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

Data Science Training in New York with Certification

Learn data science in New York with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, and Jupyter Notebook. Build practical analytics and machine learning skills through classroom or live online training with project work and placement support.

4.7/5 from 1,432 reviews
Hands-on training in Python, SQL, Pandas, NumPy, and Jupyter Notebook
Machine learning practice with Scikit-learn, TensorFlow, Keras, and PyTorch
Data visualization work using Tableau, Power BI, and Excel
Projects that follow the course syllabus and real data science workflows
Certification, resume help, and interview preparation for New York job 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 90 Days + Placement

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

Free Session

1 Hour Training Session

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Placement Assistance for Data Science Professionals in New York

Learning data science is only part of the goal. You also need a clear path to interviews, strong project proof, and support in presenting your skills for roles in analytics, machine learning, and data engineering in New York. Inventateq focuses on practical placement support that fits the job roles covered in the course.

Our Signature Career Support:

  • Resume preparation for data science, data analyst, and machine learning roles
  • Portfolio guidance based on Python, SQL, Tableau, and machine learning projects
  • Mock interviews for analyst, data scientist, and BI roles
  • Support with job-ready presentation of assignments and capstone work
  • Career mentoring for fresher and experienced candidates moving into data roles

Data Science Salary Insights in New York

New York hires data science talent across finance, media, retail, healthcare, consulting, and tech-driven teams. Pay grows with hands-on experience in Python, SQL, machine learning, and business reporting.

Data Science Average Salary by Experience

Why Students Choose Our Data Science Course in New York?

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

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

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About Inventateq Data Science Training Institute in New York

Inventateq teaches data science with a practical path from basics to applied work. The syllabus and toolset move through Python, R, SQL, data handling, visualization, machine learning, and deployment-oriented skills so you can work on real tasks instead of only theory.

We stand apart through our commitment to:

  • Learn data science with Python, SQL, Pandas, NumPy, and Jupyter Notebook
  • Practice machine learning with Scikit-learn, TensorFlow, Keras, and PyTorch
  • Work on reporting and dashboards using Tableau, Power BI, and Excel
  • Get mentor guidance on assignments, projects, and interview readiness
  • Choose classroom or live online batches that suit your schedule
 classes
Live Online
Remote Learning

AI Online Live Classes

The live online data science training from New York follows the same practical curriculum and trainer interaction. You can join from anywhere, attend the sessions live, and complete assignments and projects with guided support.

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 in New York

Fresh graduates

Good for students who want a job-focused start in data science, analytics, or BI roles.

Working professionals

Useful for professionals moving into data analysis, reporting, or machine learning work.

Non-programmers

Suitable for learners who are starting with Python, SQL, and data basics from the beginning.

Analysts

Best for people already using spreadsheets or reports and wanting deeper technical skills.

Career switchers

Fits learners who want a practical route into data roles in New York.

Quick Highlights of Inventateq Data Science Course

Course Duration

  • Mode: Classroom and live online options

  • Format: Theory, practicals, assignments, and certification

  • Pace: Structured learning with trainer-led sessions

  • Support: Weekday and weekend batch options

No prior data science experience is required to start.

Data Science Curriculum in New York

1. Programming and Data Foundations (Week 1)

W1
  • Introduction to data science concepts and workflow
  • Python basics for data work
  • R fundamentals for analysis
  • Setting up and using Anaconda and Jupyter Notebook

2. Working with Data (Week 2)

W2
  • Using SQL to query data
  • Data manipulation with Pandas
  • Numerical operations with NumPy
  • Connecting analysis work to MySQL, PostgreSQL, and MongoDB

3. Data Visualization and Reporting (Week 3)

W3
  • Visual exploration of data
  • Creating charts and reports in Tableau
  • Building dashboards in Power BI
  • Using Excel for analysis and presentation

4. Statistics and Analytics (Week 4)

W4
  • Core statistical concepts for data science
  • Understanding patterns and trends in datasets
  • Applying analysis methods to business questions
  • Preparing data for modeling

5. Machine Learning Basics (Week 5)

W5
  • Introduction to supervised and unsupervised learning
  • Using Scikit-learn for modeling
  • Model evaluation and validation
  • Feature handling for prediction tasks

6. Advanced Model Building (Week 6)

W6
  • Working with TensorFlow
  • Using Keras for neural network development
  • Using PyTorch for deep learning tasks
  • Comparing model approaches for different problems

7. Big Data and Scalable Processing (Week 7)

W7
  • Introduction to Apache Spark
  • Understanding Apache Hadoop
  • Processing larger datasets
  • Data pipeline thinking for analytics work

8. Version Control and Collaboration (Week 8)

W8
  • Using Git for version control
  • Managing code on GitHub
  • Collaborative project workflow
  • Keeping work organized for interviews and teams

9. Cloud and Deployment Tools (Week 9)

W9
  • Using Docker for environment setup
  • Working with AWS SageMaker
  • Using Google Cloud Vertex AI
  • Introduction to Snowflake for data work

10. Projects and Interview Preparation (Week 10)

W10
  • Applying the syllabus in practical projects
  • Preparing a portfolio for job applications
  • Resume preparation
  • Interview practice for analyst and data science roles

Rated 4.9/5

Why Inventateq for Data Science Training in New York?

Inventateq keeps the training practical and focused on the tools used in real data roles. The course moves from data handling and visualization to machine learning and cloud exposure, so learners build usable skills step by step.

Why Students Trust Inventateq New York

  • Trainers explain each topic in a simple, structured way
  • The curriculum is aligned to current data science tools and workflows
  • Students get support during assignments, projects, and interview preparation
  • The environment is practical and focused on steady skill building
  • Learners value the clear process from training to certification to placement help

Build Practical Data Science Skills for New York Careers

You learn by working with the tools and topics that appear in real analyst and data science tasks. By the end, you have practical project experience, tool familiarity, and interview-ready proof of work.

Work with Real Data Tools

Practice Python, SQL, Pandas, NumPy, and Jupyter Notebook in a structured learning flow. You build comfort with the tools used in entry-level and mid-level data roles.

Create Reports and Dashboards

Use Tableau, Power BI, and Excel to turn data into useful visual output. This is important for analyst and BI roles in New York.

Build Machine Learning Projects

Apply Scikit-learn, TensorFlow, Keras, and PyTorch to practical model-building exercises. The focus is on understanding and applying the workflow, not just reading about it.

Understand Data at Scale

Get introduced to Apache Spark and Apache Hadoop for bigger-data environments. This helps you speak confidently about scalable data work.

Use Cloud and Collaboration Tools

Work with Git, GitHub, Docker, AWS SageMaker, Google Cloud Vertex AI, and Snowflake. These tools strengthen your project setup and job readiness.

Present Your Skills Clearly

The course includes assignments, certification support, and interview preparation. That combination helps you explain your work in a professional way.

Certification for Data Science Training

The certification shows that you completed practical training in the course tools and workflow. It helps employers see that you have worked with the data science stack used in analysis, modeling, and reporting.

Python, SQL, and Jupyter Notebook

Earn this certificate upon successful completion of our training program.

Pandas, NumPy, and Scikit-learn

Validate your skills with recognized industry credentials.

Tableau, Power BI, and Excel

Earn this certificate upon successful completion of our training program.

Detailed Insights: Data Science Training in New York

Students Frequently Asked Questions

Is this data science course in New York suitable for beginners?

Yes. The course is structured to start from the fundamentals and move into applied tools and projects. If you are new to programming or analytics, you can still follow the training with regular practice and mentor support.

Will I work on hands-on projects in this data science training?

Yes. The syllabus is built around practical use of Python, SQL, data handling, visualization, and machine learning tools. You also get assignments and project-oriented learning so you can show real work in interviews.

Does Inventateq provide placement assistance for data science roles?

Yes. Placement support includes resume help, mock interviews, project presentation guidance, and career mentoring. The aim is to prepare you for roles like data analyst, junior data scientist, and BI analyst.

Can people from non-technical backgrounds join this course?

Yes, if you are ready to learn the basics step by step and practice regularly. The course covers core tools and concepts in a structured way, which helps career switchers and non-programmers build confidence. Mentor support also helps during difficult topics.

Is live online training available for learners in New York?

Yes. You can join live online training and attend the classes from New York or any location. The online mode follows the same practical curriculum, assignments, and instructor interaction as classroom training.

How long does the data science training take?

The course is delivered in a guided training format with practical sessions, assignments, and certification support. Exact batch timing can vary based on weekday or weekend options. You can contact Inventateq for the current schedule in New York.

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