetic
    • Filtering a Series
    • Arithmetic Operations
    • Series Ranking and Sorting
    • Checking Null Values
    • Concatenate a Series

    -Visualization Part-1

    • Visualisation using Matplotlib
    • Plot Styles & Settings
    • Line Plot
    • Multiline
    • PlotMatplotlib Subplots
    • Histogram
    • Boxplot
    • Pie Chart
    • Scatter Plot

     

    -Visualization part-2

    • Visualisation using Seaborn
    • Strip Plot
    • Distribution Plot
    • Joint Plot
    • Violin Plot
    • Swarm Plot
    • Pair Plot
    • Count Plot
    • Heat Map
    • Introduction of statistics
    • introduction to Statistics
    • Random Variables
    • Descriptive Statistics
    • Measure of Central Tendency
    • Measure of Dispersion
    • Skewness and Kurtosis
    • Covariance and Correlation

    -Probability theory

    What is Probability?

    Events and Types of Events

    Sets in Probability

    Probability Basics using Python

    Conditional Probability

    Expectation and Variance

    -Probability Distributions

    -Discrete Distributions

    • Uniform
    • Bernoulli
    • Binomial
    • Poisson

    -Continuous Distributions

    • Uniform
    • Normal

    -Probability Distributions using Python

     -Hypothesis Testing

    Introduction to Hypothesis Testing

    Terminologies used in Hypothesis Testing

    Procedure for testing a Hypothesis

    Test for Population Mean

    Small Sample Tests

    Large Sample Tests
    <br

    Test for Normality

    • Introduction to Machine Learning
    • Machine Learning Modelling Flow
    • Parametric and Non-parametric Algorithms
    • Types of Machine Learning
    • Introduction of Linear Regression
    • Types of Linear Regression
    • OLS Model
    • Math behind Linear Regression Decomposition Variability
    • Metrics to Evaluate Model
    • Feature Scaling
    • Feature Selection
    • Regularisation Techniques
    • Project - Property Price Prediction
    • Class Assessment on Linear Regression
    • Intro to Logistic Regression
    • Maximum Likelihood Estimation
    • Performance Metrics
    • Performance Measures
    • Bias-Variance Tradeoff
    • Overfitting and Underfitting Problems
    • Cross Validation
    • Project - Vaccine Usage Prediction
    • Home Assignment on Logistic Regression
    • Introduction to Decision Tree
    • Entropy
    • Information Gain
    • Greedy Algorithm
    • Decision Tree: Regression
    • Gini Index
    • Tuning of Decision Tree-Pruning
    • Project - Heart Disease Prediction
    • Introduction to Random Forests
    • Averaging
    • Bagging
    • Random Forest – Why & How?
    • Feature Importance
    • Advantages & Disadvantages
    • What is Clustering?
    • Prerequisites
    • Cluster Analysis
    • K-means
    • Implementation of K-means
    • Pros and Cons of K-means
    • Application of K-means
    • Introduction to Hierarchical Clustering
    • Types of Hierarchical Clustering
    • Dendrogram
    • Pros and Cons of Hierarchical Clustering
    • Prerequisites
    • Introduction to PCA
    • Principal Component
    • Implementation of PCA
    • Case study
    • Applications of PCA
    • Understand Time Series Data
    • 2 Major Projects: Full stack applications with real-world problem-solving
    • 1 Mini Project: CLI or backend-focused functionality
    • 25+ Code Snippets: AI-enhanced utilities & components
    • 1 Design System Doc: API blueprint, entity relationships, system flow
    • 3–5 API Docs: Swagger or Postman-based documentation
    • Unit Testing Coverage: AI-generated test cases with JUnit
    • Deployment Walkthrough: Hosting with Vercel or Railway
    • Java Expertise: Build professional-grade applications using core Java and Spring Boot
    • AI Proficiency: Leverage AI to accelerate, test, and debug your code
    • Problem Solving: Tackle real-world challenges with clean, optimized code
    • Portfolio-Ready: Complete projects that showcase full stack and AI skills
    • Career Confidence: Be ready for interviews, internships, and freelance roles with job-aligned learning

    Course Completion Certificate

    Award Yourself for your Hard Work

    Upon completing the AI Powered Data Science course in Pune, you’ll receive an industry-recognized certificate to boost your design career. Proudly display your certificate and show the world that you’ve accomplished with our program.

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    Frequently Asked Questions

    Everything You Need to Know About data Science

    What is the best AI-powered data science course in Pune?

    Our AI-powered data science course in Pune is one of the most comprehensive programs, featuring tools like ChatGPT, GitHub Copilot, and LangChain. We cover everything from Python and Machine Learning to real-world capstone projects with full placement assistance.

    Yes, Felix-ITS offers 100% placement support for our AI-powered data science training in Pune, including resume building, mock interviews, and direct job referrals.

    Absolutely. This course integrates leading AI tools like ChatGPT, Copilot, LangChain, and Figma AI to help students become job-ready in 2025’s data-driven industry.

    Our course focuses on hands-on experience with AI tools, real datasets, and personalized mentorship. Unlike traditional programs, we teach AI-first workflows that modern companies now demand.

    Yes, we offer both online and offline (hybrid) options in Pune. Weekend and weekday batches are available for working professionals and students alike.

    No prior coding experience is required. Our AI-powered full stack training begins from basics in Python, SQL, and statistics, suitable for freshers and non-tech backgrounds.

    Graduates of our program have been placed in top firms like TCS, Capgemini, Infosys, and several Pune-based startups looking for AI-savvy data professionals.

    While most data analytics classes in Pune focus only on dashboards and Excel, our course adds AI-driven tools and machine learning skills, ensuring you’re ready for data science and AI jobs.

    Key modules include Python for Data Science, Machine Learning, AI tools like Copilot, Tableau & Power BI, and real-world capstone projects with deployment.

    You can enroll by booking a free career counseling call on our website. Limited seats are available in each batch in Pune, and EMI options are provided.