1. Programming Foundations and Setup (Week 1)
- •Introduction to data science as a field
- •Python basics for analysis work
- •Working in Anaconda and Jupyter Notebook
- •Using Git and GitHub for project tracking
Learn data science in Ahmedabad with Python, R, SQL, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, and cloud tools used in real analytics work. Build the skills to clean data, analyze patterns, train models, and present results clearly.
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
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Learning data science is only useful when you can apply it in interviews and on the job. Inventateq supports learners in Ahmedabad with practical placement guidance so they can move from classroom exercises to interview-ready profiles for analyst and data science roles.
Ahmedabad hiring for data science and analytics roles comes from IT services, product teams, finance, retail, e-commerce, and operations teams. Pay grows with stronger Python, SQL, dashboarding, machine learning, and deployment skills.
Data Science Average Salary by Experience
Ahmedabad hiring for data science and analytics roles comes from IT services, product teams, finance, retail, e-commerce, and operations teams. Pay grows with stronger Python, SQL, dashboarding, machine learning, and deployment skills.
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 keeps the training practical from the start. The course uses Python, SQL, Pandas, NumPy, machine learning libraries, and visualization tools in a sequence that matches how data work is actually done.
We stand apart through our commitment to:

Live online training from Ahmedabad is useful for learners who want flexibility without losing structure. You still get live teaching, practical tasks, and mentor guidance across the same data science syllabus.
Good for students who want a job-oriented start in analytics and data science.
Useful for people moving from reporting, support, or operations into data roles.
Fits learners from technical and non-technical backgrounds who can commit to practice.
Best for anyone targeting data analyst, BI, or junior data scientist roles.
Helps those who want a structured path into data science from another field.
Mode: Classroom, live online, and corporate training options available.
Learning style: Theory is followed by practical exercises and assignments.
Support: Mentor guidance is available during the training sessions.
Outcome: Built for job-ready data science and analytics preparation.
No prior data science experience is needed to begin.
Rated 4.9/5
Inventateq focuses on practical training, not just theory. The course is built around the tools, libraries, and workflows that support real data analysis, reporting, and model-building work.
Learners work through analysis, model-building, and reporting tasks that match real job expectations. The course gives you practice with the tools and workflow used by data teams.
Learn to clean data, explore patterns, and summarize findings using Python and SQL.
Turn analysis into clear reporting with Tableau, Power BI, and Excel.
Use Scikit-learn and related tools to train and evaluate basic models.
Practice with Pandas, NumPy, and database queries for day-to-day data work.
Get exposure to Spark, Hadoop, and cloud platforms used in larger environments.
Organize your learning into a portfolio that supports job applications.
The certification confirms that you have completed structured training in data science tools, analysis methods, and project work. It helps show employers that you have practical exposure to the workflow used in analyst and junior 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 basics, data handling, and SQL before moving into machine learning and visualization. Beginners can follow the structure if they practice consistently.
Yes. The syllabus includes practical work with Python, Pandas, NumPy, SQL, Tableau, Power BI, and model-building tools. The training is intended to help you explain your work in interviews, not just memorize concepts.
Yes. Placement support includes resume help, interview practice, and career guidance for roles like Data Analyst, BI Analyst, and Junior Data Scientist. The support is built around the course content and the job roles listed for the program.
Yes. Non-IT learners can join if they are ready to learn the tools step by step and complete practice tasks. The course covers fundamentals before moving to advanced topics.
Yes. The course is available in live online mode, along with classroom and corporate training options. Online learners still get interactive sessions, practical exercises, and mentor support.
The syllabus is arranged across multiple weeks of structured learning and project work. The exact pace can vary by batch mode and learning schedule. You should expect enough time for theory, practice, assignments, and revision.
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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!