Data Science Course in Gurgaon
Launch Your Career with 100% Placement Guarantee
Join the top-rated Data Science Course in Gurgaon with Placement Guarantee and master Python, Machine Learning, AI, and Big Data. Get real-world training, expert mentorship, and job-ready skills—all backed by guaranteed placement support.
6 Months
24 May 2025
Overview: Data Science Course in Gurgaon
Do you want to build a career in Data Science? Our data science course in Gurgaon offers in-demand skills and real-world projects to help you build a successful career.
Today, Gurgaon is at the heart of India’s economic boom, hosting dynamic industries like fintech, e-commerce, healthcare, and IT services—all of which are powered by data science.
Whether you are a complete beginner or a working professional, this course helps you master:
- Python Programming
- Machine Learning & AI
- SQL & Data Visualization
- Big Data & Analytics Tools
This course offers an industry-relevant curriculum, interactive real-world projects, and a 100% placement guarantee to launch your data science career.
Why Learn Data Science?
Data Science is one of the most in-demand skills today. The reason behind the demand is the reliance of companies on data to make informed decisions, giving them a competitive edge. Benefits of learning Data Science:
- High demand in top industries like IT, banking, e-commerce, and healthcare.
- Global career opportunities with top MNCs.
- Versatile skills applicable to various domains.
- New opportunities with the growing implementation of AI & Big Data.
Start your data science journey today and unlock high-paying job opportunities in Gurgaon’s top companies like Google, Paytm, Infosys, and more!
Upcoming Batches
Data Science Course
DATE
TIME
SEATS LEFT
Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 24th May 2025
1 PM to 4 PM Indian Time
3: 30 AM to 6: 30 AM Eastern Time
7: 30 AM to 10: 30 AM UTC/GMT00
8
Upcoming Batches
DATE
Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 24th May 2025
TIME
1 PM to 4 PM Indian Time
3: 30 AM to 6: 30 AM Eastern Time
7: 30 AM to 10: 30 AM UTC/GMT00
SEATS LEFT
8
Why Choose a Data Science Course in Gurgaon?
Gurgaon is growing fast as an IT city. Startups and global firms need data science and data analytics professionals now more than ever. In the last two years, there has been a 23% increase in data science jobs. Course enrolments increased by 45%, as professionals aim to future-proof their careers. With our data science course with placement guarantee in Gurgaon, both freshers and working professionals who are looking for a switch get the opportunity to secure high-paying job roles.
COVID-19 changed the face of the global workforce as millions found themselves changing career paths, quickly reskilling for new jobs that had replaced the traditional ones. Amongst this uncertainty, Gurgaon’s data science sector thrived, driven by the growing demand for automation and AI, which further offers multiple opportunities to skilled learners.
The Data Science Boom: A Turning Point for Professionals
In today’s competitive landscape, data powers progress in every industry. Industries like banking, retail, and logistics use data analytics to not only run their business but also to improve customer experience.
Gurgaon remains at the forefront of the fourth industrial revolution, creating opportunities for professionals skilled in big data, AI, and advanced analytics across various sectors.
Key drivers:
- Integration of AI/ML into everyday business operations
- Massive surge in structured and unstructured data
- Demand for skilled professionals who can extract actionable insights
Whether you’re switching careers or upskilling, this Data Science course in Gurgaon puts you ahead of the curve.
Here’s why enrolling in a Data Science Course in Gurgaon is a great decision:
- Booming Job Market – High demand across IT, fintech, healthcare, and e-commerce sectors.
- Lucrative Salaries – Freshers earn INR 3 to 6 LPA, while experienced professionals can go beyond 20 LPA.
- Top Hiring Companies – Work with Google, Paytm, TCS, Accenture, Infosys, IBM, and Zomato.
- Industry Growth – AI, Machine Learning, and Big Data adoption is increasing, driving career opportunities.
Course Curriculum
Module 1 (16 Hours): Introduction to Statistics
- What is Data Science?
- Mean
- Outlier
- Median
- Mode
- Skew
- IQR
- Sample variance
- Standard Deviation
- Z Score
- Interpreting various graph formats:
- Dot Plot,
- Histograms,
- Box and Whisker,
- Scatter Plots.
Module 2 (16 Hours): Introduction to Python
- Working with Jupyter Notebook
- Python concepts:
- Print function
- Variable
- Loops
- If
- For
- While
- Python Data Structures:
- Array
- List
- Tuple
- Dictionary
Module 3 (16 Hours): Analytics using Python
- Data cleaning
- Data pre-processing
- NumPy and Pandas Python Libraries
- Data visualization using Bokeh and Plotly
- Data Analytics with Python
- Case studies
- Project
Module 4 (16 Hours): Power BI
- Introduction to Power BI
- Power BI Interface and Navigation
- Connecting to Data Sources
- Data Cleaning and Transformation
- Advanced Transformations in Power Query
- Data Modeling Fundamentals
- DAX (Data Analysis Expressions) Basics
- Advanced DAX Functions
- Creating Basic Visuals
- Advanced Visualizations
- Mapping and Geospatial Visualizations
- Custom Visuals and App Store
- Designing Dashboards
- Dashboard Interactivity
- KPI Dashboards
- Publishing and Sharing Reports
- Collaborating in Power BI Service
- Scheduled Refresh and Data Management
- Advanced DAX and Calculations
- Performance Optimization
- Row-Level Security (RLS)
- Case Studies
Module 5 (16 Hours): SQL
- Introduction to Databases
- What is SQL?
- Installing MySQL
- Creating the Databases
- The SELECT Statement
- The SELECT Clause
- The WHERE Clause
- The AND, OR, and NOT Operators
- The IN Operator
- The BETWEEN Operator
- The LIKE Operator
- The REGEXP Operator
- The IS NULL Operator
- The ORDER BY Operator
- The LIMIT Operator
- Inner Joins
- Joining Across Databases
- Self Joins
- Joining Multiple Tables
- Compound Join Conditions
- Implicit Join Syntax
- Outer Joins
- Outer Join Between Multiple Tables
- Self Outer Joins
- The USING Clause
- Natural Joins
- Cross Joins
- Unions
- Column Attributes
- Inserting a Single Row
- Inserting Multiple Rows
- Inserting Hierarchical Rows
- Creating a Copy of a Table
- Updating a Single Row
- Updating Multiple Rows
- Using Subqueries in Updates
- Deleting Rows
- Restoring Databases
Module 6 (16 Hours): Tableau
- Introduction to Tableau
- Connecting to Data Sources
- Data Preparation Basics
- Data Blending and Joins
- Data Transformation with Tableau Prep
- Basic Charts and Visualizations
- Formatting Visuals
- Tableau’s Show Me Feature
- Advanced Charts and Visualizations
- Calculated Fields and Table Calculations
- Using Filters and Sets
- Introduction to Tableau Maps
- Advanced Mapping Techniques
- Spatial Calculations and Custom Territories
- Dashboard Design
- Adding Interactivity
- Designing Data Stories
- Publishing and Sharing Dashboards
- Tableau Server and Tableau Online
- Exporting and Presentation
- Advanced Calculations and LOD Expressions
- Performance Optimization
- Tableau Extensions and APIs
- Case Studies
Module 7 (12 Hours): Advanced Statistics
- Introduction to Inferential Statistics
- Probability
- Random variables
- Probability Distribution
- Empirical Rule
- Convert to Standard Normal Distribution
- Z Score
- Using Z Table
- Hypothesis Testing
- Understanding P Value
Module 8 (8 Hours): Advanced Python
- Functions
- Classes and Objects
Module 9 (26 Hours): Machine Learning
- Introduction to machine learning
- Cluster Analysis
- Association, correlation and covariance
- Classification
- Linear regression
- Logistic regression
- Decision Tree
- Random Forest
- Model evaluation
- Support vector machine
- Dimensionality reduction
- KNN (K- Nearest neighbors)
- K-means Clustering
- Ensemble Learning
- Optimization
Module 10 (26 Hours): Deep Learning
- Introduction to Deep learning
- Introduction to Artificial Intelligence
- Introduction to Deep Learning Module
- Deep Learning Model Practical with Tensorflow and Keras
- Computer Vision
- Introduction to Convolutional Neural Networks
- Decoding Image Components
- Identifying MNIST using CNN
- Preprocessing Image Data to apply CNN
- Natural Language Processing
- Introduction to NLP & Word Vectors
- Decoding a Textual Data
- NLP using Recurrent Neural Networks (RNN)
- NLP using Memory Alterations
- Framework – Apache Spark
- Map and FlatMap
- Transformers, Estimators, and Pipelines
- Text Mining
- Network Mining
- Python Matrix Libraries
Languages and Tools You will Master
Start Your Data Science Journey Today!
Easy EMI Options Available
(Complimentary English Classes)
Who Is Eligible & Course Requirements
- Open to beginners and working professionals
- Basic computer skills
- Willingness to learn coding and math concepts
Why Choose PyNet Labs?
Instructor-Led Live Training
On-Demand classes available
Up-to-date content matching industry tools
24/7 access to custom lab environment
Small batches for personal feedback
Real-world projects that mirror on-job tasks
Lifetime access to videos, slides, and code
Active community for peer support
Built-in prep for Data Science certifications
Flexible: self-paced videos + optional live Q&A
What Our Students Say About Us?
Mellissa Correia
I really admire our Network Automation Instructor Chirag’s creative approach to lessons and the way he converts complex topics in a very understandable one with a relative ease, he is also very supportive….
Kumar As
It’s a very good institute to learn automation. I had no experience programming, but after joining CCNA DEVNET, I am now capable of writing my own python automation scripts. I am grateful to Chirag for his patient….
Steve Kpah
I can say without mincing words that PyNet Labs is a Solid training institute for Networking and Network Automation courses…..a place where You can get the very best.
Ranjith Asam
My experience with PyNetLabs is overwhelming..!
Python Devnet course is very well structured to understand the network automation concepts.
I am new to the world of programming languages and Trainer Mr.Chirag is very helpful….
Anand Sriram
I studied a Python+Devnet automation course and i really enjoyed the session, All the sessions were really good Tutor Chirag was very good in explaining doubts and providing support when we have issues with the LAB, The phase of the course is good….
Aswathy Sreekumari
I am attending Python+ Devnet course from PyNetl Labs. Instructor Mr.Chirag is very informative and the course is well structured. The course covers from basics of python to advanced concepts of network automation. Will surely recommend this….
Abhijeet Agarwal
Python Devnet course taught by Chirag Dhall is quite an informative course . Actually all sessions were very helpful. This helped understand and streamlined the thoughts on Network Automation and Chirag is an amazing teacher, calm and composed. a rare trait.
Mansoor Ali Syed
PyNet Labs is the best place to learn Python, and we got a good instructor(Chirag Dhall)..Good Place to start the Network automation journey..!
Hands-on Projects and Practical Learning
Our Data Science course in Gurgaon includes real projects that match industry needs, ensuring you apply what you learn. These projects are designed to provide practical experience and build a strong portfolio.
Placement Assistance and Career Support
- We back you with 100% placement help:
- Resume building & LinkedIn optimization
- Mock interviews with industry experts
- Job referrals & networking opportunities
- Dedicated placement support team
Data Science Job Opportunities in Gurgaon
Gurgaon is a leading hub for Data Science, AI and Machine Learning professionals, offering high-paying job opportunities.
