Top 5 Data Science Courses in Gurgaon
Institute | Difficulty Level | Duration | EMI Starting at |
---|
iClass GyanSetu | Advanced | N/A | N/A |
---|
PST Analytics | Advanced | 400 Hours | 60,000 |
---|
Seven Mentors | Beginner to Advanced | 90 Hours to 110 Hours | N/A |
---|
LinkedIn Learning | Beginner | 1 Hour & 16 Minutes | N/A |
---|
LearnVern | Beginner | 6 Hours | 5000 |
---|
1. iClass Gyansetu

iClass Gyansetu is one of the fastest growing companies in Technology Learning and Consulting. They have a team that comprises highly skilled and qualified professionals who are having global exposure in diverse areas. They are known for providing high-quality as well as cost-effective professional training with delivery par excellence in cutting-edge technologies.
iClass Gyansetu offers a job-oriented Data Science training course in Gurgaon that will help you in building your skills in python, data visualization, predictive analytics, and machine learning. This course will provide you with a strong understanding of various Data Science topics and job-focused projects. Through this course, you’ll gain various skills that will help you in starting a successful career in data science and demonstrate your abilities to the interviewer.
Course Syllabus
- Machine Learning Introduction
- Python Data Analysis Libraries (EDA)
- Machine Learning: Data Pre-processing Techniques
- Machine Learning: Data Handling (Importing and exporting data from various sources)
- Machine Learning: Capstone Project
- Machine Learning: Statistical Inference System (Statistics Analysis)
- Machine Learning: Dimensionality Reduction (Feature Engineering)
- Machine Learning: Supervised Learning : Regression
- Machine Learning: Supervised Learning : Classification
- Machine Learning: Unsupervised Learning : Clustering
- Machine Learning: Recommender Systems
- Case Study : Design a Recommendation Engine
- Machine Learning: Reinforcement Learning
- Machine Learning: Text Mining & Natural Language Processing (NLP)
- Machine Learning: Word2Vec Analysis
- Machine Learning: NLP – POS(Parts-of-Speech Tagging)
- Deep Learning (AI) Specialization in Python:
- TensorFlow for Deep Learning with MLOps (Installation with Setup)
- Manual Creation of Neural Networks (Regression point of view)
- Tensor Flow basics
- CNN using Tensorflow
- RNN using Tensorflow
- TensorFlow Miscellaneous
- Tensorflow AutoEncoders
- Reinforcement Learning with OpenAI gym
- GAN – Generative Adversarial Networks
- ML Models Deployments (MLOps)
- KERAS For Deep Learning with MLOps (Artificial Neural Networks)
- Evaluating, Improving and Tuning the ANN
- Deep Learning: Convolutional Neural Networks(CNN)
- Recurrent Neural Networks(RNN)
- SOM’s (Self Organizing Maps)
- Deep Learning: Boltzmann Machines
- Deep Learning: AutoEncoders
- Deep Learning: Classification & Regression Using Deep Learning Models (MLOps)
- Deep Learning for Computer Vision
- Setting Up Deep Learning Development Environment
- Deep Learning: Handwriting Recognition, Simple Object Classification OpenCV
- Deep Learning: OpenCV3 Tutorial – Live Sketches, Identify Shapes & Face Detection
- Mini-Project#1 – Live Sketch App – Turn our Webcam Feed Into a Pencil Drawing
- Deep Learning: Mini Project#2 – Identify Shapes (Square, Rectangle, Circle, Triangles & Stars)
- Deep Learning: Mini Project#3 – Counting Circles & Ellipses
- Deep Learning: MiniProject#4 – Finding Waldo (Quickly Find a Specific Pattern In An Image)
- Deep Learning: MiniProject#5 – Car & Pedestrian Detection in Videos
- Deep Learning: Neural Networks Explained
- Deep Learning: Build CNNs in Python using KERAS – Handwriting Recognition(MNIST)
- What CNNs ‘see’ – Filter Visualizations, Heatmaps & Salience Maps
- Data Augmentation : Build a Cats Vs Dogs Classifier
- Deep Learning: Types of Optimizers, Learning Rates & Call backs: Build a Fruit Classifier
- Deep Learning: Types of Optimizers, Learning Rates & Call backs: Build a Fruit Classifier
- Batch Normalization & Build LeNet, AlexNet : Build a Fashion/Clothes Classifier
- Deep Learning: ImageNet in KERAS(VGG16/19, InceptionV3, ResNet50) -Advanced Image Classifiers
- Deep Learning: Transfer Learning & Fine Tuning : Build a Flower & Monkey Breed Classifier
- Deep Learning: Design Our own CNN : LittleVGG : Build a Simpsons Character Classifier
- Deep Learning: Advanced Activation Functions & Initializations
- Deep Learning: Deep Surveillance: Build a Facial Emotion, Age & Gender Recognition System
- Deep Learning: Image Segmentation & Medical Imaging in U-Net : Find Nuclei in Images
- Deep Learning: Principles of Object Detection
- Deep Learning: Tensorflow Object Detection API
- Deep Learning: Object Detection with YOLO & Darkflow : Build a London Underground Sign Detector
- Deep Learning: DeepDream & Neural Style Transfers : Make AI Generated Art
- Deep Learning: Generative Adverserial Networks (GANs) : Age Faces to 60+ Age with our Age-cGAN
- Deep Learning: Face Recognition with VGGFace
- Deep Learning: Computer Vision World
- Deep Learning: Build a Credit Card Number Reader
- Deep Learning: Use Cloud GPUs on PaperSpace
- Deep Learning: Creating a Computer Vision API & WebApp Using Flask & AWS
Course Highlights
- Instructor from Microsoft
- Instructor-Led Training
- Free Course RepeatJob Focused Projects
- Interview Preparation Sessions
- Periodic Assessments
- Placement Support
- Repeat Course for Free
- Certification Program
- Content designed by Microsoft Expert
Course Duration & Fees
The details regarding the duration and fee structure of this course are not provided on iClass Gyansetu’s website but you can contact them using the contact information given below to know more about this.
Contact Details
Phone: +91 9999 201 478
Email: [email protected]
2. PST Analytics

