1. Programming and Data Foundations (Week 1)
- •Introduction to data science concepts and workflow
- •Python basics for data work
- •R fundamentals for analysis
- •Setting up and using Anaconda and Jupyter Notebook
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.
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₹
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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.
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
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
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Success Result: Our students are competing at global levels. Watch their placement journey here.

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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:

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.
Good for students who want a job-focused start in data science, analytics, or BI roles.
Useful for professionals moving into data analysis, reporting, or machine learning work.
Suitable for learners who are starting with Python, SQL, and data basics from the beginning.
Best for people already using spreadsheets or reports and wanting deeper technical skills.
Fits learners who want a practical route into data roles in New York.
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.
Rated 4.9/5
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.
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.
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.
Use Tableau, Power BI, and Excel to turn data into useful visual output. This is important for analyst and BI roles in New York.
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.
Get introduced to Apache Spark and Apache Hadoop for bigger-data environments. This helps you speak confidently about scalable data work.
Work with Git, GitHub, Docker, AWS SageMaker, Google Cloud Vertex AI, and Snowflake. These tools strengthen your project setup and job readiness.
The course includes assignments, certification support, and interview preparation. That combination helps you explain your work in a professional way.
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.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
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.
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.
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.
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.
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.
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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Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!