Learn data science in Kolkata with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, and Excel. Build practical skills for analytics, machine learning, and deployment using the tools listed in the syllabus and software stack.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
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6,400+ (Placed)
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24,999₹
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Learning data science is only part of the outcome. You also need support to present your skills clearly, handle interviews, and move into roles like Data Analyst, Junior Data Scientist, BI Analyst, or Machine Learning Engineer in Kolkata and beyond.
Kolkata hiring for data science comes from analytics teams, IT services, product companies, finance, retail, and operations. Salary grows as you move from reporting and analysis work into machine learning, deployment, and lead-level data roles.
Data Science Average Salary by Experience
Kolkata hiring for data science comes from analytics teams, IT services, product companies, finance, retail, and operations. Salary grows as you move from reporting and analysis work into machine learning, deployment, and lead-level data roles.
Data Science Average Salary by Experience
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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Inventateq teaches data science in a practical sequence, starting with core tools and moving into machine learning, deep learning, and project work. The course curriculum is built around Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, and deployment tools, so you spend time on work that matches real jobs.
We stand apart through our commitment to:
The online experience gives Kolkata learners the same structured data science training in a live format. It is suitable for students and working professionals who want to study from home while still getting interactive teaching, assignments, and doubt support.
Good for students who want a structured entry into data science, analytics, and reporting roles.
Useful for professionals shifting into analytics, BI, or machine learning work.
Suitable for learners starting with Python, SQL, and basic data handling from the ground up.
Fits learners who want to move into data science, ML, or data engineering paths.
Ideal for anyone preparing for Data Analyst, BI Analyst, or Junior Data Scientist roles.
Mode: Classroom, live online, and corporate training
Training style: Theory followed by practical sessions
Batch options: Weekday and weekend batches available
Support: Free demo classes available before joining
The course format is designed for beginners as well as working professionals.
Rated 4.9/5
Inventateq keeps the focus on practical learning, clear teaching, and job-ready tools. The course is structured so learners build a real working understanding of data analysis, machine learning, visualization, and deployment steps.
By the end of the training, learners know how to work with data from cleaning and analysis to modeling and reporting. The course also gives practice with tools and workflows that are used in analyst, BI, and machine learning roles.
Learn to clean, query, and analyze data using the core tools used in entry-level analytics and data science work.
Use Tableau, Power BI, and Excel to create outputs that help teams understand trends and results.
Practice model building with Scikit-learn and apply machine learning methods to structured data.
Get familiar with TensorFlow, Keras, and PyTorch for modern model workflows.
Use assignments and guided practice to build confidence with real course tasks and datasets.
Present your learning clearly for roles such as Data Analyst, Junior Data Scientist, and BI Analyst.
The certification shows that you have completed practical training in data science tools, analysis, and machine learning basics. It helps employers see that you have worked through the course structure and can discuss your project and tool knowledge clearly.
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. The course is structured from basics into advanced topics, so beginners can start with Python, SQL, and data handling before moving into machine learning. The teaching style is practical and step-by-step, which helps new learners keep up.
Yes. The course includes assignment-based and project-oriented learning so you can practice what you study. The goal is to help you apply Python, SQL, visualization, and machine learning tools in a real workflow.
Yes. Placement support is part of the training process and includes resume help, interview preparation, and guidance for roles like Data Analyst, BI Analyst, and Junior Data Scientist. The support is focused on making your learning easier to present to employers.
Yes, if they are willing to learn the tools step by step. The course begins with core concepts and gradually moves into programming, data analysis, and machine learning. That makes it manageable for learners from non-technical backgrounds who want a structured path.
Yes. Inventateq offers classroom, live online, and corporate training options. If you are in Kolkata, you can join the mode that fits your schedule and still get practical instruction and mentor support.
The course is designed to build the skills needed for entry-level and growing data roles, starting from analysis and moving toward machine learning and leadership tracks. As your experience grows, you can move from junior analyst roles into senior data science and ML positions. Salary typically increases as you add project depth, model-building skills, and deployment knowledge.
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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!