Best Data Science Course in Pune with Placement Assistance and Live Projects at i2iSpecialist Technology


COURSE INSTRUCTOR

Data Science Trainer Sandip Gadekar - Python, Machine Learning, AI and Data Analytics Expert

Sandip Gadekar

Data Science Instructor
★★★★★ (4.9)

Sandip Gadekar is a highly skilled Data Science Instructor with over 5 years of experience in Python, SQL, Machine Learning, Artificial Intelligence (AI), Deep Learning, Data Analytics, Data Visualization, and Business Intelligence. He specializes in predictive modeling, statistical analysis, data-driven decision making, and real-world business problem solving. Through hands-on training, live projects, case studies, and industry-oriented learning, he helps students, freshers, and working professionals develop practical skills and become job-ready Data Science professionals.

BASIC INFORMATION


  • Length : 6 Months
  • Level : Basic to Advanced
  • Category : Technology
  • Class Mode : Online/Offline
  • Started : 1st / 15th Every Month
  • Daily Time : 10:00 AM to 4:00 PM
  • Days : Mon - Fri
  • Class Strength: 10 / Per Batch


Data Science - Course Description

Data Science is one of the most in-demand technology domains that enables organizations to convert data into meaningful insights and strategic business decisions. This training program provides a strong foundation in Data Analytics, Statistics, Business Intelligence, and data-driven problem-solving skills essential for today's data-centric industries.

You will gain hands-on experience with Python, SQL, Machine Learning, Deep Learning, Artificial Intelligence (AI), Generative AI, Power BI, and Data Visualization. The curriculum focuses on practical learning through real-world datasets, predictive analytics, data processing, dashboard development, and industry-oriented projects that align with current industry requirements.

Enhance your practical knowledge through live projects, case studies, internship opportunities, interview preparation, and placement assistance. Build a strong professional portfolio and develop the skills required to become a job-ready Data Science professional in today's rapidly growing technology and analytics industry.

Course Syllabus

Module 1: Introduction to Data Science

  1. Introduction to Data Science
  2. Understanding the Data Science Lifecycle
  3. Role of Data Science in Modern Business
  4. Types of Data and Data Sources
  5. Data Collection and Data Preparation
  6. Statistics and Mathematics for Data Science
  7. Introduction to Python for Data Science
  8. Data Science Tools and Technologies Overview
  9. Business Intelligence and Data-Driven Decision Making
  10. Introduction to Artificial Intelligence and Machine Learning
  11. Applications of Data Science Across Industries
  12. Data Ethics and Governance
  13. Latest Trends in Data Science and AI
  14. Career Opportunities in Data Science
  15. Mini Project: Data Science Case Study
  1. Introduction to Python Programming
  2. Python Installation and Environment Setup
  3. Variables, Data Types, and Operators
  4. Control Statements and Looping Structures
  5. Functions and Modules
  6. Strings, Lists, Tuples, Sets, and Dictionaries
  7. Object-Oriented Programming (OOP) Concepts
  8. Exception Handling and File Operations
  9. Working with NumPy for Numerical Computing
  10. Data Manipulation using Pandas
  11. Data Cleaning and Data Transformation
  12. Exploratory Data Analysis (EDA)
  13. Data Visualization with Matplotlib and Seaborn
  14. Python for Data Science Applications
  15. Mini Project: Data Analysis using Python
  1. Introduction to Database Management Systems (DBMS)
  2. Understanding Relational Databases
  3. Database Design and Normalization
  4. Introduction to SQL
  5. Creating Databases and Tables
  6. SQL Queries (SELECT, INSERT, UPDATE, DELETE)
  7. Filtering, Sorting, and Grouping Data
  8. SQL Functions and Operators
  9. Joins (Inner, Left, Right, Full)
  10. Subqueries and Nested Queries
  11. Views, Indexes, and Stored Procedures
  12. Database Security and Backup Management
  13. SQL for Data Analysis and Reporting
  14. Connecting SQL with Python
  15. Mini Project: Database Design and Analytics
  1. Introduction to Data Analysis
  2. Data Collection and Data Preparation
  3. Data Cleaning and Data Transformation
  4. Exploratory Data Analysis (EDA)
  5. Data Wrangling Techniques
  6. Working with NumPy and Pandas
  7. Data Aggregation and Grouping
  8. Data Visualization with Matplotlib and Seaborn
  9. Identifying Trends and Patterns
  10. Business Data Analysis Techniques
  11. Data Interpretation and Reporting
  12. Introduction to Predictive Analytics
  13. Real-World Data Analysis Case Studies
  14. Data Analysis using Python Projects
  15. Mini Project: End-to-End Data Analysis Project
  1. Introduction to Data Visualization
  2. Importance of Data Visualization in Data Science
  3. Data Visualization Principles and Best Practices
  4. Visualizing Data with Matplotlib
  5. Advanced Visualization using Seaborn
  6. Creating Charts, Graphs, and Plots
  7. Bar Charts, Line Charts, and Pie Charts
  8. Histograms, Box Plots, and Scatter Plots
  9. Interactive Visualizations with Plotly
  10. Dashboard Development using Power BI
  11. Data Storytelling and Insight Presentation
  12. Business Intelligence and Reporting
  13. KPI and Performance Dashboard Creation
  14. Real-World Data Visualization Case Studies
  15. Mini Project: Interactive Data Visualization Dashboard
  1. Introduction to Machine Learning
  2. Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
  3. Machine Learning Workflow
  4. Data Preprocessing and Feature Engineering
  5. Training and Testing Datasets
  6. Regression Algorithms
  7. Classification Algorithms
  8. Clustering Techniques
  9. Model Evaluation and Performance Metrics
  10. Overfitting and Underfitting
  11. Feature Selection and Optimization
  12. Machine Learning with Scikit-Learn
  13. Predictive Analytics and Forecasting
  14. Real-World Machine Learning Applications
  15. Mini Project: Machine Learning Prediction Model
  1. Introduction to Artificial Intelligence (AI)
  2. Introduction to Generative AI
  3. AI vs Machine Learning vs Deep Learning
  4. Prompt Engineering Fundamentals
  5. Working with ChatGPT and AI Assistants
  6. Large Language Models (LLMs) Overview
  7. Generative AI for Data Science Applications
  8. AI-Powered Data Analysis and Automation
  9. Natural Language Processing (NLP) Basics
  10. AI-Based Image and Content Generation
  11. Building AI-Powered Chatbots
  12. Introduction to OpenAI APIs and AI Integration
  13. Ethical AI and Responsible AI Practices
  14. Real-World AI and Generative AI Use Cases
  15. Mini Project: AI-Powered Data Science Solution