Top Hiring Companies: Google, Paytm, Accenture, IBM, TCS, Infosys, Genpact, Zomato
Salary Trends:
- Freshers: INR 3–6 LPA
- Mid-Level: INR 6–12 LPA
- Senior Roles: INR 12+ LPA
Career Paths After Data Science Course
Role
Description
Avg. Salary (Gurgaon)
Data Scientist
Business Analyst
From Gurgaon, For Gurgaon.
We understand the needs of local learners and companies. Our Data Science Course in Gurgaon content is designed around:
- Gurgaon-based case studies (logistics, retail)
- Employer-driven syllabus from our partner network
- Guest lectures by Paytm, Zomato, and IBM professionals
Limited Seats, Unlimited Future.
We prioritize quality over quantity. Each batch has limited seats to ensure:
- Personalized mentor support
- Real-time doubt solving
- Better interaction in group projects
- One-on-one career coaching
Learn from Industry Experts
Abhijit Bakale
Mr. Abhijit, the mastermind behind our training modules, lab infrastructure, and course materials. He is a Cisco Certified Systems Instructor (CCSI #35944) and holds the prestigious DevNet Expert certification (#20230021). With a total of 14 Cisco certifications under his belt, he brings unmatched expertise to every class. Over the years, he has delivered 20,000+ training hours and was recently invited by Cisco to speak about Network Services Orchestrator (NSO) at a live webinar—an acknowledgement of his authority in the field.
Chirag Dhall
Mr. Chirag is a dynamic trainer at PyNet Labs, delivering CCNA to CCIE-level training. He holds CCIE Enterprise Infrastructure (#68677) and CCSI (#36137) certifications. With experience training 1000+ students, he excels in simplifying complex concepts for freshers and professionals alike. He also leads corporate batches and brings hands-on expertise in VMware and network automation tools.
Sohel Japanwala
Mr. Sohel brings deep networking expertise and has trained 1000+ students at PyNet Labs. He teaches CCNA, ENCOR, ENARSI, BGP, OSPF, MPLS, along with Data Science and Data Analytics. Known for his supportive approach, he helps freshers and professionals build a strong foundation, earning consistent praise for his clarity and dedication.
Sudhangshu Bag
Mr. Sudhangshu Bag is an experienced CCNA trainer with 10+ years in networking and certifications in CCNA, CCNP Enterprise, CompTIA, and Red Hat. Well-versed in Linux, AWS, and Computer Networks, he has delivered 1000+ hours of training. His passion for teaching and deep technical knowledge make him a favorite among learners.
Next batch is filling fast. Reserve your seat now!
Frequently Asked Questions
Q1. Is Data Science in demand in Gurgaon?
Yes, Data Science is in high demand in Gurgaon, with numerous job opportunities across various industries.
Q2. Can I get a job after Data Science course in Gurgaon?
Absolutely. PyNet Labs offer a 100% placement guarantee with our Data Science Course in Gurgaon to help you get a job all over India.
Q3. What is the average salary of a Data Scientist in Gurgaon?
The Average Salary is about ₹6 LPA. Freshers earn ₹3–6 LPA, while experienced professionals can earn ₹7+ LPA.
Q4. Can I switch careers to Data Science?
Yes, you can easily switch your career from any stream to Data Science. Our Data Science course in Gurgaon with Placement Guarantee suits beginners and non-tech backgrounds too. You’ll get hands-on training and in-demand skills.
Q5. How long is the course?
Our standard course runs for 6 months. You can choose weekdays or weekend batches.
Q6. Do I need prior coding experience?
No, you don’t need any prior coding experience to join this course. We start with Python basics and build up your coding skills step by step.
Q7. What if I miss a live session?
All sessions are recorded. You can catch up at any time in our learning portal.
Q8. Are there live doubt-clearing sessions?
Yes. You can ask your doubts during live classes or later in your group Telegram Channel. We also hold weekly live Q&A sessions with instructors.
