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Data Science

Data Science Course in Chandigarh – Enroll Now to Master Data Science

Looking to build a future-proof career in tech and analytics? Our Data Science course in Chandigarh is designed for students, professionals, and aspiring analysts aiming to master key data science skills like data analysis, statistics, machine learning, data visualization, and big data tools. Learn from expert trainers with hands-on practice in Python, SQL, and industry-standard libraries like Pandas, NumPy. Work on real-world datasets, develop analytical thinking, and solve business problems with our job-focused curriculum. We also offer resume building, mock interviews, and placement support. Join now and take the first step toward a high-growth career in Data Science!

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Data Science Course

Course duration : 3 months 

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Unlock Career Success with the Best Data Science Course in Chandigarh

Our Data Science course in Chandigarhis perfect for anyone looking to break into the world of data and analytics. This comprehensive program covers essential Data Science concepts such as data analysis, statistics, data visualization, machine learning, Python programming, SQL, and big data tools—crucial for solving real-world business problems and excelling in data-driven roles. You’ll gain hands-on experience through practical projects, case studies, and real datasets using tools like Pandas, NumPy, Scikit-learn, Matplotlib, Tableau, and more. Whether you're a student, working professional, or career switcher, this course builds a solid foundation in data science and analytical thinking. With expert mentorship, resume-building sessions, interview preparation, and placement support, you’ll be fully prepared to secure high-paying roles in the tech industry. Start your journey today with the best Data Science course in Chandigarh and unlock a future-ready career!



Why Choose The Skill Boost for Data Science Training in Chandigarh?

  • Hands-on Experience: At The Skill Boost Institute, we emphasize practical learning. Work with real datasets, build data models, and gain hands-on experience in Python, SQL, machine learning, and data visualization by solving real-world problems.
  • Experienced Trainers: Learn from industry experts with extensive experience in data science, machine learning, and AI. Our trainers bring real-life project insights and guide you from basic data handling to advanced machine learning concepts.
  • Comprehensive Curriculum: Our Data Science course covers everything you need—statistics, Python programming, data wrangling, visualization (Matplotlib, Seaborn), SQL, machine learning (Scikit-learn), and tools like Tableau and Power BI.
  • Flexible Timings: Whether you're a student or a working professional, our schedule works for you. We offer both weekday and weekend options, including our popular evening batch (6 PM to 9 PM), so you can learn without sacrificing your job or studies.
  • Special Evening Batch (6 PM to 9 PM): Perfect for working professionals and college students. Stay on track with your daily commitments while mastering the skills that make you job-ready in data science.
  • Job Placement Assistance: Go beyond training with our dedicated career support. Get help with resume building, interview preparation, and connections to hiring companies in the data science domain.
  • Affordable Training: Access premium-quality data science education at a price that doesn’t break the bank. We’re committed to making career-changing skills accessible to everyone.
  • Coding Contest & Mock Interviews: Strengthen your portfolio with real industry projects. Participate in mock interviews and analytics challenges to boost your confidence and improve job-readiness.

What Makes The Skill Boost Best Data Science Course?

The Skill Boost Institute offers a practical, industry-relevant Data Science program designed to turn learners into job-ready professionals. With expert guidance, hands-on projects, and a comprehensive curriculum covering everything from data analysis to machine learning, you’ll gain the confidence and skills needed to excel in high-demand data roles across industries.

Anyone curious about data or aiming for a career in analytics, AI, or data-driven decision-making can join this course. It’s ideal for:
  • Students and freshers aiming for careers in data science, analytics, or AI
  • Working professionals looking to transition into data roles
  • Engineers and developers wanting to expand into data and machine learning
  • Business analysts and non-tech professionals eager to upskill with data literacy
  • Tech enthusiasts who want to work with data to solve real-world problems

This course is designed to make you job-ready by teaching the core technical and analytical skills needed in data science roles, including:
  • Python for Data Analysis and Visualization
  • Data Wrangling with Pandas and NumPy
  • Data Visualization using Matplotlib and Seaborn
  • Statistics, Probability, and Hypothesis Testing
  • Machine Learning Algorithms (Regression, Classification, Clustering)
  • Model Evaluation and Deployment
  • SQL for Data Queries
  • Real-world Projects and Case Studies

Data Science is one of the most in-demand career paths in today’s tech-driven world. Organizations across all industries rely on data to make informed decisions, improve performance, and gain a competitive edge. Learning data science not only opens doors to high-paying roles but also equips you with problem-solving and analytical skills that are valuable across domains like finance, healthcare, e-commerce, and more.

This is a 3-month structured program, designed to provide deep, focused learning while allowing time for practice and project development. With our expert support and guided learning path, you can complete the course and be job-ready within 12 weeks.
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What you will Get at The Skill Boost ?

At The Skill Boost Computer Institute, we offer expert-led courses in web development, programming, and digital marketing. Benefit from hands-on training, ISO-certified programs, and flexible class timings. Gain practical experience through real-world projects and receive placement assistance to help you succeed in your tech career.

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Key Features

  • 3 Months Duration – Structured for fast and focused learning
  • Hands-On Projects & Case Studies – Work on real-world data problems and build practical skills
  • Proficiency in Python & Key Libraries – Master tools like NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, and more
  • Master Core Data Science Concepts – Data wrangling, visualization, EDA, machine learning, and more
  • In-Depth Statistics & Algorithms Training – Learn hypothesis testing, regression, clustering, classification, and other essential techniques
  • Live Problem Solving & Capstone Projects – Collaborate and solve end-to-end data science challenges
  • ISO-Certified Certificate – Earn a globally recognized qualification
  • GitHub Portfolio Building – Showcase your data science work and projects to potential employers
  • Resume & Technical Interview Prep – Get expert mentorship, resume reviews, and mock interviews
  • 100% Placement Assistance – Career support and job opportunities in top data science roles

Interested in Free Trial Classes?

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Contact +(91) 83606-86961 or +(91) 96536-75538.



Data Science Syllabus

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  • Introduction to Python & Jupyter Notebook
  • Variables, Data Types, Operators
  • Control Structures (if, loops)
  • Functions, Modules, and File Handling
  • Introduction to Libraries: NumPy, Pandas
  • Hands-on mini-project: Data Cleaning with Pandas

  • Descriptive Statistics: Mean, Median, Mode, Variance, SD
  • Probability & Probability Distributions
  • Hypothesis Testing
  • Correlation & Regression
  • Data Visualization using Matplotlib & Seaborn
  • Mini-project: Analyzing datasets (e.g., Titanic, Sales Data)

  • Data Collection Techniques (APIs, Web Scraping)
  • Handling Missing Values and Outliers
  • Data Merging, Grouping & Pivoting
  • Time Series Basics
  • Feature Engineering
  • Project: Exploratory Data Analysis (EDA) on real datasets

  • Introduction to Machine Learning
  • Linear & Logistic Regression
  • Decision Trees & Random Forest
  • K-Nearest Neighbors (KNN)
  • Model Evaluation: Accuracy, Precision, Recall, F1 Score
  • Hands-on Project: Predictive model (e.g., house prices)

  • Data Collection Techniques (APIs, Web Scraping)
  • Handling Missing Values and Outliers
  • Data Merging, Grouping & Pivoting
  • Time Series Basics
  • Feature Engineering
  • Project: Exploratory Data Analysis (EDA) on real datasets

  • Data Collection Techniques (APIs, Web Scraping)
  • Handling Missing Values and Outliers
  • Data Merging, Grouping & Pivoting
  • Time Series Basics
  • Feature Engineering
  • Project: Exploratory Data Analysis (EDA) on real datasets

Frequently Asked Questions (FAQ)

A Data Science course teaches techniques like data analysis, machine learning, and statistics to extract insights from data using tools like Python, Pandas, and NumPy.

Anyone with basic knowledge of math and programming can take the course. It’s ideal for students, professionals, and freshers looking to build a career in data science.

Basic programming knowledge (especially Python) is helpful, but many beginner-friendly courses cover programming from scratch.

Common tools include Python, Pandas, NumPy, Matplotlib, Scikit-learn, Jupyter Notebook, and data visualization tools.

Yes, Data Science is in high demand across industries, offering excellent salary packages and growth opportunities in 2025 and beyond.

Course duration typically ranges from 3 to 6 months, depending on the level and depth of training.

You’ll work on real-world projects such as predicting house prices, customer segmentation, sentiment analysis, and sales forecasting.

Yes, you will receive a certificate of completion, which can boost your resume and job prospects.

Yes, completing a practical, project-based course increases your chances of landing roles like Data Analyst, Machine Learning Engineer, or Data Scientist.

Absolutely! The course is designed for beginners and gradually moves toward advanced topics with hands-on practice.

Entry-level data scientists can earn between ₹6–10 LPA, while experienced professionals can earn ₹15 LPA or more.

You can work as a Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, or AI Specialist.

Technologies We Work With

HTML5

The standard markup language for creating web pages.

CSS3

Style sheet language for designing the layout of web pages.

Bootstrap

Popular front-end framework for responsive web design.

C

Powerful general-purpose programming language for system and application software.

C++

Extension of C language with object-oriented programming features.

PHP

Server-side scripting language for dynamic web development.

Node.js

JavaScript runtime environment for server-side applications.

JQuery

JavaScript library for simplifying web development.

Python

High-level programming language for general-purpose programming.

Java

Object-oriented programming language used for building scalable applications.

Power BI

Powerful tool for data analytics, visualization, and business intelligence.

MongoDB

Document-based NoSQL database for modern applications.

SQL

Structured Query Language for managing relational databases.

React

A JavaScript library for building user interfaces.

Express.js

Fast, unopinionated, minimalist web framework for Node.js.

Django

High-level Python web framework that encourages rapid development.

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