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Data Science Course in Jodhpur

Join the most advanced Data Science & AI Course in Jodhpur and learn to build machine learning models, AI-powered applications, and data-driven solutions through hands-on projects, a 4-week internship, and 1-year placement support at our Ratanada campus.
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Learn AI Through Real Projects & Industry Applications
Learn AI Through Real Projects & Industry Applications
Curriculum

Learn AI Through Real Projects & Industry Applications

Master Data Science, Machine Learning, Deep Learning, and Generative AI by working on real-world datasets, business case studies, and AI-powered projects.

  • Build machine learning models using real datasets
  • Learn Python, AI, ML, Deep Learning, and GenAI tools
  • Gain practical exposure through projects and a 4-week internship
Learn Face-to-Face from Data Science & AI Experts in Jodhpur
Mentorship

Learn Face-to-Face from Data Science & AI Experts in Jodhpur

Get mentored by experienced Data Scientists and AI professionals who have worked on predictive analytics, intelligent systems, and real-world AI applications.

  • Learn practical AI workflows used in modern organizations
  • Receive expert guidance on projects and assignments
  • Build industry-ready skills through mentor-led learning
Build AI Solutions Through Practical Learning
Build AI Solutions Through Practical Learning
Learn By Doing

Build AI Solutions Through Practical Learning

Go beyond theory by applying Data Science and AI concepts to solve real business challenges and industry use cases.

  • Work on industry-focused case studies and projects
  • Build machine learning and AI applications from scratch
  • Compete for the "Top AI Innovator" title in your cohort
Crack Jobs with WsCube Placement Support
Crack Jobs with WsCube Placement Support
Placements

Crack Jobs with WsCube Placement Support

Get placement support designed to help you confidently enter the Data Science and AI industry.

  • Resume building and portfolio development
  • Mock interviews and technical interview preparation
  • Access to hiring opportunities through our network
Learn AI Through Real Projects & Industry Applications

Success Stories of Our Alumni

Our Jodhpur alumni are building successful careers as Data Scientists, Machine Learning Engineers, AI Engineers, Data Analysts, and Business Analysts across industries.

Under WsCube’s Mentorship
Transformed

Placement Report 2025-26

Get the complete report to explore all Jodhpur program outcomes.

90%

Median Hike

280+

Students Placed

₹18 LPA

Highest Package

Milestone 1 - Duration: 4 weeks

Build strong programming and database fundamentals through Python, pandas, and SQL. Learn how to clean, query, transform, and prepare real datasets like a true data professional.

Week 1

Python Essentials & Data Structures

  • Installing Python and setting up Jupyter
  • Understanding variables and data types
  • Using operators and expressions
  • Writing control flow (if/else, loops)
  • Handling errors and exceptions
  • Using lists, tuples and dictionaries
Week 2

Advanced Python & pandas Basics

  • Creating and reusing functions
  • Writing efficient list comprehensions
  • Understanding pandas Series and DataFrames
  • Loading data from CSV/Excel files
  • Filtering, sorting and selecting data
Week 3

SQL Fundamentals

  • Understanding relational databases
  • Writing basic SELECT queries
  • Filtering data with WHERE
  • Sorting and limiting results
  • Aggregating data with GROUP BY and HAVING
  • Joining multiple tables
Week 4

SQL Advanced

  • Writing subqueries
  • Using Common Table Expressions (CTEs)
  • Applying window functions (ROW_NUMBER, RANK, etc.)
  • Basics of query optimization

Project:

Apollo Hospitals Patient Flow SQL Lab

Use hospital admissions and discharge data from Apollo to write SQL queries that track wait times, readmission rates and bed utilization, highlighting operational bottlenecks.​

Case Study

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Nike Customer Purchase Analyzer

Build a Python tool that reads customer purchase data from a CSV/Excel file and provides quick insights using pandas.

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Swiggy Orders Analysis

Swiggy seeks insights from its SQL dataset. Implement sophisticated SQL queries with intricate joins for in-depth analysis and strategic decision-making.

Milestone 2 - Duration: 2 weeks

Master the art of cleaning messy data, exploring patterns, and extracting insights. Use Python visualizations and BI dashboards to tell compelling data stories.