Established in 2011, PST Analytics is one of the well-known and most trusted brands in the field of analytics training and consulting. They offer courses various courses in the field of analytics such as machine learning, data science, data visualization, and big data. They also provide interactive online training to professionals from all over the world along with hands-on real-time industry-based projects.
PST Analytics offers a Data Science 360 course in Gurgaon in which you’ll learn Data Science, Analytics, Machine Learning, and Artificial Intelligence. It is an authentic certified course with global acclaim. This course will teach you Data Science using R & SAS, Data Visualization using Tableau, Machine Learning using Python, and Analytics using Excel & SQL.
Course Syllabus
- Basic Concepts
- Access Data
- Starting With Raw Data(Basics)
- Formats and Informats
- Starting With Raw Data( Beyond Basics)
- Mixing Styles of Input
- PDV: How the DATA Step Works
- Manipulating SAS Datasets
- Grouping Statements Using DO Groups
- Combining SAS Data Sets
- Transforming Data with SAS Functions
- Relevant base SAS procedures
- Generating Data with DO Loops
- Processing Variables with Arrays
- Analytics-An Introduction
- Data and Variables-An introduction
- Population and Sample-Sampling techniques
- Normal Distribution & Central Limit Theorem
- Exploratory data Analysis
- Data Visualization
- Hypothesis Testing
- Campaign Management
- One Sample T-Test
- Two sample T-test & Sides of a test
- Anova-Analysis of Variance
- Anova-Post Hoc Analysis Test
- Correlation-Different types
- Regression -Exploring the algorithm
- Regression – Model Building
- Logistic Regression-Introduction
- Predictive modeling using Logistic Regression
- Logistic Regression-Model Building
- Logistic Regression-Measure model performance
- Logistic Regression-Industry view and applications
- SAS SQL 1: Essentials
- Displaying Query Results
- SQL Joins
- Subqueries
- Set Operators
- Creating Tables and Views
- Advanced PROC SQL Features
- SAS Macro Language
- Macro Variables
- Macro Definitions
- DATA Step and SQL Interfaces
- Macro Programs
- Advanced SAS Programming Techniques
- Controlling I/O Processing and Memory
- Accessing Observations
- Using DATA Step Arrays
- Using DATA Step Hash and Hiter Objects
- Combining Data Horizontally
- Expert Programmer Techniques
- Understanding the R environment
- Importing raw data
- Data structures
- Style Guide
- Loops and vectorization
- Functions and conditionals
- summarization
- GLM Family
- Decision Trees
- Optimization in R
- Bonus Topic
- Introduction to ML
- Getting started with Python
- Process in any ML
- Regression
- Classification
- Support Vector machines
- Decision Trees
- Random Forest
- Gradient boosting machines
- Clustering
- Natural Language processing
- Neural Network
- Solving live problems using what we have learned
- Basic Tableau
- Data connectivity and navigation
- My first visual – Bar chart
- Other charts in Tableau
- Time series, aggregation and filters
- Maps and scatter plot
- Joining and Data blending
- Advanced Tableau
- Advanced Table calculation
- Advanced data preparation + Analytics in Tableau
- Creating animations in Tableau
- Level of details (LOD)
- Tableau Server
- Project
Course Highlights
- Analytics on SAS Certification- Complete program
- Real-time data-driven projects
- SAS Analytics Certification
- Certificate of Completion
- Career Rise
- Global Certification
- 1500+ Students Enrolled
- Easy to advance
Course Duration & Fees
The duration of this course is 400+ hours and its price is INR 60,000.
Contact Details
Phone: +91 9811 55 2060
Email: [email protected]
3. SevenMentor

