1. Programming Foundations for Data Work (Week 1)
- •Python basics for data tasks
- •R introduction for analytical work
- •SQL fundamentals for querying data
- •Working in Anaconda and Jupyter Notebook
Learn data science in Bhubaneswar with Python, R, SQL, Pandas, NumPy, Scikit-learn, Tableau, Power BI, and Jupyter Notebook. The course is built to help you work on real data analysis, machine learning, and reporting tasks with practical tools used in the syllabus.
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Freshers to IT
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Learning data science is only part of the outcome. Inventateq adds placement support so you can present your skills clearly, handle interviews better, and apply for roles that match your training in Bhubaneswar and beyond.
Data science hiring in Bhubaneswar covers analytics, reporting, operations, marketing, finance, and junior machine learning roles. Pay grows with stronger Python, SQL, BI, and model-building experience.
Data Science Average Salary by Experience
Data science hiring in Bhubaneswar covers analytics, reporting, operations, marketing, finance, and junior machine learning roles. Pay grows with stronger Python, SQL, BI, and model-building experience.
Data Science Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
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4.7/5 · 1,432+ Verified Reviews
Inventateq keeps the training practical from the start. The syllabus moves through Python, R, SQL, Pandas, NumPy, Scikit-learn, Tableau, Power BI, Spark, Hadoop, Docker, and cloud tools with a clear focus on job use, not theory alone.
We stand apart through our commitment to:

Live online data science classes are available for learners in Bhubaneswar who want to study from home or while working. The sessions follow the same practical curriculum and include live explanations, exercises, and support from the mentor team.
Good for students starting a career in analytics, data science, or BI.
Useful for those moving from reporting, support, or operations into data roles.
Suitable if you are new to Python and want a structured start.
Helps learners move into analyst roles with SQL, Excel, and dashboards.
Fits anyone who wants to build machine learning basics after core analytics.
Mode: Available in classroom and live online formats.
Training style: Practical sessions with assignments and guided exercises.
Learning focus: Covers analysis, reporting, machine learning, and deployment basics.
Support: Mentor help is included throughout the course.
No prior data science experience is needed to start.
Rated 4.9/5
Inventateq teaches data science the way it is used in real work: clean data, analyze it, visualize it, build models, and explain results clearly. The training follows the software and syllabus in the course row, so learners practice the exact tools they need for analytics and data science roles.
By the end of the course, learners can work with data from collection to reporting and basic model building. The training also gives you practice in the tools that appear in real analytics and junior data science jobs.
You learn to use Python, R, and SQL for day-to-day data tasks, from loading data to querying and organizing it for analysis.
You practice Tableau and Power BI so you can turn raw data into visuals that support business decisions.
You get hands-on exposure to Scikit-learn, TensorFlow, Keras, and PyTorch for core model-building tasks.
The syllabus includes Pandas, NumPy, and Jupyter Notebook so you can work through cleaning and transformation steps properly.
Apache Spark and Hadoop give you exposure to larger-scale data processing concepts used in industry.
You work on projects, assignments, and explanations that help you talk about your skills with clarity.
The certification confirms that you completed practical training in data analysis, visualization, machine learning basics, and the tools listed in the course. It gives employers a simple way to see that you have trained on the software and workflows used in data science 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. The course starts with Python, R, SQL, and basic data handling, so beginners can follow the training step by step. Mentors also support doubt clearing and practical exercises, which helps if you are new to analytics.
Yes, the training is practical and assignment-based. You work through data analysis, visualization, machine learning basics, and tool usage so you can explain real work in interviews.
Yes. Placement support includes resume help, mock interviews, and guidance for job roles like Data Analyst, BI Analyst, and Junior Data Scientist. The support is meant to help you move from training to job search in a structured way.
Yes, many learners from non-programming backgrounds can join if they are ready to learn the tools step by step. The course covers the foundations first, then moves into analysis and machine learning. Support from mentors makes the transition easier.
Yes. Live online training is available and can be attended from Bhubaneswar. It includes interactive sessions, task-based learning, and mentor support similar to classroom training.
The syllabus is structured across programming, analysis, visualization, machine learning, big data, and cloud workflow topics. You learn tools such as Python, R, SQL, Pandas, NumPy, Scikit-learn, Tableau, Power BI, Spark, Hadoop, Git, Docker, and cloud platforms.
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