DATA SCIENCE CERTIFICATION AUTHORITIES

Data Science Course Features

DATA SCIENCE COURSE LEAD MENTORS

DATA SCIENCE COURSE FEE IN CHANDIGARH

Live Virtual

Instructor Led Live Online

110,000
59,451

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

66,000
34,951

  • Self Learning + Live Mentoring
  • IABAC® & NASSCOM® Certification
  • 1 Year Access To Elearning
  • 25 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Leaner assistance and support

Classroom

In - Person Classroom Training

110,000
64,451

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Classroom Sessions
  • 25 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Pay In Installments, as low as
We have partnered with the following financing companies to provide competitive finance options at as low as
0% interest rates with no hidden cost.
shopse techfino Bajaj-Finserv
Admission Closes On : 26th October 2025

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WHY DATAMITES INSTITUTE FOR DATA SCIENCE COURSE

Why DataMites Infographic

SYLLABUS OF DATA SCIENCE COURSE IN CHANDIGARH

MODULE 1: DATA SCIENCE ESSENTIALS 

 • Introduction to Data Science
 • Evolution of Data Science
 • Big Data Vs Data Science
 • Data Science Terminologies
 • Data Science vs AI/Machine Learning
 • Data Science vs Analytics

MODULE 2: DATA SCIENCE DEMO

 • Business Requirement: Use Case
 • Data Preparation
 • Machine learning Model building
 • Prediction with ML model
 • Delivering Business Value.

MODULE 3: ANALYTICS CLASSIFICATION 

 • Types of Analytics
 • Descriptive Analytics
 • Diagnostic Analytics
 • Predictive Analytics
 • Prescriptive Analytics
 • EDA and insight gathering demo in Tableau

MODULE 4: DATA SCIENCE AND RELATED FIELDS

 • Introduction to AI
 • Introduction to Computer Vision
 • Introduction to Natural Language Processing
 • Introduction to Reinforcement Learning
 • Introduction to GAN
 • Introduction to Generative Passive Models

MODULE 5: DATA SCIENCE ROLES & WORKFLOW

 • Data Science Project workflow
 • Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
 • Data Science Project stages.

MODULE 6: MACHINE LEARNING INTRODUCTION

 • What Is ML? ML Vs AI
 • ML Workflow, Popular ML Algorithms
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 7: DATA SCIENCE INDUSTRY APPLICATIONS

 • Data Science in Finance and Banking
 • Data Science in Retail
 • Data Science in Health Care
 • Data Science in Logistics and Supply Chain
 • Data Science in Technology Industry
 • Data Science in Manufacturing
 • Data Science in Agriculture

MODULE 1: PYTHON BASICS 

 • Introduction of python
 • Installation of Python and IDE
 • Python Variables
 • Python basic data types
 • Number & Booleans, strings
 • Arithmetic Operators
 • Comparison Operators
 • Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS 

 • IF Conditional statement
 • IF-ELSE
 • NESTED IF
 • Python Loops basics
 • WHILE Statement
 • FOR statements
 • BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES 

 • Basic data structure in python
 • Basics of List
 • List: Object, methods
 • Tuple: Object, methods
 • Sets: Object, methods
 • Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS 

 • Functions basics
 • Function Parameter passing
 • Lambda functions
 • Map, reduce, filter functions

MODULE 1: OVERVIEW OF STATISTICS 

 • Introduction to Statistics
 • Descriptive And Inferential Statistics
 • Basic Terms Of Statistics
 • Types Of Data

MODULE 2: HARNESSING DATA 

 • Random Sampling
 • Sampling With Replacement And Without Replacement
 • Cochran's Minimum Sample Size
 • Types of Sampling
 • Simple Random Sampling
 • Stratified Random Sampling
 • Cluster Random Sampling
 • Systematic Random Sampling
 • Multi stage Sampling
 • Sampling Error
 • Methods Of Collecting Data

MODULE 3: EXPLORATORY DATA ANALYSIS 

 • Exploratory Data Analysis Introduction
 • Measures Of Central Tendencies: Mean,Median And Mode
 • Measures Of Central Tendencies: Range, Variance And Standard Deviation
 • Data Distribution Plot: Histogram
 • Normal Distribution & Properties
 • Z Value / Standard Value
 • Empirical Rule and Outliers
 • Central Limit Theorem
 • Normality Testing
 • Skewness & Kurtosis
 • Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
 • Covariance & Correlation

