1. Programming and Working Environment (Week 1)
- •Introduction to Python for data science
- •Anaconda setup and Jupyter Notebook usage
- •Basic working flow for notebooks and analysis
- •Introductory practice with code, cells, and output
Learn data science training in Dubai with a practical path through Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, GitHub, Docker, AWS SageMaker, and Google Cloud Vertex AI. The course is built around hands-on work in Jupyter Notebook, Anaconda, Spark, Hadoop, and databases like MySQL, PostgreSQL, MongoDB, and Snowflake.
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Learning data science is only useful when it leads to the right role. Inventateq keeps the training practical and connects your course work to the job roles companies look for in Dubai, from data analyst to machine learning engineer. The focus stays on interview readiness, project confidence, and clear career direction.
Data science roles in Dubai are hired across analytics teams, financial services, business intelligence, e-commerce, operations, and cloud-based product companies. Pay usually rises as you move from reporting and analysis into machine learning, data engineering, and lead-level ownership.
Data Science Average Salary by Experience
Data science roles in Dubai are hired across analytics teams, financial services, business intelligence, e-commerce, operations, and cloud-based product companies. Pay usually rises as you move from reporting and analysis into machine learning, data engineering, and lead-level ownership.
Data Science Average Salary by Experience
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Inventateq teaches data science in a direct, job-focused way. The syllabus moves from Python, SQL, and statistics into machine learning, visualization, deployment, and the tools used in real projects, so learners can apply what they study instead of only reading theory.
We stand apart through our commitment to:

Live online data science training is suitable for learners in Dubai who want flexibility without losing instructor support. Sessions stay interactive, with practical exercises, tool demos, and assignment feedback delivered in real time.
Good for freshers who want a clear start in data science with Python, SQL, and analytics basics.
Useful for analysts and IT professionals who want to move into data science, machine learning, or BI roles.
Fits people from finance, operations, sales, or support roles who want a structured transition into analytics.
Helps graduates build practical project experience before applying for analyst or trainee roles.
Suitable for learners willing to start from fundamentals and build skills step by step.
Duration: Structured as a practical program with guided learning and project work.
Mode: Available through classroom and live online training.
Learning Style: Theory, practice, assignments, and project implementation.
Access: Suitable for learners in Dubai who want flexible weekday or weekend learning.
You can start from basics and progress at a steady pace with mentor support.
Rated 4.9/5
Inventateq keeps the course practical from the first week. The training is built around the tools, workflow, and project steps that data science learners actually use, so the final outcome is usable skill, not just syllabus coverage.
By the end of the course, learners understand how to work with data, build models, create dashboards, and present results. The training emphasizes hands-on practice so you can show actual work in interviews and portfolio discussions.
Use Python, SQL, Pandas, NumPy, and Jupyter Notebook in a practical learning flow. This builds confidence with the tools that appear in most data science and analytics roles.
Learn to present insights using Tableau and Power BI. You practice turning raw data into dashboards that are easier for business teams to understand.
Apply Scikit-learn, TensorFlow, Keras, and PyTorch to model-building tasks. The course gives you the base needed to understand training, evaluation, and model use.
Work with databases, Spark, Hadoop, Git, and GitHub as part of the workflow. This helps you understand how data moves from source to analysis and project delivery.
The training includes resume support and interview practice tied to data analyst and data scientist roles. You learn how to explain projects and tools clearly.
See how Docker, AWS SageMaker, and Google Cloud Vertex AI fit into production workflows. This makes your profile more complete for modern data science teams.
The certification shows that you have completed practical training in data science tools, analysis methods, and project work. It helps employers see that you have trained across both fundamentals and applied workflows.
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 suitable for beginners who want a structured start. It begins with Python, Jupyter Notebook, and data handling basics before moving into SQL, machine learning, and deployment concepts.
Yes, the course is practical and project-oriented. You will work with data analysis, dashboards, machine learning tools, and project review support so you can present real work in interviews.
Yes, placement assistance is part of the support flow. Inventateq helps with resume preparation, interview practice, and guidance for data analyst, BI, and data science roles.
Yes, non-technical learners can join if they are ready to learn step by step. The course starts with fundamentals and gradually moves into tools and projects, which makes the transition manageable.
Yes, live online training is available. It is useful for learners who want instructor-led sessions without attending a physical classroom every day.
The course covers Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, GitHub, Docker, AWS SageMaker, and Google Cloud Vertex AI. You also get exposure to Spark, Hadoop, and databases like MySQL, PostgreSQL, MongoDB, and Snowflake.
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