Data Science Course in Delhi
Build in-demand data science skills through hands-on training in data analysis, visualization, machine learning, and real-world projects with our Data Science Course in Delhi.
About the Data Science Course
Data Science is one of the most in-demand skills in today’s technology-driven world, helping organizations analyze data, uncover insights, and make data-driven decisions. Our Data Science Course in Delhi provides practical training in data analysis, data visualization, machine learning, and AI through hands-on projects, preparing students for successful careers in data science and analytics.
What You Will Learn In This Course?
Data Analysis & Data Processing
Learn how to collect, clean, organize, and analyze datasets to extract meaningful insights for real-world business problems.
Data Visualization & Dashboards
Create professional charts, reports, and interactive dashboards to present data clearly using industry-standard visualization tools.
Machine Learning Fundamentals
Understand supervised and unsupervised learning techniques to build predictive models for solving practical business challenges.
SQL for Data Analytics
Learn SQL queries, joins, filtering, aggregation, and data management techniques to efficiently work with structured databases.
Business Intelligence & Reporting
Develop interactive business reports and dashboards to monitor KPIs, analyze trends, and support data-driven decision-making.
Real-World Data Science Projects
Apply your knowledge through hands-on projects, case studies, and real datasets to build a strong portfolio and practical experience.
Course Duration & Mode
Duration
6 months
Mode
Offline & Online
Batch
Weekday & Weekend
Practical Sessions Included
Data Science Course Curriculum
Topics
- Introduction to Data Science
- Python Installation & Environment Setup
- Jupyter Notebook & Google Colab
- Variables & Data Types
- Operators
- User Input & Output
- Conditional Statements
- Loops
- Functions
- Strings
- Lists
- Tuples
- Sets
- Dictionaries
- File Handling
- Exception Handling
- Object-Oriented Programming (OOP)
- Modules & Packages
Practice Programs
- Calculator
- Number Guessing Game
- ATM Simulation
- Student Grade Calculator
- Password Generator
- Library Management System
Topics
- Introduction to Databases
- MySQL Installation Database & Table Creation
- CRUD Operations
- Filtering Data
- Sorting Records
- Aggregate Functions
- GROUP BY & HAVING
- Joins
- Subqueries
- Views
- Window Functions
- SQL for Data Analysis
Mini Projects
- Employee Database
- Library Database
- Sales Database
- Student Management Database
Topics
- Mean, Median & Mode
- Probability Basics
- Variance & Standard Deviation
- Correlation
- Covariance
- Normal Distribution
- Sampling Techniques
- Hypothesis Testing
- Linear Algebra Basics
- Matrices & Vectors
- Calculus Fundamentals
NumPy Topics
- Arrays
- Indexing & Slicing
- Broadcasting
- Array Operations
- Mathematical Functions
- Random Module
Pandas Topics
- Series
- DataFrames
- Reading CSV & Excel Files
- Data Selection
- Filtering
- Sorting
- Merge & Join
- GroupBy
- Pivot Tables
- Data Transformation
Practice Datasets
- IPL Dataset
- Netflix Dataset
- Student Dataset
- Sales Dataset
- Employee Dataset
Topics
- Handling Missing Values
- Duplicate Records
- Data Formatting
- Outlier Detection
- Encoding Categorical Data
- Feature Scaling
- Feature Selection
- Feature Engineering
- Data Validation
Projects
- Customer Dataset Cleaning
- E-commerce Data Cleaning
- HR Dataset Processing
Libraries
- Matplotlib
- Seaborn
- Plotly
Topics
- Line Charts
- Bar Charts
- Pie Charts
- Histograms
- Scatter Plots
- Heatmaps
- Pair Plots
- Box Plots
- Distribution Charts
- Interactive Charts
Practice Programs
- COVID Dashboard
- Sales Dashboard
- IPL Analytics
- Student Performance Dashboard
Topics
- Understanding Business Problems
- Data Exploration
- Pattern Identification
- Correlation Analysis
- Trend Analysis
- KPI Analysis
- Business Insights
- Report Generation
- Storytelling with Data
Real Datasets
- Amazon Sales
- Netflix
- Uber
- Google Play Store
- Hotel Booking
- HR Analytics
Fundamentals
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Training
- Train-Test Split
- Cross Validation
- Bias & Variance
Regression
- Linear Regression
- Multiple Linear Regression
Classification
- Logistic Regression
- Decision Tree
- Random Forest
- Support Vector Machine (SVM)
- K-Nearest Neighbors (KNN)
- Naive Bayes
Clustering
- K-Means
- Hierarchical Clustering
Dimensionality Reduction
- Principal Component Analysis (PCA)
Model Evaluation
- Accuracy Precision
- Recall
- F1 Score
- ROC-AUC
- Confusion Matrix
- Hyperparameter Tuning
Topics
- Introduction to Deep Learning
- Artificial Neural Networks (ANN)
- TensorFlow Basics
- Keras
- Activation Functions
- Optimizers
- Loss Functions
- CNN Basics
- Image Classification
- RNN & LSTM Overview
Topics
- Power BI Interface
- Importing Data
- Data Cleaning
- Power Query
- Data Modeling
- DAX Basics
- Measures & Calculated Columns
- KPI Dashboards
- Interactive Reports
- Publishing Dashboards
Projects
- Sales Dashboard
- HR Analytics Dashboard
- Financial Dashboard
- Customer Insights Dashboard
Topics
- ChatGPT for Data Analysis
- Prompt Engineering
- AI-Assisted Data Cleaning
- AI-Assisted Visualization
- GitHub Copilot
- NotebookLM
- AI Report Generation
- Responsible AI Practices
Topics
- Git Basics
- GitHub Repository
- Version Control
- Branches & Merge
- Portfolio Creation
- Sharing Projects
- Deploying Data Science Projects
Capstone Projects
Beginner
- Student Performance Analysis
- Sales Report Dashboard
- COVID Data Analysis
- IPL Data Analysis
- Employee Performance Dashboard
Intermediate
- House Price Prediction
- Customer Churn Prediction
- Loan Approval Prediction
- Movie Recommendation System
- Stock Market Analysis
Advanced
- Credit Card Fraud Detection
- Customer Segmentation
- Sentiment Analysis
- Image Classification
- End-to-End Data Science Project
Career Preparation
- Resume Building
- LinkedIn Profile Optimization
- GitHub Portfolio Development
- Mock Interviews
- HR Interview Preparation
- SQL Interview Questions
- Python Coding Practice
- Machine Learning Interview Questions
- Placement Assistance
Meet Your Data Science Instructors
Mr. Shubhranshu Shekhar
Founder & Head Trainer
A senior instructor with 20+ years of experience in IT and development, specializing in team leadership, project management, and problem-solving. Known for mentoring talent and guiding projects that align with real industry standard
Mrs. Rumi Ranjan
Lead Trainer
An experienced educator with 10+ years of teaching in Data Analytics and Programming, holding Bachelor’s and Master’s degrees in Computer Applications along with a B.Ed. in Mathematics and Computer Science.
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Practical Based Project Training
At VSIT, students gain hands-on experience by working on real-world data science projects through practical training and industry-focused learning. Our project-based approach helps learners develop skills in data analysis, data visualization, machine learning, and business intelligence using modern tools and real datasets.
- Data Analysis Projects – Analyze, clean, and transform real-world datasets to extract meaningful insights.
- Data Visualization & Dashboards – Create interactive charts, reports, and dashboards for effective data interpretation.
- Machine Learning Projects – Build predictive models using supervised and unsupervised learning techniques.
- Power BI & Business Intelligence – Develop professional dashboards and business reports using industry-standard tools.
- End-to-End Data Science Projects – Work on real-world case studies covering data collection, analysis, visualization, and machine learning to build a job-ready portfolio.
Why Choose Data Science as a Career?
Data Science is one of the fastest-growing fields, enabling organizations to transform data into valuable insights and make smarter business decisions. At VSIT, students gain practical experience in data analysis, machine learning, data visualization, and AI through hands-on training and real-world projects.
- High Career Demand – Data science professionals are in demand across IT, finance, healthcare, e-commerce, consulting, manufacturing, and many other industries.
- Industry-Standard Tools – Learn to work with modern tools such as SQL, Power BI, NumPy, Pandas, Machine Learning, and AI technologies used by data professionals.
- Data-Driven Decision Making – Develop the skills to analyze data, identify trends, build predictive models, and solve real business problems.
- Diverse Career Opportunities – Prepare for roles such as Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, and BI Analyst.
- Practical Learning Approach – Gain hands-on experience through live datasets, case studies, capstone projects, and industry-focused assignments.
Who Should Join This Course?
Whether you’re starting your career, switching to the data domain, or looking to enhance your analytical skills, this course is designed to provide practical knowledge and industry-ready experience through hands-on learning and real-world projects.
What Are The Career Opportunities After Data Science Course ?
After completing our Data Science Course, you’ll gain practical experience in data analysis, machine learning, data visualization, business intelligence, and AI through hands-on projects and industry-focused training. These job-ready skills prepare you for a wide range of opportunities across IT, finance, healthcare, e-commerce, consulting, and other data-driven industries.
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Associate
Data Visualization Specialist
Product Analyst
Why Choose VSIT?
Learn from experienced mentors who provide practical guidance and industry insights.
Get personalized attention and better understanding through small group training sessions.
Build real skills with hands-on training focused on industry requirements effectively.
Prepare confidently for interviews with guidance, practice, and expert tips
Learn at your own pace with classes available on weekdays and weekends.
Earn industry-recognized certification that validates your skills and enhances your resume.
Frequently Asked Questions
Q1. What will I learn in this Data Science Course in Delhi?
In this Data Science Course in Delhi, you will learn data analysis, data visualization, machine learning, SQL, Power BI, AI fundamentals, and industry-standard tools through practical assignments, live projects, and real-world datasets.
Q2. Who can join this Data Science Course?
This course is suitable for students, graduates, working professionals, career switchers, and anyone interested in building a career in data science, analytics, or artificial intelligence. No prior experience in data science is required.
Q3. Does the course include practical projects?
Yes. The course includes hands-on assignments, real-world case studies, capstone projects, and portfolio-building exercises to help you apply concepts in practical business scenarios.
Q4. What career opportunities are available after completing the Data Science Course?
After completing the course, you can explore roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, Business Analyst, AI Engineer, and Data Visualization Specialist across various industries.
Q5. Will I receive placement assistance after the course?
Yes. We provide placement assistance, resume building, interview preparation, mock interviews, and career guidance to help students prepare for job opportunities in the data science industry.
Q6. Why choose VSIT for a Data Science Course in Delhi?
VSIT offers practical, industry-oriented training with experienced mentors, live projects, modern tools, small batch sizes, and personalized career support, helping students build job-ready data science skills with confidence.