MODULE 4: HYPOTHESIS TESTING 

 • Hypothesis Testing Introduction
 • P- Value, Critical Region
 • Types of Hypothesis Testing
 • Hypothesis Testing Errors : Type I And Type II
 • Two Sample Independent T-test
 • Two Sample Relation T-test
 • One Way Anova Test
 • Application of Hypothesis testing

 

MODULE 1: MACHINE LEARNING INTRODUCTION 

 • What Is ML? ML Vs AI
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 2:  PYTHON NUMPY  PACKAGE 

 • Introduction to Numpy Package
 • Array as Data Structure
 • Core Numpy functions
 • Matrix Operations, Broadcasting in Arrays

MODULE 3:  PYTHON PANDAS PACKAGE 

 • Introduction to Pandas package
 • Series in Pandas
 • Data Frame in Pandas
 • File Reading in Pandas
 • Data munging with Pandas

MODULE 4: VISUALIZATION WITH PYTHON - Matplotlib

 • Visualization Packages (Matplotlib)
 • Components Of A Plot, Sub-Plots
 • Basic Plots: Line, Bar, Pie, Scatter

MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN

 • Seaborn: Basic Plot
 • Advanced Python Data Visualizations

MODULE 6: ML ALGO: LINEAR REGRESSSION

 • Introduction to Linear Regression
 • How it works: Regression and Best Fit Line
 • Modeling and Evaluation in Python

MODULE 7: ML ALGO: LOGISTIC REGRESSION

 • Introduction to Logistic Regression
 • How it works: Classification & Sigmoid Curve
 • Modeling and Evaluation in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING

 • Understanding Clustering (Unsupervised)
 • K Means Algorithm
 • How it works : K Means theory
 • Modeling in Python

MODULE 9: ML ALGO: KNN

 • Introduction to KNN
 • How It Works: Nearest Neighbor Concept
 • Modeling and Evaluation in Python

MODULE 1: FEATURE ENGINEERING 

 • Introduction to Feature Engineering
 • Feature Engineering Techniques: Encoding, Scaling, Data Transformation
 • Handling Missing values, handling outliers
 • Creation of Pipeline
 • Use case for feature engineering

MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

 • Introduction to SVM
 • How It Works: SVM Concept, Kernel Trick
 • Modeling and Evaluation of SVM in Python

MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)

 • Building Blocks Of PCA
 • How it works: Finding Principal Components
 • Modeling PCA in Python

MODULE 4:  ML ALGO: DECISION TREE 

 • Introduction to Decision Tree & Random Forest
 • How it works
 • Modeling and Evaluation in Python

MODULE 5: ENSEMBLE TECHNIQUES - BAGGING 

 • Introduction to Ensemble technique 
 • Bagging and How it works
 • Modeling and Evaluation in Python

MODULE 6: ML ALGO: NAÏVE BAYES

 • Introduction to Naive Bayes
 • How it works: Bayes' Theorem
 • Naive Bayes For Text Classification
 • Modeling and Evaluation in Python

MODULE 7: GRADIENT BOOSTING, XGBOOST

 • Introduction to Boosting and XGBoost
 • How it works?
 • Modeling and Evaluation of in Python

MODULE 1: TIME SERIES FORECASTING - ARIMA 

 • What is Time Series?
 • Trend, Seasonality, cyclical and random
 • Stationarity of Time Series
 • Autoregressive Model (AR)
 • Moving Average Model (MA)
 • ARIMA Model
 • Autocorrelation and AIC
 • Time Series Analysis in Python 

MODULE 2: SENTIMENT ANALYSIS 

 • Introduction to Sentiment Analysis
 • NLTK Package
 • Case study: Sentiment Analysis on Movie Reviews

MODULE 3: REGULAR EXPRESSIONS WITH PYTHON 

 • Regex Introduction
 • Regex codes
 • Text extraction with Python Regex

MODULE 4:  ML MODEL DEPLOYMENT WITH FLASK 

 • Introduction to Flask
 • URL and App routing
 • Flask application – ML Model deployment

MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL

 • MS Excel core Functions
 • Advanced Functions (VLOOKUP, INDIRECT..)
 • Linear Regression with EXCEL
 • Data Table
 • Goal Seek Analysis
 • Pivot Table
 • Solving Data Equation with EXCEL

MODULE 6:  AWS CLOUD FOR DATA SCIENCE

 • Introduction of cloud
 • Difference between GCC, Azure, AWS
 • AWS Service ( EC2 instance)