Week 5

Data Cleaning & Preprocessing

  • Handling missing values
  • Identifying and removing duplicates
  • Detecting and treating outliers
  • Converting data types correctly
  • Working with dates and times
  • Creating derived features
Week 6

Python Visualization & EDA

  • Performing univariate analysis
  • Exploring relationships between variables
  • Creating histograms and boxplots
  • Building bar and line charts
  • Using pair plots for multivariate views
  • Applying visualization best practices

Project:

JioHotstar Exploratory Data Analysis (EDA)

Working as a data analyst for Hotstar, explore viewer engagement data using Python visualizations

Case Study

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Zomato Order Quality Insights

As a data analyst at Zomato, work with raw order and delivery data to improve data quality and build reliable features for downstream analytics.

Milestone 3 - Duration: 5 weeks

Learn the core statistical thinking behind real-world ML problems. Build, evaluate, and refine regression and classification models used across industries.

Week 7

Descriptive Statistics & Distributions

  • Calculating mean, median and mode
  • Measuring spread with variance and standard deviation
  • Understanding quantiles and percentiles
  • Recognizing the normal distribution
  • Interpreting correlation between variables
Week 8

Probability & Hypothesis Testing

  • Learning basic probability rules
  • Understanding sampling and sample size
  • Building confidence intervals
  • Running t‑tests and chi‑square tests
  • Interpreting p‑values
  • Framing and analyzing A/B tests
Week 9

ML Foundations & Regression

  • Understanding supervised learning concepts
  • Splitting data into train and test sets
  • Applying cross‑validation
  • Building linear regression models
  • Scaling features where required
  • Evaluating models with regression metrics
Week 10

Regularization & Regression Refinement

  • Understanding overfitting and underfitting
  • Applying Ridge regression
  • Applying Lasso and elastic net
  • Handling multicollinearity
  • Using learning curves for diagnostics
Week 11

Classification Basics

  • Introducing classification problems
  • Building logistic regression models
  • Using k‑Nearest Neighbors (k‑NN)
  • Training decision trees
  • Evaluating with accuracy, precision and recall
  • Using F1‑score and ROC‑AUC
  • Understanding Time Series Analysis (Basics)

Project:

Spotify Listener Stats Summary

Work as a junior data analyst at Spotify to understand how users listen to music across different regions and playlists.

Uber Fare Prediction Model

Work as a junior data scientist at Uber to predict trip fares using historical ride data.

Case Study

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Amazon Homepage Experiment:

As a data scientist at Amazon, evaluate an A/B test on a new homepage layout aimed at increasing conversion rate.

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Swiggy Order Churn Classifier

As a data scientist at Swiggy, build a model to classify whether a customer is likely to stop ordering on the platform.

Milestone 4 - Duration: 5 weeks

Level up with ensemble methods, clustering, PCA, and text-intelligence foundations. Choose between NLP or Deep Learning to build more advanced AI-driven systems.

Week 12

Tree Ensembles & Feature Engineering

  • Understanding ensemble learning
  • Training random forest models
  • Using gradient boosting methods
  • Interpreting feature importance
  • Encoding categorical variables
  • Building pipelines for preprocessing + modeling
Week 13

Unsupervised Learning

  • Introducing clustering problems
  • Applying k‑means clustering
  • Choosing k and reading silhouette scores
  • Understanding high‑dimensional data
  • Reducing dimensions with PCA
  • Interpreting explained variance
Week 14

Deep Learning or NLP Track

  • Understanding neural network building blocks
  • Learning activation and loss functions
  • Grasping gradient descent and backpropagation
  • Cleaning and tokenizing text (NLP track)
  • Representing text with TF‑IDF
  • Building simple text classification models
Week 15

Hyperparameter Tuning & Experimentation

  • Understanding hyperparameters vs parameters
  • Running grid search for tuning
  • Using random search for efficiency
  • Reading validation curves
  • Applying early stopping to prevent overfitting
  • Tracking experiments and results
Week 16

Model Evaluation & Interpretability

  • Performing detailed error analysis
  • Checking model calibration
  • Interpreting feature importance outputs
  • Using partial dependence ideas
  • Introducing fairness and bias concepts

Project:

Netflix Content Recommender & View Forecasting

Build a basic recommender for Netflix using watch history plus a time‑series model to forecast views for trending titles, tying into your recommendation and forecasting milestones.

Mercado Livre E‑commerce Delivery Tuning Lab

As a data scientist for Mercado Livre, a leading Brazilian e‑commerce marketplace, refine a model that predicts whether an order will arrive late using the Brazilian e‑commerce dataset

Case Study

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Myntra Product Return Risk Model

As a data scientist at Myntra, build an ensemble model to predict the likelihood of a product being returned after purchase.

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MakeMyTrip Review Classifier

As an applied ML engineer at MakeMyTrip, build a neural‑network‑based system to classify hotel reviews as positive or negative.

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ICICI Bank Loan Fairness Audit

As a data scientist at ICICI Bank, review an existing loan‑approval model to ensure it is both accurate and fair.

Milestone 5

A capstone project where learners solve a real business problem using data, analytics, and selective AI assistance. You will work on an end-to-end data science use case, from understanding the problem to analyzing data, building models, and generating insights that support business decisions. AI tools may be used to assist analysis, improve efficiency, and enhance insights, similar to how data teams work in modern organizations.

Business Problem & Data Understanding

  • Identify a real-world business problem and understand the data available to solve it.
  • Use data exploration and AI-assisted questioning to define objectives, success metrics, and scope.

Data Extraction & Preparation

  • Work with structured datasets using SQL and Python.
  • Clean, transform, and prepare data for analysis and modeling.

Exploratory Analysis & Insights

  • Perform exploratory data analysis to uncover trends, anomalies, and relationships.
  • Use visualizations, statistics, and AI-assisted summaries to highlight key insights.

Model Building & Evaluation

  • Apply machine learning techniques to address the business problem.
  • Train, evaluate, and compare models using appropriate metrics, with AI support for experimentation and tuning.

Insights, Decisions & Recommendations

  • Translate analysis and model outputs into clear business insights.
  • Use AI tools to help structure recommendations and explain results in business language.

Final Presentation

  • Present the complete solution, approach, and outcomes.
  • Demonstrate both analytical thinking and responsible use of AI in decision-making.
Milestone 6 - Duration: 4 weeks

A 4-week immersive internship where you work as a Data Analyst Intern at WsCube Tech on real business challenges. Gain hands-on experience in data analysis, visualization, and reporting across multiple departments. Experience the real workflows of modern data teams while contributing to decision-driving projects.

Week 17

Data Collection & Python Foundations

  • Work with real business data using Python from day one
  • Clean, organize, and preprocess raw datasets using Pandas & NumPy
  • Write efficient SQL queries to extract and filter business data
  • Understand how data pipelines flow within an organization
Week 18

Statistical Analysis & Reporting

  • Apply statistical concepts to real company datasets
  • Identify trends, distributions, patterns, and anomalies
  • Perform hypothesis testing and correlation analysis on business data
  • Prepare structured analytical reports for team leads and stakeholders
Week 19

Supervised & Unsupervised ML Modelling

  • Build predictive models (regression, classification) on real business problems
  • Apply clustering and dimensionality reduction for customer/market segmentation
  • Evaluate and tune models for accuracy, precision, and business relevance
  • Translate model outputs into clear, actionable insights for non-technical audiences
Week 20

Insights & Stakeholder Presentation

  • Consolidate work from all previous weeks into a cohesive data science project
  • Craft a data-driven business narrative backed by statistical and ML findings
  • Present solutions and recommendations to WsCube Tech stakeholders
  • Demonstrate analytical thinking, Python/SQL proficiency, and communication skills
Bonus

BI Dashboards & Storytelling

  • Understanding measures vs dimensions
  • Defining business KPIs
  • Designing data models for BI tools
  • Adding slicers and interactive filters
  • Building executive‑ready dashboards

Data Pipelines & ETL

  • Understanding ETL vs ELT workflows
  • Ingesting data from files, APIs and databases
  • Designing end‑to‑end data workflows
  • Adding validation checks in pipelines
  • Implementing logging and basic monitoring

Databases, Warehousing & Big Data

  • Understanding database design
  • Schemas – Star & Snowflake
  • Understanding OLTP vs OLAP
  • Introducing data warehousing concepts
  • Getting an overview of Hadoop and Spark

Model Serving & APIs

  • Learning REST API fundamentals
  • Serializing and saving ML models
  • Designing batch inference workflows
  • Designing real‑time inference workflows
  • Considering basic security for ML APIs

Data Apps & Model Monitoring

  • Building interactive apps around models
  • Designing prediction input forms and outputs
  • Combining visualizations with model results
  • Tracking model performance over time

Advanced Topics & Electives

  • Understanding time series forecasting - advanced
  • Learning recommendation system approaches
  • Exploring advanced NLP tasks
  • Introducing modern language models

Data Ethics, Governance & Privacy

  • Recognizing different types of model bias
  • Evaluating fairness in ML decisions
  • Improving interpretability of models
  • Understanding data privacy regulations (GDPR/CCPA)
  • Learning core data governance principles

Generative AI & Large Language Models

  • Understanding how large language models work
  • Learning effective prompt engineering techniques
  • Knowing when and how to fine‑tune models
  • Introducing RAG (Retrieval‑Augmented Generation)
  • Applying ethical and responsible GenAI practices

Last Mile 3-Stage Exclusive Preparation

Your final sprint to a high-performing marketing career.

Last Mile 3-Stage Exclusive Preparation

Your final sprint to a high-performing marketing career.

01

Gear Up

Build your personal brand and professional identity.

02

Pitch Perfect

Master the art of storytelling to confidently crack HR interviews.

03

Tech Skill Setup

Get ready for technical rounds with real-world challenges.

01

Gear Up

Build your personal brand and professional identity.

Gear Up
Gear Up

Resume

Craft impactful, job-ready resumes.

Portfolio

Showcase your projects and data stories effectively.

GitHub

Present real work with structured repositories.

LinkedIn

Optimize your profile for recruiter visibility.

02

Pitch Perfect

Master the art of storytelling to confidently crack HR interviews.

Pitch Perfect
Pitch Perfect

The Art of Storytelling

Present your analytics projects with clarity, context, and impact.

Talent Expectations

Learn how to align your pitch with what top recruiters look for.

Interview Tactics

Build authentic and structured responses for behavioral rounds.

Communication Mastery

Develop speaking and body language skills for interviews.

03

Tech Skill Setup

Get ready for technical rounds with real-world challenges.

Tech Skill Setup
Tech Skill Setup

Technical Round Prep

Problem-solving with SQL, Excel, Python, and BI-based questions.

Assessments

Tackle assignments and case study–specific data problems.

Whiteboarding Challenges

Practice structured thinking and data storytelling on the spot.

Guesstimates Practice

Crack analytical estimation and business reasoning confidently.

01

Gear Up

Build your personal brand and professional identity.

Gear Up
Gear Up

Resume

Craft impactful, job-ready resumes.

Portfolio

Showcase your projects and data stories effectively.

GitHub

Present real work with structured repositories.

LinkedIn

Optimize your profile for recruiter visibility.

02

Pitch Perfect

Master the art of storytelling to confidently crack HR interviews.

Pitch Perfect
Pitch Perfect

The Art of Storytelling

Present your analytics projects with clarity, context, and impact.

Talent Expectations

Learn how to align your pitch with what top recruiters look for.

Interview Tactics

Build authentic and structured responses for behavioral rounds.

Communication Mastery

Develop speaking and body language skills for interviews.

03

Tech Skill Setup

Get ready for technical rounds with real-world challenges.

Tech Skill Setup
Tech Skill Setup

Technical Round Prep

Problem-solving with SQL, Excel, Python, and BI-based questions.

Assessments

Tackle assignments and case study–specific data problems.

Whiteboarding Challenges

Practice structured thinking and data storytelling on the spot.

Guesstimates Practice

Crack analytical estimation and business reasoning confidently.

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Industry-Recognized Certificate

A badge trusted by top companies.

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Stand Out in the Job Market

Turn your profile into a recruiter magnet.

certificat-icon

Your Passport to Career Growth

Step into better roles and higher salaries.

certificat-icon

Industry-Recognized Certificate

A badge trusted by top companies.

certificat-icon

Stand Out in the Job Market

Turn your profile into a recruiter magnet.

certificat-icon

Your Passport to Career Growth

Step into better roles and higher salaries.

AI Innovation Labs

Machine Learning Sprints, AI Projects & Model Building Challenges

Work on practical AI use cases where data meets intelligent decision-making. Build, train, test, and improve models just like industry professionals.

5+

AI Sprints

12+

Industry Projects

Turn data into intelligence and ideas into AI-powered solutions.

Person typing on laptop keyboard
Proof of Work

Build Your AI Portfolio - Guided Milestone Projects

Every milestone ends with a complete, portfolio-ready Data Science or AI project that proves your practical expertise.

10+

Portfolio Projects

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Public Portfolio

You won't need to say you're an AI marketer; your WORK will prove it.

Group mentorship session
Data + AI Stack

Train on the Exact Tools Used by Top Data & AI Teams

Get hands-on with tools used for data cleaning, analysis, modeling, pipelines, deployment, and LLM workflows used by Data Scientists and ML Engineers to build real systems.

35+

Data & AI Tools

100%

Job-Relevant Stack

No outdated slides, just real, applied Data Science & AI in action.

Tablet with data dashboard
Project-Based Learning

Showcase Mega Capstone Project on Demo Day

Build a full-scale Data Science & AI system and present it live in an online Demo Day to mentors & peers.

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Because the best Data Scientists are made by doing, not just learning.

Group of students with certificates
Doubt Solving & Community Support

Learn with Mentors, Grow with Future AI Professionals

Get regular doubt-solving, project reviews, model feedback, and career guidance from mentors at our Jodhpur campus.

1.5 Lakh+

WsCube Learners Community

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Live Mentor Access

You're not just learning AI. You're becoming part of Jodhpur's growing AI talent community.

Group of students in front of building
Mock Interviews

Perfect Your Skills with 1:1 Mock Interviews

Face 1:1 mock interviews, ML problem-solving rounds, and project simulations designed exactly like real hiring at top tech, fintech, and AI companies. Get actionable feedback from experts who’ve actually hired Data Scientists & ML Engineers.

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HR Round

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Technical Round

Walk into interviews with clarity, strategy, and confidence.

Group of students in front of building
Graduation Ceremony

Grand Celebration of Your Journey & Certification

Graduate with pride in a virtual ceremony, present your campaigns, receive your certification, and network with recruiters and mentors.

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Top Performer Showcase

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WsCube Tech Certification

You don’t just complete the program; you get celebrated and noticed.

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See what learners are saying

Thousands of people love pro digital marketer with Wscube Tech

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WsCube Tech offers one of the most practical Data Science & AI Courses in Jodhpur with real-world projects, a 4-week internship, 1-year placement support, and hands-on training in Machine Learning, Deep Learning, and Generative AI.
Our Data Science Institute is located in Ratanada, Jodhpur, making it easily accessible from Sardarpura, Paota, Shastri Nagar, Bhaskar Circle, Residency Road, and nearby areas.
The program runs for 20 weeks and includes a 4-week internship to help learners gain practical industry exposure.
Yes. The course includes a structured 4-week internship where learners work on real datasets, AI projects, and industry-relevant use cases.
Yes. Learners receive 1-year placement support, including resume building, portfolio development, LinkedIn optimization, mock interviews, and hiring assistance.
You will learn Python, Statistics, Data Analysis, Machine Learning, Deep Learning, Generative AI, Data Visualization, Model Deployment, and AI-powered problem-solving techniques.
Absolutely. The course starts with the fundamentals and gradually progresses to advanced Data Science and AI concepts, making it suitable for beginners and non-technical learners.
Students, fresh graduates, working professionals, engineers, career switchers, entrepreneurs, and anyone interested in AI and Data Science can join this program.
Yes. You'll build machine learning models, analyze business datasets, create AI applications, and work on portfolio-worthy projects throughout the course.
You can apply for roles such as Data Scientist, Machine Learning Engineer, AI Engineer, Data Analyst, Business Analyst, Data Engineer, and Analytics Consultant.
Jodhpur is seeing increasing adoption of technology across education, healthcare, manufacturing, tourism, retail, and service sectors. Data Science and AI skills can help you access opportunities both locally and across India.
No. Prior coding knowledge is not mandatory. The course is designed to take learners from basics to advanced AI and Machine Learning concepts.
Our focus on practical learning, industry projects, AI-powered curriculum, internship opportunities, 1-year placement support, and expert mentorship helps learners become job-ready professionals.
Yes. Working professionals can join to upskill, transition into Data Science and AI roles, or future-proof their careers with in-demand technical skills.
Yes. Upon successful completion of the program and internship, learners receive a professional certification from WsCube Tech validating their Data Science & AI skills.

Best Data Science Course in Jodhpur

Data is becoming the backbone of modern businesses, and Artificial Intelligence is reshaping how organizations solve problems, automate processes, and make decisions. From startups and technology companies to healthcare, education, finance, and manufacturing, businesses are actively looking for professionals who can turn data into actionable insights.

Our Data Science Course in Jodhpur is designed to help learners build practical skills through real-world datasets, machine learning projects, AI applications, and industry case studies. Located at our Ratanada campus, the program combines structured training, a 4-week internship, and 1-year placement support to help learners become industry-ready.

Whether you're a student exploring future career options or a working professional looking to enter the AI industry, this program provides a practical pathway into one of the world's fastest-growing fields.

Why Choose WsCube Tech for Data Science Training in Jodhpur?

Choosing the right Data Science Institute in Jodhpur can play a major role in your career growth. At WsCube Tech, we focus on practical implementation, project-based learning, and real industry exposure.

Learn Through Industry Projects: Work on machine learning models, AI applications, predictive analytics projects, and business case studies using real datasets.

4-Week Internship Experience: Apply your learning through a structured internship designed to simulate real industry workflows and project environments.

1-Year Placement Support: Receive long-term career assistance including resume building, portfolio reviews, mock interviews, LinkedIn optimization, and hiring support.

Future-Focused Curriculum: Master Python, Statistics, Machine Learning, Deep Learning, Generative AI, Data Visualization, and modern AI workflows used across industries.

Our goal is to help learners become confident Data Science and AI professionals capable of solving real-world business problems.

Who Can Enroll in this Data Science Course in Jodhpur?

Our Data Science Course in Jodhpur is suitable for learners from various educational and professional backgrounds.

Students & Fresh Graduates: Build strong technical skills and prepare for future careers in AI, Machine Learning, and Data Science.

Working Professionals: Upskill or switch careers by learning one of the most in-demand technologies in today's job market.

Beginners with No Coding Experience: Start from the fundamentals and gradually progress toward advanced AI and Machine Learning concepts.

Engineers & Technical Learners: Expand your expertise with modern AI tools, predictive modeling, and data-driven problem solving.

Business Owners & Entrepreneurs: Use data and AI insights to improve business decisions, customer experiences, and operational efficiency.

Career Opportunities After Completing a Data Science Course in Jodhpur

Data Science and AI professionals are among the most sought-after talent globally, and the demand continues to grow every year.

Data Scientist: Build predictive models, uncover patterns in data, and help organizations make smarter business decisions.

Machine Learning Engineer: Develop intelligent systems and machine learning models that automate processes and improve efficiency.

AI Engineer: Create AI-powered applications, workflows, and solutions for real-world business use cases.

Data Analyst: Transform raw data into meaningful insights through reporting, visualization, and business analysis.

Business Analyst: Use data to identify trends, improve performance, and support strategic decision-making.

Data Engineer: Build and manage data systems that power analytics and machine learning applications.

With AI adoption increasing across industries, professionals with Data Science and AI skills can explore opportunities in startups, enterprises, consulting firms, and technology companies.

Online & Offline Data Science Course in Jodhpur

We offer both online and offline learning options to match different learning preferences and schedules.

Offline Classroom Training: Learn directly from mentors at our Ratanada campus with face-to-face interaction, hands-on activities, and collaborative learning.

Online Learning: Attend live sessions, access recorded content, complete projects remotely, and learn from anywhere.

Both formats provide access to the same curriculum, projects, internship opportunities, mentorship, and placement support.

Why Data Science & AI is a High-Growth Career in Jodhpur

Jodhpur is witnessing steady growth in technology adoption across education, healthcare, manufacturing, retail, hospitality, and service industries. Businesses are increasingly using data to improve customer experiences, streamline operations, and drive growth.

As organizations embrace AI-powered tools and automation, the demand for professionals who understand Data Science, Machine Learning, and Artificial Intelligence continues to rise.

The combination of strong career growth, high earning potential, and opportunities across multiple industries makes Data Science & AI one of the most future-focused career paths available today.

About Our Data Science Institute in Jodhpur

WsCube Tech's Data Science & AI Institute in Jodhpur is committed to helping learners develop practical skills that align with current industry requirements.

Located in Ratanada, our center offers an engaging learning environment where students work on projects, participate in practical sessions, and receive guidance from experienced mentors.

Our curriculum is regularly updated to include the latest advancements in AI, Machine Learning, and Data Science. Every topic is taught through implementation, ensuring learners gain practical experience alongside conceptual understanding.

In addition to technical training, we provide career support services including portfolio building, interview preparation, internship opportunities, and placement assistance.

How to Enroll in Our Data Science & AI Course in Jodhpur

Getting started is simple.

Step 1:

Explore the curriculum, internship details, projects, and placement support.

Step 2:

Connect with our counselors to discuss your background and career goals.

Step 3:

Choose the learning mode and batch that best suits your schedule.

Step 4:

Visit our Ratanada, Jodhpur campus or complete your enrollment.

Step 5:

Begin your journey toward becoming a skilled Data Science and AI professional.

Join our Data Science Course in Jodhpur and build the skills needed to thrive in the rapidly evolving world of Artificial Intelligence.