SevenMentor Private Limited is the fastest-growing training institute that is known for providing various training courses with International certifications in Gurgaon. They have a tendency to cope with all International Standards within their courses. They have 52+ classrooms, 75+ mentors, 200+ online and offline courses, and they have successfully made the career of 72000+ individuals. Their certification is accredited worldwide as well as it increases the value of your resume. It will also help you in attaining leading job posts in leading MNCs of the world.
SevenMentor offers a Data Science course in Gurgaon that is known for providing the best training to its candidates. This course will explain various concepts of Data Science in a very basic and easy-to-understand language in order to help you learn in a very effective way. It provides you with complete freedom to explore the subject and teaches you concepts based on real-time examples. This course will also help you in completing your projects as well as prepare you for interview questions and answers.
Course Syllabus
- Introduction to Data Science
- Python environment Setup and Essentials
- Mathematical Computing with Python (Numpy)
- Introduction to Scientific Computing (Scipy)
- Data Manipulation with Pandas
- Data Visualization using Matplotlib
- Machine learning using scikit-learn
- Web Scraping in Python
- Introduction to Deep learning
- Assignment and Live Examples
Course Highlights
- 50 Hours of Assignments
- Certified Trainers with more than 8+ Years of Experience
- Trained 2000+ Students in a Year
- Strong Theoretical as well as Practical Knowledge
- Expert Level Subject Knowledge
- Fully Up-to-Date Knowledge on Real-World Industry Applications
- Beginner to Advanced Level Course
- Flexible Fees Installment Option
- 24/7 Support
Course Duration & Fees
The duration of this course can be 90 hours to 110 hours and to know about its price you’ll have to contact SevenMentor.
Contact Details
Phone: +91 77980 58777
Email: [email protected]
4. LinkedIn Learning

LinkedIn Learning is simple, free, and easy-to-use online learning platform that provides an access to over 13,000+ professional courses which are developed by industry experts. In these courses, you can learn at your own pace and get access to in-depth learning via short tutorials. These courses are a great way to enhance your resume and stand out from the crowd while looking for work.
LinkedIn Learning offers a beginner-level Data Science course named Learning Data Science: Understanding the Basics. This course is an introduction to Data Science for individuals who are not planning on being full-time data scientists. This course will introduce you to big data concepts, tools, and techniques which include gathering and sorting data, understanding structured and unstructured data types, working with databases, and applying statistical analysis.
Course Syllabus
- Introduction
- 1. What Is Data Science?
- 2. Working with Databases
- 3. Recognizing Different Data Types
- 4. Applying Statistical Analysis
- 5. Avoiding Pitfalls
- Conclusion
Course Highlights
- 4 chapter quizzes
- Access on tablet and phone
- Certificate of completion
- Practice while you learn
- Test your knowledge with quizzes
- Learn on the go
- Stay up to date
- Downloadable course
- Shareable Certificate
- 197,756+ Learners
Course Duration & Fees
The duration of this Data Science course is 1 hour and 16 minutes and to take this course you’ll have to buy a monthly membership of LinkedIn Learning.
Contact Details
Phone: 1-844-587-5735
5. LearnVern

LearnVern.com is one of the well-known and leading training portals in India where anyone can learn any course in vernacular languages for absolutely free. They offer courses like Digital Marketing, MS excel, Spoken English, Computer Networking, Core PHP, illustrator, Python programming, CREO, AutoCAD Mechanical, Angular JS, Selenium, Android, Core Java, Advance Java, PHP, Testing, and many more. All of these courses are available free for learning. Their goal is to upskill and reskill as many people as they can without the burden of fees.
LearnVern offers a comprehensive Data Science course where you’ll learn the fundamentals of Data Science such as data measurement, charts & graphs, and measures of central tendency and shapes. This course will also provide a deep insight into the basics of R Programming, Clustering, Hypothesis Testing, Anova, Regression Analysis, Correlation, and Data mining. In this course, you’ll go through a step-by-step structure to pick up skills and knowledge needed in the field of Data Science which will be beneficial for you as a Data Scientist.
Course Syllabus
- Introduction to Data Science
- Data Measurement
- Charts and Graphs
- Measures of Central Tendency and Variability
- Measures of Shapes
- Hypothesis Testing
- Basics of R Programming
- Analysis of Variance
- Introduction to Datamining
- Regression Analysis and Correlation
- Clustering
- Project
Course Highlight
- 06+ hours of on-demand video
- 59 Articles
- Full lifetime access
- 7 exercises
- Access on mobile and TV
- 4.4 Star rating based on 449 reviews
- 30956+ Learners
Course Duration & Fees:
The duration of this course is approximately 6 hours and it is completely free to enroll. Although if you want to get certified in this Data Science course you’ll have to pay INR 5000.
Contact Details
Phone: 8849004643
Email: [email protected]