MODULE 7: AZURE FOR DATA SCIENCE

 • Introduction to AZURE ML studio
 • Data Pipeline
 • ML modeling with Azure

MODULE 8:  INTRODUCTION TO DEEP LEARNING

 • Introduction to Artificial Neural Network, Architecture
 • Artificial Neural Network in Python
 • Introduction to Convolutional Neural Network, Architecture
 • Convolutional Neural Network in Python

MODULE 1: DATABASE INTRODUCTION 

 • DATABASE Overview
 • Key concepts of database management
 • Relational Database Management System
 • CRUD operations

MODULE 2:  SQL BASICS

 • Introduction to Databases
 • Introduction to SQL
 • SQL Commands
 • MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS 

 • Numeric, Character, date time data type
 • Primary key, Foreign key, Not null
 • Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL) 

 • Create database
 • Delete database
 • Show and use databases
 • Create table, Rename table
 • Delete table, Delete table records
 • Create new table from existing data types
 • Insert into, Update records
 • Alter table

MODULE 5: SQL JOINS 

 • Inner Join, Outer Join
 • Left Join, Right Join
 • Self Join, Cross join
 • Windows function: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES 

 • Select, Select distinct
 • Aliases, Where clause
 • Relational operators, Logical
 • Between, Order by, In
 • Like, Limit, null/not null, group by
 • Having, Sub queries

MODULE 7 : DOCUMENT DB/NO-SQL DB 

 • Introduction of Document DB
 • Document DB vs SQL DB
 • Popular Document DBs
 • MongoDB basics
 • Data format and Key methods

MODULE 1: GIT  INTRODUCTION 

 • Purpose of Version Control
 • Popular Version control tools
 • Git Distribution Version Control
 • Terminologies
 • Git Workflow
 • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

 • Git Repo Introduction
 • Create New Repo with Init command
 • Git Essentials: Copy & User Setup
 • Mastering Git and GitHub

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

 • Code Commits
 • Pull, Fetch and Conflicts resolution
 • Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

 • Organize code with branches
 • Checkout branch
 • Merge branches
 • Editing Commits
 • Commit command Amend flag
 • Git reset and revert

MODULE 5: GIT WITH GITHUB AND BITBUCKET

 • Creating GitHub Account
 • Local and Remote Repo
 • Collaborating with other developers

MODULE 1: BIG DATA INTRODUCTION 

 • Big Data Overview
 • Five Vs of Big Data
 • What is Big Data and Hadoop
 • Introduction to Hadoop
 • Components of Hadoop Ecosystem
 • Big Data Analytics Introduction

MODULE 2 : HDFS AND MAP REDUCE 

 • HDFS – Big Data Storage
 • Distributed Processing with Map Reduce
 • Mapping and reducing stages concepts
 • Key Terms: Output Format, Partitioners,
 • Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION 

 • PySpark Introduction
 • Spark Configuration
 • Resilient distributed datasets (RDD)
 • Working with RDDs in PySpark
 • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

 • Introducing Spark SQL
 • Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS 

 • Introduction to Business Intelligence & Introduction to Tableau
 • Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
 • Bar chart, Tree Map, Line Chart
 • Area chart, Combination Charts, Map
 • Dashboards creation, Quick Filters
 • Create Table Calculations
 • Create Calculated Fields
 • Create Custom Hierarchies

MODULE 2:  POWER-BI BASICS

 • Power BI Introduction 
 • Basics Visualizations
 • Dashboard Creation
 • Basic Data Cleaning
 • Basic DAX FUNCTION

MODULE 3 : DATA TRANSFORMATION TECHNIQUES 

 • Exploring Query Editor
 • Data Cleansing and Manipulation:
 • Creating Our Initial Project File
 • Connecting to Our Data Source
 • Editing Rows
 • Changing Data Types
 • Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES 

• Connecting to a CSV File
 • Connecting to a Webpage
 • Extracting Characters
 • Splitting and Merging Columns
 • Creating Conditional Columns
 • Creating Columns from Examples
 • Create Data Model

OFFERED DATA SCIENCE COURSES IN CHANDIGARH

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN CHANDIGARH

DataMites, a globally acknowledged leader in data science training, provides comprehensive programs tailored to meet the aspirations of budding data scientists. Renowned for its focus on hands-on learning, industry-aligned projects, and career advancement support, DataMites has emerged as the trusted choice for data science courses in Chandigarh with placement.

The Certified Data Scientist Course in Chandigarh offered by DataMites is an exceptional program accredited by IABAC and NASSCOM FutureSkills. Designed to align with global industry standards, this 8-month intensive course is available in both online and offline formats. With two state-of-the-art offline training centers in Chandigarh, learners benefit from an ideal mix of classroom learning, practical training, and real-world project exposure. The program is meticulously structured to cater to both freshers and experienced professionals, offering dedicated support for resume building, interview preparation, and job placements, equipping students with the skills to thrive in the dynamic field of data science.

Data Science Training in Chandigarh: Empower Your Career with DataMites

In a data-driven era, the ability to analyze and derive insights from data has become a vital skill. The global data science platform market, valued at $81.47 billion in 2022, is projected to reach $484.17 billion by 2029, growing at an impressive CAGR of 29.0% (Source: Fortune Business Insights). This exponential growth underscores the critical role of data science as a driver of business intelligence and innovation. In India, the demand for data science professionals is particularly high, with the country experiencing rapid digitalization across sectors such as e-commerce, healthcare, finance, and government services. According to a report by Analytics India Magazine, India’s analytics industry is expected to create over 11 million job opportunities by 2026, with a 30% annual growth rate in data science roles. This presents a wealth of career prospects for those entering the field, making data science a crucial skill for the modern workforce.

Chandigarh is emerging as a key tech hub in India, offering ample opportunities for aspiring data scientists. With a growing number of educational institutions, tech startups, and a booming IT sector, the city fosters innovation and skill development. DataMites, a leading data science institute in Chandigarh, provides top-tier data science training in Chandigarh to help learners excel in this high-demand field. The city’s proximity to Delhi and Punjab, along with its 18% annual growth rate in IT, makes it an ideal location for data science training and career advancement.

Why Chandigarh is Ideal for Data Science Courses

Known for its well-planned infrastructure, vibrant job market, and robust educational ecosystem, Chandigarh is emerging as a prominent hub for data science education. Here are the key reasons why Chandigarh is an excellent location to pursue a career in data science:

1. Booming IT Ecosystem

Chandigarh has solidified its position as a growing IT hub, hosting renowned companies like Tech Mahindra, Infosys, Deloitte, and Net Solutions. These organizations increasingly rely on data-driven decision-making, creating ample opportunities for data scientists, machine learning engineers, and analysts.

2. High Demand for Data Science Experts

The demand for data science professionals in Chandigarh is steadily increasing, with platforms like LinkedIn currently listing over 5,000 job openings, ranging from Data Analyst to Artificial Intelligence Specialist roles. According to AmbitionBox, Data Scientists in Chandigarh earn between INR 4Lakhs and INR 22Lakhs annually, with an average salary of INR 19Lakhs for professionals with 1 to 6 years of experience, based on 117 recent salary reports.

3. Affordable Cost of Living

Compared to metro cities like Bangalore and Delhi, Chandigarh offers a relatively cost-effective living environment, making it an attractive choice for students and professionals pursuing data science courses in Chandigarh offline or online.

4. Strong Educational and Learning Environment

Chandigarh boasts a legacy of academic excellence, with reputed institutions and research centers fostering a culture of professional development. This environment makes the city a hotspot for specialized certifications and training programs like those provided by DataMites.

5. Strategic Connectivity and Lifestyle

With its proximity to Delhi and excellent connectivity, Chandigarh serves as a strategic hub for learners and professionals. The city’s blend of modern infrastructure and a serene lifestyle provides the perfect backdrop for focused learning and career growth.

Key Data Science Job Roles in Chandigarh and Essential Skills

As Chandigarh’s IT ecosystem thrives, professionals skilled in data science are finding ample opportunities in diverse industries. Some of the key job roles include:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Business Intelligence Analyst
  4. Data Analyst
  5. AI Specialist

Professionals in these roles are tasked with analyzing complex datasets, developing predictive models, and generating actionable business insights. To succeed in Chandigarh’s competitive market, expertise in the following areas is crucial:

  1. Programming Languages: Proficiency in Python, R, or SQL is essential for data manipulation and analysis.
  2. Machine Learning: Deep knowledge of algorithms like Decision Trees, Neural Networks, and Linear Regression.
  3. Data Visualization Tools: Proficiency in tools such as Tableau, Power BI, and Matplotlib.
  4. Big Data Technologies: Familiarity with frameworks like Hadoop, PySpark, and MongoDB.
  5. Statistics and Mathematics: A solid understanding of statistical analysis and applied mathematics.
  6. Soft Skills: Critical thinking, problem-solving, and effective communication are equally important for presenting insights and collaborating with stakeholders.

Why Choose DataMites for Data Science Training in Chandigarh?

