6840+ Job Posting Available
6840+ Job Posting Available
Placements in Data Science: 1,342

Data Science Course in Jaipur with Certification

Learn data science in Jaipur with Python, R, SQL, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, Docker, and cloud tools used in real projects. This course takes you from core analysis to machine learning, model building, and deployment-ready workflows.

4.7/5 from 1,432 reviews
Python, SQL, and spreadsheet-to-model workflow covered step by step
Hands-on training with Jupyter Notebook, Pandas, NumPy, and Scikit-learn
Machine learning and deep learning practice using TensorFlow, Keras, and PyTorch
Visualization work with Tableau and Power BI for business reporting
Resume support, certification, and placement guidance for Jaipur roles
Job Interview
Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

Free Session

1 Hour Training Session

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Placement Record

How We Have Placed 10,000+ Students ?

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
8 LPA
Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
5.7 LPA
Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
7 LPA
Sai Krishna

Sai Krishna

7 LPAMLOps Engineer

First Source
7 LPA
Rafiya

Rafiya

7 LPAData Scientist

Tredence

Placement Assistance for Data Science Professionals in Jaipur

Learning data science is only useful when you can apply it in interviews and on the job. Inventateq keeps the focus on practical skills, interview preparation, and role-specific guidance so learners in Jaipur can move toward data analyst, data scientist, and BI roles with confidence.

Our Signature Career Support:

  • Resume preparation for data science, data analyst, and BI profiles
  • Mock interviews based on Python, SQL, statistics, and machine learning
  • Portfolio and project guidance using notebooks, dashboards, and model outputs
  • Career mentoring for entry-level and experienced learners shifting into data roles
  • Placement support aligned to data science, analytics, and machine learning openings

Data Science Salary Insights in Jaipur

Data science, analytics, and BI roles in Jaipur are commonly found in IT services, consulting, product support, e-commerce, finance, and operations teams. Pay typically grows with project exposure, Python and SQL depth, dashboarding skill, and experience with machine learning or deployment.

Data Science Average Salary by Experience

Why Students Choose Our Data Science Course in Jaipur?

4.7/5 Google Rating | 1,432+ Verified Reviews

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4.7 / 5

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4.7 / 5

By Sulekha Courses

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Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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GOOGLE RATING

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq Data Science Training Institute in Jaipur

Inventateq teaches data science the practical way: Python, SQL, data handling, machine learning, deep learning, visualization, and project work are covered in a clear sequence. Learners work through the tools and methods that matter in interviews and day-to-day analytics work, not just theory.

We stand apart through our commitment to:

  • Learn Python, R, SQL, and notebook-based analysis in a structured format
  • Build real projects with Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch
  • Practice dashboards and reporting with Tableau and Power BI
  • Get mentor support while working through assignments and interview preparation
  • Choose batches that fit working professionals, freshers, and career switchers
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online data science training from Jaipur gives you the same guided learning flow with screen-shared demos, assignments, and interactive doubt clearing. It suits working professionals and students who want to learn Python, machine learning, and analytics tools without traveling every day.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

Data Science Training Program

Fresh graduates

Good fit if you want an entry path into data analyst or junior data science roles.

Working professionals

Useful for analysts, testers, and support professionals moving into Python and analytics work.

Career switchers

Fits learners from non-data backgrounds who want a structured start with tools and projects.

Engineers and IT graduates

Helps you add machine learning, visualization, and deployment basics to your profile.

Business and finance learners

Useful if you want to work with reports, trends, forecasting, and decision support.

Quick Highlights of Inventateq Data Science Course

Course Duration

  • Mode: Classroom and live online training

  • Focus: Python, SQL, machine learning, and visualization

  • Practice: Assignments and project-based learning

  • Support: Mentor-led doubt clearing throughout the course

No prior data science experience is required to start.

Data Science Curriculum

1. Data Science foundation and workflow (Week 1)

W1
  • Introduction to the data science path and how the job-oriented course is structured
  • Understanding the full workflow from data collection to analysis and reporting
  • Getting started with classroom, online, and practical training expectations
  • Using notebook-based learning to work through examples and exercises

2. Python basics for data work (Week 2)

W2
  • Python fundamentals for data tasks
  • Writing simple programs for analysis and automation
  • Working with variables, conditions, loops, and functions
  • Preparing code for notebook-based practice

3. R programming for analysis (Week 3)

W3
  • Using R for analytical tasks and statistical work
  • Comparing R and Python for common data use cases
  • Handling basic data operations in an analytics context
  • Building comfort with a second language used in data roles

4. SQL and database querying (Week 4)

W4
  • SQL basics for selecting, filtering, and joining data
  • Working with MySQL and PostgreSQL concepts
  • Understanding how data is stored and retrieved from databases
  • Using SQL as a core skill for analyst and BI roles

5. Data handling with Pandas and NumPy (Week 5)

W5
  • Cleaning and transforming datasets with Pandas
  • Using NumPy for array-based numerical work
  • Preparing data for analysis and model training
  • Handling missing values, formats, and basic feature prep

6. Data visualization and reporting (Week 6)

W6
  • Creating charts and summaries for business reporting
  • Using Tableau for interactive visualization work
  • Using Power BI for dashboard-style presentation
  • Turning raw data into readable insights for decision-makers

