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Data Science Course in Delhi

92,113 Ratings

This data science course in Delhi in association with iHUB, IIT Roorkee (An Innovation Hub of IIT Roorkee) offers you a clear understanding of machine learning, Tableau, Python, PySpark, Git, MLOps, etc. Acquire expertise in these concepts by working on real-world projects and case studies. Get the best data science training in Delhi to become a certified data scientist.

Ranked #1 Data Science Course by India TV

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Key Highlights

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Roorkee Faculty and Industry Practitioners
1:1 with Industry Mentors and 24*7 Support
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IIT Roorkee
No-cost EMI Option
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Data Science Course in Delhi Overview

What will you learn from this data science course in Delhi?

Intellipaat is a premier institute for online data science course in Delhi, which helps you master data science concepts such as:

  • Data Science projects, analytics, and recommender systems
  • Git, Storytelling
  • Analysis segmentation using clustering and the technique of prediction.
  • Python with Data Science
  • Machine Learning algorithms
  • Natural Language Processing and its applications
  • Data analysis, project life cycle, and Data Science in the real world
  • Data Science at scale with PySpark, AI with TensorFlow
  • Microsoft Excel for data analysis and data transformation
  • Techniques of evaluation, experimentation, and project deployment
  • Deploying Machine Learning models on Clouds (MLOps)
  • Data visualization with Tableau

The data science job market in Delhi is very hot right now, with many companies hiring for data scientists at various levels of experience. Here are some of the most in-demand data science jobs that you can pursue after completing this data science course in Delhi:

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Data Engineer
  • Natural Language Processing Engineer
  • As per Glassdoor, the average income of Data Scientists in Delhi is about ₹10 Lakhs per year
  • LinkedIn has over 10,000+ Data Science job opportunities in
  • Data Scientist is the best job of the 21st century – Harvard Business Review
  • The global Big Data market to reach US$122 billion in revenue in 6 years – Frost & Sullivan
  • The number of jobs for all the US data professionals will increase to 2.7 million per year – IBM

Data science can help you upgrade your career if you choose the right data science program. Today, almost all industry verticals, regardless of their customer orientation, are actively hiring Data Scientists, making it very worthwhile to get certified in this Data Science training in Delhi.

It is beneficial to have a fundamental-level understanding of mathematics for this data science training in Delhi.

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With data collection, ‘the sooner, the better’ is the best answer. - The CEO of Yahoo
Everything is going to be connected with data and mediated by software - The CEO of Microsoft
The world is now awash in data, and we can see consumers more cleanly - The Co-founder of PayPal

Career Transition

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Data Science Mentors

Who Can Apply for the Data Science Course in Delhi?

  • Information Architects and Statisticians
  • Developers looking to master Machine Learning and Predictive Analytics
  • Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
  • Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
  • Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Who can apply

What roles can you play after completing this Data Science Course in Delhi?

Data Scientist

Design and implement scalable codes alongside effectively developing high-quality applications.

Analytics and Insights Analyst

Develop solutions for fixing quality issues in the data upon investigating the reported errors in the data.

AI & ML Engineer

Use Lambda functions and API Gateway to integrate machine learning models into web apps and deploy models in SageMaker.

Data Engineer & Data Analyst

Perform data cleansing, and data transformation, analyze the outcomes, and present the insights in reports and dashboards.

Junior Data Scientist

Analyze the operating behavior using advanced statistical techniques and tools. Also, create algorithms with prescriptive and descriptive methods.

Applied Scientist

Derive intelligence for business products through designing and developing machine learning models.

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Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

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Tools Covered

pyspark python jupyter Scipy numpy pandas matplotlib tensorflow SQL tableau excel git SparkSQL
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Data Science Course Fees in Delhi

Online Classroom Preferred

  • Live Classes from iHUB IIT Roorkee Faculty & Industry Experts
  • Certification from iHUB IIT Roorkee
  • Career Services (Mock Interviews, Resume Preparation)
  • Placement Assistance upon clearing PRT
  • Dedicated Learning Manager
23 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

30 Mar

SAT - SUN

10:00 AM TO 01:00 PM IST (GMT +5:30)

06 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

13 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Data Science Course in Delhi Syllabus

Live Course Self Paced Industry Expert Academic Faculty

Module 1 – Preparatory Session - Linux and Python

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Python 

  • Introduction to Python and IDEs– The basics of the Python programming language, and how you can use various IDEs for Python development, like Jupyter, Pycharm, etc.
  • Python Basics –Variables, Data Types, Loops, Conditional Statements, Functions, Decorators, Lambda Functions, File Handling, Exception handling,etc.
  • Object Oriented Programming– Introduction to OOP concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice– The culmination of all the above concepts with real-world problem statements for better understanding

Linux

  • Introduction to Linux– Establishing the fundamental knowledge of how Linux works and how you can begin with Linux OS
  • Linux Basics –File Handling, data extraction, etc.
  • Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux
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Module 2 – Data Wrangling with SQL

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SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, and Variables

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc.
  • Clustered indexes, common table expressions

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future (using complex subqueries, functions, and pattern matching concepts).

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Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, and Matrices

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib
  • Regression plots, categorical plots, area plots, etc. with Python seaborn
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Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, and central limit theorem

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.
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Introduction to Machine Learning 

  • Supervised, Unsupervised Learning
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables
  • How to train the model in a regression problem
  • How to evaluate the model for a regression problem
  • How to optimize the efficiency of the regression model

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables
  • How to train the model in a classification problem
  • How to evaluate the model for a classification problem
  • How to optimize the efficiency of the classification model

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables
  • How to train the model in a clustering problem
  • How to evaluate the model for a clustering problem
  • How to optimize the efficiency of the clustering model
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Supervised Learning 

  • Linear Regression– Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
  • Logistic Regression– Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.
  • Decision Tree– Creating decision tree models on classification problems in a tree like format with optimal solutions
  • Random Forest– Creating random forest models for classification problems in a supervised learning approach
  • Support Vector Machine– SVM or support vector machines for regression and classification problems
  • Gradient Descent– Gradient descent algorithm that is an iterative optimization approach to finding the local minimum and maximum of a given function
  • K-Nearest Neighbors– A simple algorithm that can be used for classification problems
  • Time Series Forecasting – Making use of time series data and gathering insights and useful forecasting solutions using time series forecasting

Unsupervised Learning 

  • K-means – The k-means algorithm that can be used for clustering problems in an unsupervised learning approach
  • Dimensionality reduction – Handling multi-dimensional data and standardizing the features for easier computation
  • Linear Discriminant Analysis –  LDA or linear discriminant analysis to reduce or optimize the dimensions in the multidimensional data
  • Principal Component Analysis – PCA follows the same approach in handling the multidimensional data
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  • Classification reports– To evaluate the model on various metrics like recall, precision, f-support, etc.
  • Confusion matrix– To evaluate the true positive/negative, and false positive/negative outcomes in the model
  • r2, adjusted r2, mean squared error, etc.
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Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning (by Academic Faculty)
  • Deep neural networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, restricted Boltzmann machine
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The Data Science capstone project focuses on establishing a strong grasp of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:

  • Extracting, loading and transforming data into usable format to gather insights
  • Data manipulation and handling to pre-process the data
  • Feature engineering and scaling the data for various problem statements
  • Model selection and model building on various classification, and regression problems using supervised/unsupervised machine learning algorithms
  • Assessment and monitoring of the model created using the machine learning models
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Electives:

Power BI Basics

  • Introduction to Power BI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data

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Excel Fundamentals 

  • Reading the Data, Referencing in formulae , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles

Excel Power Tools 

  • Power Pivot, Power Query and Power View

Classification Problems using Excel

  • Binary Classification Problems, Confusion Matrix, AUC and ROC curve
  • Multiple Classification Problems  

Information Measure in Excel

  • Probability, Entropy, Dependence
  • Mutual Information

Regression Problems Using Excel

  • Standardization, Normalization, Probability Distributions
  • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
  • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression

Hands-on Exercise:

Classification problem using excel on sales data, and statistical tests on various samples from the population.

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  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test
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Data Science Training in Delhi Project

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

class-notifications
Hackathons
career-services
major-announcements
collaborative-learning

Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your up upskilling.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Data Science Certification in Delhi

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The data science course in Delhi by Intellipaat in association with iHUB, IIT Roorkee is designed by industry professionals for you to get the best jobs in top MNCs. As part of the data science training, you will be working on various data science projects and assignments that have immense implications in real-world scenarios. They will help you fast-track your Data Science career effortlessly.

At the end of this Data Science training in Delhi, there will be Data Science quizzes that perfectly reflect the type of questions asked in the respective certification exams. They will help you score better.

Intellipaat’s course completion certificate will be awarded to you when you complete the project work and score at least 60 percent marks in the data science quiz. This data science certification course in Delhi is well recognized by the top 80+ MNCs, such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Standard Chartered, TCS, Genpact, etc.

