Learn Data Science Training in Surat with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Apache Spark, Hadoop, Git, Docker, and cloud tools used in real data workflows. You work through the same mix of data handling, analysis, machine learning, and project delivery that employers expect from a Data Science Training Institute in Surat.
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
Free Session
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Learning Data Science is only half the job. You also need a resume, a portfolio, and interview preparation that match the roles companies in Surat hire for, from junior data analyst to data scientist and BI analyst. Inventateq keeps the training practical and adds support that helps you present your skills clearly.
Data science roles in Surat are commonly hired across analytics teams, reporting functions, product support, operations, and growing tech-led businesses. As experience grows, salaries rise with stronger Python, SQL, machine learning, and dashboarding skills.
Data Science Average Salary by Experience
Data science roles in Surat are commonly hired across analytics teams, reporting functions, product support, operations, and growing tech-led businesses. As experience grows, salaries rise with stronger Python, SQL, machine learning, and dashboarding skills.
Data Science Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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Inventateq keeps Data Science Training in Surat practical from day one. The course follows a clear path through Python, SQL, data handling, machine learning, dashboards, and project work so you learn how the tools connect in real tasks, not as isolated theory.
We stand apart through our commitment to:
Live online Data Science training in Surat is available for learners who want flexibility without losing structure. You join scheduled classes, complete assignments, and get mentor support for the same tools, topics, and projects covered in the classroom batches.
Students who want to start in data analytics, junior data analyst, or data science roles with practical tool-based training.
People in reporting, MIS, operations, or support roles who want to move into analytics or data science.
Learners from non-programming backgrounds who need a structured path in Python, SQL, and data analysis.
Those already using dashboards or spreadsheets who want stronger machine learning and data handling skills.
Candidates looking for Data Science Training in Surat with placement-oriented interview preparation.
Duration: Structured batch plan based on the syllabus and project workload.
Mode: Classroom training and live online training options available.
Batch Options: Weekday and weekend batches for different schedules.
Training Style: Theory, practicals, assignments, and certification support.
No prior job experience is needed to start the course.
Rated 4.9/5
Inventateq focuses on practical training that matches the skills used in actual data roles. The course is built around tools, exercises, and project work so learners can move from concepts to job-ready work without unnecessary theory.
This course gives you practical experience with data handling, analysis, machine learning, and reporting. You leave with projects and a stronger understanding of the tools used in data science jobs.
Practice Python, SQL, Pandas, NumPy, and Jupyter Notebook in the same flow used for data work.
Turn raw datasets into cleaned, structured, and usable analysis outputs.
Use Tableau, Power BI, and Excel to present findings clearly.
Train models using Scikit-learn and understand how they support predictions.
Get exposure to Spark, Hadoop, and database tools for larger datasets.
Strengthen your resume, project explanation, and role readiness for placement support.
The certification confirms that you have completed the core data science workflow, from analysis and visualization to machine learning and project work. It helps employers see that you trained on the tools and practices used in entry-level and growth-stage data roles.
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.
Validate your skills with recognized industry credentials.
Yes, it is suitable for beginners who want a structured start in data science. The training begins with Python, Jupyter Notebook, and basic data handling before moving into SQL, dashboards, and machine learning. If you can commit to regular practice, you can follow the course even without a technical background.
You will learn Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Excel, Spark, Hadoop, Git, Docker, and cloud tools like AWS SageMaker and Google Cloud Vertex AI. The course uses these tools in a practical sequence. That helps you understand not just what each tool does, but when to use it.
Yes, the course is practical and includes assignment-based learning and project work. You practice cleaning data, analyzing it, building visual reports, and applying machine learning concepts. The final part of the course focuses on project presentation and job preparation.
Yes, placement support is part of the course flow. You get help with resume preparation, interview practice, and guidance on presenting your projects. The support is aligned to job roles such as data analyst, BI analyst, and junior data scientist.
Yes, many learners start without a strong programming background. The course introduces Python and data handling in a simple sequence before moving into more advanced topics. With regular practice and mentor support, non-programmers can build a solid foundation.
Yes, live online training is available. You can attend classes remotely and still follow the same syllabus, assignments, and project work. This works well if you want the course from Surat but need the flexibility of learning from home.
The duration depends on the batch format and the pace of the syllabus, but the training is structured across multiple modules and project work. The curriculum is planned to cover the full data science workflow, not just a few tools. You can choose a batch style that fits your schedule.
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