DataMites stands out as a leading data science institute in Chandigarh, offering a curriculum designed to meet global industry standards. Key benefits include:

  1. Global Accreditations: Certifications recognized by IABAC and NASSCOM FutureSkills.
  2. Expert Trainers: Industry leaders, including AI expert Ashok Veda, provide guidance.
  3. Flexible Learning: Options for live online classes and offline data science courses in Chandigarh.
  4. Real-World Exposure: 20 capstone projects and a client project ensure hands-on learning.
  5. Placement Assistance: A dedicated team offers robust support for job placements and career transitions.

DataMites Offline Center in Chandigarh

DataMites operates a premier offline data science training center in Chandigarh, located at Workcave Coworking, SCO 301-302, Level LG, 35B, Chandigarh, 160022. Conveniently positioned in a well-connected area, the center serves both aspiring students and working professionals seeking quality-driven data science education.

Chandigarh’s growing reputation as a technology and education hub, combined with its vibrant learning atmosphere, makes it an ideal location for pursuing data science training. The offline data science course in Chandigarh emphasizes interactive classroom sessions, personalized guidance, and hands-on project experience, equipping learners with the practical expertise needed to excel in real-world data science roles.

Comprehensive 3-Phase Learning Methodology

To deliver an immersive learning experience, DataMites follows a structured 3-Phase Learning Methodology:

Phase 1: Pre-Course Study Students begin their learning journey with high-quality video tutorials and comprehensive study materials, establishing a strong foundation in data science concepts.

Phase 2: Intensive Training Over three months, learners engage in 20 hours of weekly immersive training through live online or offline data science courses in Chandigarh. This phase focuses on industry-relevant projects, hands-on assignments, and expert mentorship.

Phase 3: Internship & Placement Support Students complete 20 capstone projects and one client project, earning a prestigious internship certification. The Placement Assistance Team (PAT) ensures students are job-ready and facilitates connections with top employers.

Comprehensive Curriculum for Data Science Training Program in Chandigarh

DataMites provides data science courses in Chandigarh designed to suit learners of all skill levels, career paths, and specialization preferences, ensuring a balanced blend of conceptual understanding and practical expertise.

  1. Data Science: Gain in-depth knowledge of analytics types, exploratory data analysis (EDA), Tableau, data science workflows, professional roles, fundamentals of machine learning, artificial intelligence, natural language processing (NLP), computer vision (CV), reinforcement learning (RL), generative adversarial networks (GANs), and real-world industry applications.
  2. Python: Learn essential programming concepts such as variables, data types, control structures, loops, functions, and lambda expressions, along with popular libraries including NumPy, Pandas, Matplotlib, and Seaborn.
  3. Statistics: Study descriptive and inferential statistics, sampling techniques, EDA, measures of central tendency, variance, correlation, and hypothesis testing to build a strong analytical foundation.
  4. Machine Learning: Get hands-on training in regression, classification, clustering, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, XGBoost, PCA, feature engineering, and model deployment using Flask, Azure, or AWS.
  5. Database Management: Learn to work with SQL and NoSQL databases, perform CRUD operations, and utilize joins effectively.
  6. Version Control: Master Git and GitHub for project collaboration, including branching, merging, and version tracking.
  7. Big Data: Explore Hadoop, HDFS, MapReduce, and PySpark to handle and analyze large datasets efficiently.
  8. Business Intelligence Tools: Develop proficiency in Power BI, Tableau, and dashboard creation to build impactful data visualizations.

Learners can choose from flexible training modes, including classroom sessions at our Chandigarh center, live online classes, and access to high-quality recorded lectures, ensuring a seamless and personalized learning experience that fits their individual schedules.

Specialized Data Science Certifications

Alongside the Certified Data Scientist Course, DataMites in Chandigarh offers a range of specialized certifications, including:

  1. Data Science for Managers: Designed for professionals in leadership positions, this program enables you to use data effectively for strategic decision-making.
  2. Python for Data Science: A beginner-friendly course that teaches Python, one of the most popular languages in data science, providing a solid foundation for data analysis and visualization.
  3. Statistics for Data Science: Build a strong statistical foundation, essential for data analysis, hypothesis testing, and developing robust machine learning models.
  4. Domain-Specific Data Science: These programs focus on applying data science techniques in specific sectors such as HR, finance, and marketing.

Data Science Tools and Techniques

Data science training in Chandigarh emphasizes the core tools and techniques driving today’s data-centric world, offering extensive hands-on experience through projects and real-world case studies. Whether learners opt for a data science or data analytics course, the curriculum is carefully structured to build practical, industry-ready skills.

  1. Python: Master programming for data manipulation, analysis, and automation.
  2. Pandas: Learn to clean, organize, and prepare datasets efficiently.
  3. TensorFlow: Develop and train robust machine learning and deep learning models.
  4. Tableau: Create interactive dashboards that convert complex data into meaningful insights.
  5. Power BI: Design dynamic visual reports to support data-driven decision-making.
  6. Advanced Excel: Apply advanced formulas, pivot tables, and data modeling for better productivity.
  7. PySpark: Work with large datasets using distributed computing methods.
  8. Hadoop: Manage extensive data storage and processing tasks effectively.
  9. MongoDB: Handle unstructured NoSQL data to build flexible and scalable database systems.

At the DataMites Chandigarh center, learners gain practical exposure to these tools both individually and collectively, developing the confidence and competence to solve real-world data challenges successfully.

Eligibility for a Data Science Course in Chandigarh

Data science programs in Chandigarh are designed to cater to learners from a wide range of academic and professional backgrounds. DataMites ensures flexible eligibility criteria, making its courses accessible to both beginners and working professionals.

  1. Educational Background: A bachelor’s degree in any discipline is generally sufficient. While degrees in engineering, computer science, mathematics, statistics, or economics are common among learners, they are not mandatory.
  2. Basic Computer Skills: Familiarity with computers, spreadsheets, and general software tools is essential.
  3. Analytical Mindset: An interest in problem-solving, logical reasoning, and data handling is highly advantageous.
  4. Programming Knowledge: Prior exposure to Python, R, or SQL can be helpful, although beginner-level courses start from the basics.
  5. For Specialized or Advanced Courses: Some prior understanding of statistics, mathematics, or programming may be required.

Whether starting with data analyst training or advancing into specialized data science roles, courses in Chandigarh provide a strong foundation and practical skills to thrive in this fast-evolving field.

Internship & Placement Support in Chandigarh

DataMites emphasizes the importance of practical experience and offers a comprehensive data science course in Chandigarh with placement assistance. The course is designed to equip students with the necessary skills and knowledge for a successful career in data science. By incorporating internships into the curriculum, DataMites ensures that students tackle real-world challenges and gain hands-on experience, which is essential for their professional growth.

These data science courses in Chandigarh with internships provide students with the opportunity to work on industry-related projects, enhancing their problem-solving abilities and technical proficiency. The Placement Assistance Team plays a key role in helping students transition smoothly into the job market. They offer personalized support in resume building, interview preparation, and connecting students with potential employers, ensuring they are well-prepared for roles such as Data Scientist, Data Analytics, Machine Learning Engineer, and more. This holistic approach enhances students' job readiness and significantly increases their chances of securing a position in the competitive field of data science.

DataMites Institute offers a comprehensive range of programs, including Data Analytics, Machine Learning, Python training, MLOps, Data Engineering, and Artificial Intelligence courses. Each program is carefully designed to align with industry requirements, providing learners with the knowledge and practical experience needed to advance their careers in data science.

In addition to Chandigarh, DataMites conducts offline data science courses in Bangalore, Coimbatore, Hyderabad, Pune, Chennai, and Ahmedabad. Its online programs allow learners to study from anywhere while receiving expert guidance and hands-on training. You can join us at the Chandigarh center or opt for online learning to kickstart your data science journey.

DESCRIPTION OF DATA SCIENCE COURSE IN CHANDIGARH

Anyone with a basic understanding of mathematics and programming can learn data science. Chandigarh residents interested in a data-driven career can pursue these courses. Students, professionals, and career changers can benefit from data science training.

As per AmbitionBox, Data Scientists in Chandigarh have an annual salary range of INR 3 Lakhs to INR 22 Lakhs, with professionals having 1 to 6 years of experience earning an average of INR 20 Lakhs, according to 117 recent salary submissions.

Focus on building a strong foundation in mathematics, statistics, and programming. Practice with real-world datasets and contribute to open-source projects. Supplement learning with online courses, workshops, and networking with data science professionals.

The duration of Data Science courses in Chandigarh varies from 3 months to 1 year, depending on the program type. Short-term courses focus on fundamentals and hands-on training, while longer programs offer in-depth learning and advanced concepts. Learners can choose based on their career goals and experience level.

There are several institutes offering Data Science courses in Chandigarh, but DataMites stands out as the best. It provides comprehensive training, industry-recognized certifications, and hands-on projects to enhance practical skills. With expert mentorship and career support, DataMites helps learners build a strong foundation in Data Science.

The Data science Course in Chandigarh has a strong scope, with growing demand across IT, startups, and government sectors. Skilled professionals can expect competitive salaries and diverse roles, while local universities and training institutes support industry-ready education. The future outlook remains promising due to increasing adoption of AI and data-driven technologies.

The Certified Data Scientist Course is one of the best Data Science programs available in Chandigarh. It covers machine learning, deep learning, statistics, and real-world projects, providing industry-relevant skills. This certification enhances career prospects by preparing learners for data-driven roles across various industries.

Yes, data science jobs are still in high demand globally, driven by AI and data-driven decision-making across industries. Skilled professionals in Python, machine learning, and data visualization have strong career prospects. The field is expected to grow rapidly in the coming years.

Yes, non-engineering graduates can transition into data science. Relevant skills like statistics and programming can be learned through various courses and self-study. Demonstrating these skills through projects and portfolios is key for career transitions.

To become a data scientist in Chandigarh, start with a relevant degree and build skills in Python, machine learning, and data analysis. Join reputed training institutes for hands-on projects and certifications, then gain practical experience through internships or real-world projects. Networking and applying for local data science roles can help launch your career.

Data science programs in Chandigarh typically require a bachelor's degree in a related field like computer science, statistics, or mathematics. Some institutions may also consider candidates with relevant work experience. Specific program requirements vary, so checking with individual institutions is recommended.

The Data Science course fees in Chandigarh typically range from INR 15,000 to INR 2,50,000, depending on the institute, program duration and whether the course is online, classroom-based or hybrid.

Yes, coding proficiency is essential for a career in Data Science, as it allows professionals to work with data manipulation, analysis, and machine learning models. Python and R are the most commonly used languages. While some roles may require less coding, a basic understanding of programming will always be beneficial in this field.

To become a Data Scientist, key skills include programming (primarily in Python or R), data analysis using tools like Pandas and SQL, and proficiency in machine learning algorithms. A solid understanding of statistics and data visualization is also crucial for interpreting and presenting data insights. Strong problem-solving abilities and domain knowledge will further enhance career success.

The key components of Data Science include data collection and data cleaning to ensure quality data, data analysis to derive meaningful insights, and machine learning to build predictive models. Statistics plays a crucial role in understanding and interpreting data patterns. Additionally, data visualization is essential for effectively communicating findings.

  1. Programming Languages: Python, R, SQL
  2. Data Manipulation & Analysis: Pandas, NumPy, SQL
  3. Data Visualization: Matplotlib, Seaborn, Tableau, Power BI
  4. Machine Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  5. Big Data Tools: Hadoop, Spark
  6. Cloud Computing: AWS, Azure, GCP

Data Science is widely used across industries like finance, where it helps with fraud detection and risk management. The healthcare industry leverages it for predictive analytics and personalized treatment plans. E-commerce, retail, and manufacturing also rely on data science for customer insights, supply chain optimization, and predictive maintenance.

Data science ethics involves concerns like data privacy and security, ensuring responsible use of personal information. Bias in algorithms and models can lead to unfair or discriminatory outcomes. Transparency and explainability are crucial for building trust and accountability in data-driven decisions.

A data scientist analyzes and interprets data to generate insights and build predictive models, focusing on statistics and machine learning. A data engineer, on the other hand, builds and maintains the data infrastructure and pipelines needed to store and process data efficiently.

Common challenges in Data Science include dealing with incomplete or dirty data, which can lead to inaccurate analysis. Ensuring data privacy and security is another concern, especially with sensitive information. Additionally, model interpretability and bias in algorithms can hinder trust and fairness in the results.

AI and Machine Learning play a central role in data science by enabling systems to analyze large datasets, identify patterns, and make predictions automatically. They help data scientists build predictive models, automate decision-making, and extract actionable insights from complex data efficiently.

Data science freshers can explore roles such as Data Analyst, Junior Data Scientist, Business Intelligence Analyst, Machine Learning Intern, and Data Engineer Trainee. These positions allow beginners to work on data cleaning, analysis, visualization, and basic model building while gaining industry experience.

Latest trends in Data Science include the growing use of Artificial Intelligence (AI) and Machine Learning for predictive analytics and automation. Natural Language Processing (NLP) is gaining traction in understanding human language and text. Additionally, edge computing and cloud-based analytics are enabling faster, real-time data processing and collaboration across industries.

SQL is crucial for data science, enabling efficient data retrieval and manipulation from databases. It allows data scientists to query, filter, and aggregate data for analysis and model building. SQL skills are essential for accessing and preparing data for data science projects.

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FAQ’S OF DATA SCIENCE TRAINING IN CHANDIGARH

DataMites Data Science courses cater to a broad audience, including professionals seeking career transitions and fresh graduates. Individuals with a basic understanding of mathematics and programming are generally eligible. Specific prerequisites may vary depending on the course level and focus.

DataMites Chandigarh offers a 100% refund if you request cancellation within one week of the course start date, provided you've attended at least two sessions. Refunds are processed within 5-7 business days after the request is made. Please note that refunds are not available after six months from the course enrollment date.

Yes, DataMites Chandigarh offers a data science course that includes an internship. This provides students with hands-on experience, applying theoretical knowledge to real-world problems. The internship helps enhance practical skills and increases employability in the data science field.

Yes, DataMites Chandigarh offers EMI options for the data science course. This allows students to pay the course fees in manageable monthly installments. It makes the learning experience more accessible and flexible for those who prefer an easy payment plan.

The data science course fee in Chandigarh depends on the chosen learning mode: live online training is around INR 60,000, classroom programs cost approximately INR 65,000, and blended options are available for about INR 35,000. For exact details, it is recommended to contact the Chandigarh center directly.

Yes, DataMites Chandigarh offers a data science course with placement assistance. The program is designed to equip students with the necessary skills and help them secure job opportunities in the field. Placement support includes guidance, interview preparation, and connections with top employers.

DataMites data science syllabus typically covers statistics, programming (like Python or R), and machine learning. It also includes modules on data visualization, data mining, and often big data technologies. Specific topics may vary depending on the course and certification level.

DataMites Chandigarh offers both online and offline Data Science courses, allowing students to select the learning mode that best fits their schedule and preferences. The curriculum and quality of instruction remain consistent across both formats. The Chandigarh center is located at Workcave Coworking, SCO 301-302, Level LG, 35B, Chandigarh, 160022, providing convenient access for students and working professionals.

Yes, DataMites Chandigarh offers a free demo class for its data science courses. This allows prospective students to get a feel for the course structure and teaching style before enrolling. It’s a great opportunity to make an informed decision about your learning path.

DataMites offers data science courses in Chandigarh with comprehensive curriculum, experienced instructors, and placement assistance. Their programs cover in-demand skills and tools, preparing individuals for data science roles. Choosing DataMites can provide a structured learning path and career support in this field.

Yes, DataMites Chandigarh offers courses that include live projects, providing students with practical experience in real-world scenarios. This hands-on approach enhances learning and prepares students for industry challenges. It ensures that learners gain valuable skills to excel in their data science careers. 

DataMites' data science trainers are industry experts with extensive experience in the field. They possess in-depth knowledge of data science concepts and practical applications. Trainers are dedicated to providing comprehensive training and mentorship to students.

DataMites Chandigarh is easily accessible to individuals from nearby areas such as Mohali (160055), Panchkula (134109), Zirakpur (140603), Kharar (140301), and Dera Bassi (140507). The center is also conveniently located for those from various sectors within Chandigarh, including Sector 17 (160017), Sector 22 (160022), Sector 35 (160035), Sector 43 (160043), and Sector 47 (160047). These locations are well-connected, making it easy for students to travel for their data science courses. Chandigarh itself is a rapidly growing tech hub with increasing demand for data science professionals across industries like IT, healthcare, and finance. The scope for data science in Chandigarh is high, with many organizations seeking skilled experts in AI, machine learning, and analytics to drive business innovation.

The DataMites Data Science course in Chandigarh has a duration of 8 months, encompassing 700 learning hours. This comprehensive program covers various aspects of data science, providing students with in-depth knowledge and practical experience. It is designed to equip learners with the skills needed to excel in the data science field.

DataMites offers several payment options for course enrollment, including debit/credit cards (Visa, MasterCard, American Express) and PayPal. After the payment is completed, you will receive the course materials and a confirmation of your registration. Additionally, an educational counselor is available to assist you throughout the process.

A Certified Data Scientist course provides structured training in data science principles and techniques. These courses often cover programming, statistics, machine learning, and data visualization. Certification can validate skills and enhance career prospects in the data science field.

Yes, DataMites Chandigarh offers course certification upon successful completion of the Data Science program. The certification is awarded by recognized bodies such as IABAC® and NASSCOM® FutureSkills. This credential helps validate your skills and improves career opportunities in the data science field.

DataMites offers both live and recorded online classes for its data science courses. Live sessions provide real-time interaction with trainers, while recorded classes allow flexibility to review the material at your convenience. This blended approach ensures comprehensive learning for all students.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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