Live Industry Projects & Practical Training Experience


Explore real-world industry projects designed to provide hands-on experience and practical skills through our job-oriented training programs in Pune. Students gain exposure to industry-standard tools, technologies, frameworks, project development methodologies, problem-solving techniques, and real-time business scenarios. Our industry-focused training institute in Pune emphasizes practical learning through live projects, case studies, internship opportunities, and project-based training to help students build a strong portfolio and develop job-ready technical and professional skills required by today's competitive job market.

One-to-One Data Science Training Guidance in Pune with Machine Learning, Python and AI Mentorship

Personalized One-to-One Data Science Training Guidance in Pune

Our 1-to-1 Data Science training guidance in Pune provides a personalized learning experience for students, freshers, and working professionals. This program focuses on building strong foundations in Python, Machine Learning, Deep Learning, Statistics, Data Analysis, Data Visualization, SQL, and Artificial Intelligence (AI).

Learn through hands-on projects, real-world datasets, case studies, AI-based applications, internship opportunities, interview preparation, and placement assistance. Our expert mentors guide you step-by-step with personalized feedback, resume building, and career support to help you become industry-ready.

Customized Learning Plan: A structured roadmap designed according to your skill level and career goals to ensure strong practical exposure in Data Science and AI technologies.

  • Personalized Learning Plan
  • Expert Mentorship
  • Live Data Science Projects
  • Machine Learning & AI Practice
  • Portfolio Development
  • Placement Assistance
Sandip Gadekar Data Science Trainer Pune - Machine Learning and AI Expert

Sandip Gadekar

Founder & Director


Our Successfully Placed Students

We are proud to showcase our students who have successfully transitioned into professional careers in leading IT companies across India. Each placement represents strong dedication, consistent practice, and hands-on experience gained through industry-oriented training, real-time projects, and interview preparation.
Our training programs are designed to build practical skills in technologies such as Java, Python, Angular, Software Testing, Data Analytics, and Full Stack Development. With continuous mentorship and career support, students are well-prepared to meet industry expectations and secure high-quality job opportunities.