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Data Science Course in Delhi FAQs

Does Intellipaat offer any other data science courses in Delhi apart from this data science training?

Intellipaat, one of the leading E-learning institute in Delhi provides the best courses in Data Analytics, R Certification, Business Analyst, Artificial Intelligence, Machine Learning, Data Science with Python, Python, and others to help to increase your understanding of your field of work and to validate your skills.

Intellipaat offers exclusive data science courses in Delhi for professionals who want to expand their knowledge base and start a career in the field of Data Science. There are many reasons for choosing Intellipaat:

  • A personal mentor to track your progress
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Immersive online instructor-led sessions conducted by SMEs
  • Real-time exercises, assignments, and projects
  • 24/7 learning support
  • Personalized job support
  • Large community of like-minded learners
  • Industry-recognized Intellipaat badge

Intellipaat publishes numerous data science blogs weekly. The top free resources available for learners are Tutorial, Interview Questions, and everything about Data Science.

This online data science course in Delhi is curated by top data scientists from India and the United States. These SMEs have designed the course in such a manner that even if you are from a non-technical background and have almost zero knowledge of the data science domain, you can still learn and adapt all concepts easily. Also, we provide practical experience through real-time data science projects that allow even freshers to easily grasp the concepts.

In this online data science course in Delhi, by iHUB, IIT Roorkee (An Innovation Hub of IIT Roorkee) and Intellipaat, you can expect several benefits, including the following:

  • Free course upgrade throughout a lifetime
  • Anytime online assistance
  • Industry-recognized course completion certification from Intellipaat and IIT Roorkee
  • Lifelong access to the entire courseware

Since data science involves various aspects of advanced technologies, such as machine learning, deep learning, and Artificial Intelligence, among others, it is comparatively difficult to learn. However, Intellipaat’s online data science course in Delhi  is offered by data science experts who have a lot of experience in the field. They make all concepts easier to understand as they explain each concept with the help of several real-life examples.

Intellipaat is one of the most affordable e-learning providers today. Our online data science course in Delhi costs ₹100,035.

No Cost EMI options are available. For more a detailed information, contact our team @ IN: +91-7022374614

In the career mentoring session at Intellipaat, our data science experts offer solutions to all your queries that are based on career opportunities and the growth available in the domain of data science.

Intellipaat online program comprises all the topics that are required and significant to learn so that you can master this technology. This data science training in Delhi comprises both basic and advanced-level concepts involved in this technology so that you can learn them and master the skills to pursue a career in the field of data science. Moreover, the trainers of this course are experts in the domain who spend time and effort to teach you all the concepts in detail.

If you wish to enroll in our data scientist training in Delhi, then you need to first make a choice between an online instructor-led and self-paced data science program. Once you do that, you can make the payment using any major credit card, debit card, or EMI option.

Intellipaat selects subject matter experts from top MNCs, who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified data science instructors and are selected after going through our rigorous selection process and proving their capabilities.

Intellipaat’s teaching assistants are SMEs whose main aim is to make you a certified professional in the respective domain. The trainers conduct interactive video lectures to teach the latest technologies and enrich your experience with various industry-based projects. The teaching assistance provided by Intellipaat is only available during regular hours.

Intellipaat provides various group offers and discounts for its online program as per the size and type of the particular group. If you wish to avail of the discount, you need to get in touch with our course advisors who will explain to you all the details regarding data science.

For the Data Science course in Delhi from Intellipaat, geographical boundaries do not apply. It does not matter in whichever area you are in, be it Delhi NCR, New Delhi, Saket, or other South Delhi localities, Janakpuri, Uttam Nagar, Dwarka, Laxmi Nagar, Preet Vihar, Karol bagh, Pitampura, Shastri Nagar, Paschim Vihar, Vasant Kunj, Mahipalpur, or anywhere. You can access our online program sitting at your home or office.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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Data Science Course in Delhi

Delhi, India’s vibrant capital city, stands as a symbol of livability and economic growth. Situated beside the Yamuna River, Delhi accommodates a population exceeding 20 million, connected by the Delhi Metro.

The IT industry has played a key role in Delhi’s economic success, with over 9 lakh IT workers helping to build a strong economy. With a projected growth rate of 10.5%, Delhi is positioned for even greater success in the years to come.

Delhi’s culture and heritage display a mix of Mughal grandeur and British colonial charm. This is seen in landmarks like the Red Fort and Connaught Place. Following are some of the most lively places in Delhi: