Data Science and Analytics specialization course in Jaipur
About The Program
Looking for the best Data Science courses with placement guarantee in Jaipur? At Regex Software, we offer industry-focused Data Science specialization courses in Jaipur designed to help you master AI, Machine Learning, Big Data, and Analytics. Our Data Science training institute in Jaipur provides hands-on training with real-world projects, expert mentorship, and 100% placement assistance. Whether you’re a fresher, IT professional, or career switcher, our Data Science and Analytics courses in Jaipur equip you with the skills to land a high-paying job in top companies. Enroll now and start your journey with the best Data Science coaching centre in Jaipur!
At Regex Software, we take pride in being a leading Data Science training institute in Jaipur, offering top-notch education and career support. With increasing demand for data scientists, this field offers some of the most lucrative career opportunities. Join the best Data Science course in Jaipur with Regex Software and take the first step towards a successful career. Limited seats available – enroll today!
Whether you’re a beginner or an engineering graduate aiming to upskill, our Data Science and Analytics courses in Jaipur are structured to meet different learning needs. We go beyond theory by focusing on case studies, real datasets, and cloud-based labs.
What truly sets us apart is our best Data Science courses with placement guarantee. With 100% placement support, resume building, and mock interviews, we ensure every learner walks out industry-ready. We also offer flexible learning options through our Data Engineering online courses with placement, allowing you to learn from anywhere while still receiving expert guidance and career support.
Our course stands out among the top Data Science engineering courses in Jaipur, covering essential skills like Python, Machine Learning, Statistics, SQL, Big Data tools, and advanced data visualization. Learners also get exposure to real-world projects and tools used by top companies, giving them a competitive edge in the job market.
Upcoming Batch Schedule
December 2025
01 December – Batch 1
08 December – Batch 2
15 December – Batch 3
22 December – Batch 4
January 2026
05 January – Batch 1
12 January – Batch 2
19 January – Batch 3
26 January – Batch 4
February 2026
02 February – Batch 1
09 February – Batch 2
16 February – Batch 3
23 February – Batch 4
Weekly Duration
20 Hours Per week
Location
Duration
Participants
What you Will Leran
Industry-ready skills with real-world tools & technologies
Python
Machine Learning
Deep Learning
Generative Ai
Agentic Ai
Python
Machine Learning
Deep Learning
Generative Ai
Agentic Ai
Python
Machine Learning
Deep Learning
Generative Ai
Agentic Ai
Program Highlights
What you get during the program & what you become after completion
Study Material
- E-Notes
- Assignments & Poll test
- Live Video Lectures
- Access of Recordings & Study Material
- Mentorship Support
- Work on multiple Minor Projects & Use Cases
- Live & Minor Projects
Your Output
- Able to think out of the box
- Become expert in multiple technology domains like: Python, Machine Learning, Deep Learning, Map Reduce, Apache Spark, Generative Ai, Agentic AI, Kafka, and AWS(for deployment)
- Understand working of ML models deployment with AWS
- Build projects on multiple technology domains
- Work on more than 25 Use CASES & Projects
- Learn to deploy your models on AWS Sagemaker or Google cloud Platform
Why Choose Us
What makes our program different
Live Sessions
Live Sessions by Expertise Trainers and Access of Recorded Session is also available.
Live Projects
Live Sessions by Expertise Trainers and Access of Recorded Session is also available.
24*7 Support
24*7 Mentorship Support available for all Students to clear all of your doubts.
Opportunities
REGex provides Internship / Job opportunities to the best Students in different Companies.
Placement Packages Snapshot
Latest placement highlights for our candidates
IT Candidates
Minimum Package
4 LPA
Average Package
4 – 6 LPA
Overall Highest Package
39 LPA
Non-IT Candidates
Minimum Package
4 LPA
Average Package
4 – 6 LPA
Overall Highest Package
39 LPA
Placement Process
At REGex Software, we follow a structured and results-driven placement approach to ensure your career success.
Training & Performance Analysis
Training starts from Day 1
Weekly performance review
Hands-on learning approach
Training & Performance Analysis
Training starts from Day 1
Weekly performance review
Hands-on learning approach
Training & Performance Analysis
Training starts from Day 1
Weekly performance review
Hands-on learning approach
Training & Performance Analysis
Training starts from Day 1
Weekly performance review
Hands-on learning approach
Course Content
Python
- What is Python?
- History and evolution of Python.
- Python’s popularity and use cases.
- Setting up Python (installation).
- Running Python scripts and using the interactive shell.
- Arithmetic Operators(+,-,*,/,//,%,**)
- Comparison / Relational Operators (== ,!=)
- Assignment Operators
- Logical Operators
- Bitwise Operators
- Identity Operators
- Conditional statements (if, elif, else).
- Looping structures (for and while loops).
- Iterating through sequences (lists, strings, dictionaries).
- Range and enumeration.
- Using break and continue.
- Lists: creation, manipulation, and methods.
- Tuples: creation, immutability, and uses.
- Dictionaries: key-value pairs and operations.
- Sets: unique elements and set operations.
- List comprehensions.
- Problem Solving on LeetCode question
- Problem Solving on LeetCode question
- What is a Module?
- Types of Modules
- Why Use Modules?
- Importing Modules
- What is a Package?
- Why Use Packages?
- Namespace Management
- Popular Python Packages (
numpy,pandas,flask,django,requests,matplotlib, etc.)
- Reading from and writing to files.
- Working with different file modes (read, write, append).
- Using context managers with files.
- Handling errors with try and except.
- Raising exceptions.
- Handling multiple exceptions.
- Using the ‘finally’ block
- Classes and objects.
- Attributes and methods.
- Inheritance and encapsulation.
- Polymorphism and method overriding.
- Constructors and destructors.
- Classes and objects.
- Attributes and methods.
- Inheritance and encapsulation.
- Polymorphism and method overriding.
- Constructors and destructors.
- Real-world case studies.
- Job opportunities and career paths.
- Contributing to open-source projects.
- Staying up to date with Python developments.
Machine Learning
- Machine learning applications
- ML vs DL
- Basics of Python [Syntax]
- Working with Pandas, Numpy & Matplotlib
■ Working with Missing Data
■ Data Grouping
■ Data Subsetting
■ Merging & Joining Data Frames - Importing Libraries & Datasets
- Munging & handling missing data
- Splitting the dataset into Training set & Test set
- What is actual machine learning
- Various Aspects of Data – type, Variables & Category
- Machine Learning & its Various types
- About Supervised & Unsupervised Learning
- Understanding Simple Linear Regression
- Problem Solving on LeetCode question
- What is a Module?
- Types of Modules
- Why Use Modules?
- Importing Modules
- What is a Package?
- Why Use Packages?
- Namespace Management
- Popular Python Packages (
numpy,pandas,flask,django,requests,matplotlib, etc.)
- Reading from and writing to files.
- Working with different file modes (read, write, append).
- Using context managers with files.
- Handling errors with try and except.
- Raising exceptions.
- Handling multiple exceptions.
- Using the ‘finally’ block
- Classes and objects.
- Attributes and methods.
- Inheritance and encapsulation.
- Polymorphism and method overriding.
- Constructors and destructors.
- Classes and objects.
- Attributes and methods.
- Inheritance and encapsulation.
- Polymorphism and method overriding.
- Constructors and destructors.
Deep Learning
- Machine learning applications
- ML vs DL
- Basics of Python [Syntax]
- Working with Pandas, Numpy & Matplotlib
■ Working with Missing Data
■ Data Grouping
■ Data Subsetting
■ Merging & Joining Data Frames - Importing Libraries & Datasets
- Munging & handling missing data
- Splitting the dataset into Training set & Test set
- What is actual machine learning
- Various Aspects of Data – type, Variables & Category
- Machine Learning & its Various types
- About Supervised & Unsupervised Learning
- Understanding Simple Linear Regression
- Problem Solving on LeetCode question
- What is a Module?
- Types of Modules
- Why Use Modules?
- Importing Modules
- What is a Package?
- Why Use Packages?
- Namespace Management
- Popular Python Packages (
numpy,pandas,flask,django,requests,matplotlib, etc.)
- Reading from and writing to files.
- Working with different file modes (read, write, append).
- Using context managers with files.
- Handling errors with try and except.
- Raising exceptions.
- Handling multiple exceptions.
- Using the ‘finally’ block
Generative AI
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Database
Power BI
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Big Data
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast