Launch your career with a Tamkeen supported
Data Science Bootcamp

Q: Blending your background with data science?

If you come from engineering, mathematics, statistics, business, research, healthcare, or technical fields , you can take Data Science to become a Data Scientist, Machine Learning Analyst, Advanced Analytics Specialist, AI/Data Consultant, or Predictive Analytics Specialist .

Data science combines data analytics, AI, and machine learning to predict market trends, optimize logistics, and drive innovation. Our program provides the practical training needed to master these skills and move you directly into a high-impact role. Future-proof your career and unlock high salary potential by turning complex data into strategic wins.

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What you will learn

On Campus

Data Science Full Time Bootcamp

Duration: 12 weeks
Schedule: Sunday to Thursday from 9 a.m. to 5 p.m.
Start Date: 2026

Get hands-on training to master SQL, Excel, Tableau, Power BI, and Python, and become career-ready for a data science job in any industry.

View Syllabus

On Campus

Data Science Part Time Bootcamp

 Duration: 24 weeks
Schedule: 6 to 9 p.m. plus Saturday classes, totaling 18 hours per week
Start Date: 2026

Get hands-on training to master SQL, Excel, Tableau, Power BI, and Python, and become career-ready for a data science job in any industry.

View Syllabus

FAQ

Get the answers you need to start your journey

We are here to help you navigate your next career move. While the most common questions are answered below, you can find more detailed information on our FAQ Page.

Our Data Science Bootcamp is designed for analytical thinkers, problem-solvers, and individuals ready to pivot into the world of AI, regardless of their background.

You’ll learn data science fundamentals and exploratory data analysis, machine learning modeling and operations, data engineering, building algorithms, and more. You’ll also work on five to seven projects to add to your portfolio when applying to jobs.

Data science is the foundation of AI. While AI automates tasks, organizations need skilled professionals to build, validate, and interpret the models that drive strategy. Learning data science skills is one of the most certain ways to secure your place in the future tech ecosystem.

If you come from engineering, mathematics, statistics, business, research, healthcare, or technical fields, you can take Data Science to become a Data Scientist, Machine Learning Analyst, Advanced Analytics Specialist, AI/Data Consultant, or Predictive Analytics Specialist.

This is your sign to join our bootcamp

Data science or data analytics? Watch our video to see which path is right for you. Like many of our students who started with no technical background, you can turn your interest in data into a job at a major company. We give you the hands-on tools you need to land your dream job.

Global expertise. Local impact.

Our programs are led by international practitioners who bring global industry standards and years of experience from world-renowned companies to Bahrain’s tech ecosystem. They provide the hands-on, practical training needed to bridge the skills gap and launch your tech career.

Chris Harvell

Chris brings elite global consulting and investment banking experience to the Bahraini market, specializing in analytical problem-solving. He applies his background in business finance and entrepreneurship to help students develop the data fluency needed to secure high-demand roles.
As a hands-on practitioner, Chris specializes in Excel, Tableau, Power BI, and SQL, ensuring students master the business intelligence tools required to lead in the modern workforce.

Deeban Chandran

Deeban Chandran brings advanced technical expertise from his time as a data scientist at Shell Global Business Operations to the Bahraini market. He focuses on building data-driven solutions that transform organizations and improve business decisions.
As an active consultant, Deeban specializes in the full data science lifecycle using Python, SQL, and Power BI. He’s passionate about mentoring the next generation and solving real-world business problems through machine learning and automation.