7. Machine learning fundamentals (Week 7)

W7
  • Introduction to supervised and unsupervised learning
  • Using Scikit-learn for core machine learning tasks
  • Training, testing, and evaluating models
  • Understanding the practical steps behind model selection

8. Deep learning tools and workflows (Week 8)

W8
  • Working with TensorFlow, Keras, and PyTorch
  • Understanding neural network basics and common use cases
  • Preparing datasets for deep learning exercises
  • Seeing how deep learning fits into modern data science work

9. Big data and distributed processing (Week 9)

W9
  • Introduction to Apache Spark and Apache Hadoop
  • Understanding large-scale data processing concepts
  • Working with tools used in bigger data environments
  • Connecting data engineering basics to analytics work

10. Cloud, deployment, and version control (Week 10)

W10
  • Using Git and GitHub for version tracking and collaboration
  • Introduction to Docker for portable environments
  • Exposure to AWS SageMaker and Google Cloud Vertex AI
  • Understanding how data science models move toward deployment

11. Databases and data storage tools (Week 11)

W11
  • Working with MySQL, PostgreSQL, and MongoDB concepts in practice
  • Understanding structured and flexible data storage formats
  • Using SQL alongside database platforms for analysis
  • Connecting storage choices to reporting and modeling needs

12. Portfolio, certification, and interview preparation (Week 12)

W12
  • Completing assignments and guided projects
  • Preparing a resume around the tools learned in the course
  • Reviewing interview questions for analyst and data science roles
  • Closing with certification and job-hunt preparation

Rated 4.9/5

Why Inventateq for Data Science Training in Jaipur?

Inventateq keeps the course practical from the start, with tool-based learning and mentor support at every stage. The syllabus is built around the work you will actually do in data roles: querying, cleaning, modeling, visualizing, and presenting results.

Why Students Trust Inventateq Jaipur

  • Trainers explain data science clearly and keep the sessions practical
  • The curriculum covers the tools used in real analytics and machine learning work
  • Students get support while they work through assignments and projects
  • The learning environment is structured for steady progress and doubt clearing
  • Placement guidance is part of the course, not added as an afterthought

Build Practical Data Science Skills for Real Job Roles

You work through the tools, tasks, and project flow that employers expect from entry-level and growing data professionals. By the end, you can handle data cleaning, analysis, modeling, and reporting with more confidence.

Work with real tools

Use Python, SQL, Pandas, NumPy, and Jupyter Notebook in a guided workflow so the tools feel familiar in interviews and project work.

Build analytics projects

Create practical work with visualization tools and data preparation steps that reflect real business use cases.

Train machine learning models

Move from basic analysis into Scikit-learn and deep learning tools like TensorFlow, Keras, and PyTorch.

Understand data storage

Get exposure to MySQL, PostgreSQL, and MongoDB so you can work with data from different sources.

Present insights clearly

Learn to use Tableau and Power BI to turn analysis into dashboards and reports that others can read quickly.

Prepare for interviews

Finish with resume support, project review, and role-focused preparation for Jaipur job applications.

Certification for Data Science Training

The certification confirms that you have completed structured training in data analysis, machine learning, visualization, and related tools. It helps employers see that your learning was guided, practical, and connected to job-ready skills.

Python, R, SQL, and notebook-based data work

Earn this certificate upon successful completion of our training program.

Pandas, NumPy, and Scikit-learn for analysis and machine learning

Validate your skills with recognized industry credentials.

TensorFlow, Keras, and PyTorch for deep learning exposure

Earn this certificate upon successful completion of our training program.

Tableau and Power BI for reporting and dashboards

Validate your skills with recognized industry credentials.

Detailed Insights: Data Science Training in Jaipur

Students Frequently Asked Questions

Is this data science course in Jaipur suitable for beginners?

Yes, it is suitable for beginners who are starting with Python, SQL, and analytics tools. The training is structured so learners can build step by step instead of jumping straight into advanced topics. If you are from a non-data background, you can still follow the course with regular practice.

Will I get hands-on projects in this course?

Yes, the course is designed around practical work. You will use tools like Jupyter Notebook, Pandas, NumPy, Scikit-learn, Tableau, and Power BI while working through assignments and project-style tasks. That helps you build confidence with real data workflows.

Does Inventateq provide placement assistance for data science roles?

Yes, placement support is part of the course structure. The team helps with resume preparation, mock interviews, and guidance for roles like data analyst, junior data scientist, and BI analyst. The support is practical and focused on how to present your skills to recruiters.

Can non-technical students join this data science training?

Yes, non-technical students can join if they are willing to learn the basics in a structured way. The course starts with core tools and gradually moves into machine learning and reporting. Regular practice is important, but you do not need prior data science experience to begin.

Is online training available from Jaipur?

Yes, live online training is available for learners in Jaipur. You can attend mentor-led sessions, ask doubts, and complete assignments from home. It is a good option for working professionals and students who need flexibility.

What is covered after Python and SQL in this course?

After Python and SQL, the course moves into data handling with Pandas and NumPy, visualization with Tableau and Power BI, and machine learning with Scikit-learn. It also includes TensorFlow, Keras, PyTorch, Git, Docker, and cloud exposure. This gives you a wider view of how data science work is done in practice.

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