Join a Free Data Science and Artificial Intelligence Training Course

Access specialized training, hands-on experience and expert career coaching to propel your career forward.

Exclusively for Bahraini Nationals

Join a Free Data Science and Artificial Intelligence Training Course

Deadline to apply

October 11, 2025

Limited spots!

Apply today!

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Data Science and Artificial Intelligence Training

This 6-month virtual advanced skills program is designed to empower Bahrainis with specialized training in cutting-edge technology fields. You'll gain technical expertise over 6 months, engage in real-world projects, and receive personalized career support. We aim to help you thrive in today’s competitive job market and connect you with top employers in Bahrain and beyond. Apply now to begin your journey to a brighter career.

Program Overview

Participants will engage in a hands-on, immersive learning experience, structured into several modules to build foundational knowledge and practical skills. The course emphasizes real-world applications, using tools like Python, Tableau, and TensorFlow, and fosters a collaborative environment through peer discussions and group projects. It supports self-directed learning, allowing participants to tailor their experience to personal goals. Ethical data use, privacy, and security are key focuses. The course culminates in a capstone project, showcasing participants' skills in a professional portfolio, and preparing them for roles in data science and AI.

Data Analytics Fundamentals

Explore core data analytics concepts, applications, and methodologies.
Gain a solid foundation in basic statistical concepts and probability.
Understand data privacy, security, and ethical considerations in data collection and handling.
Learn Python programming basics, including syntax, data structures, and object-oriented concepts.
Master data analysis techniques using Python libraries such as NumPy and Pandas.

Data Wrangling Fundamentals

Develop proficiency in data querying using SQL.
Learn essential data cleaning and preprocessing techniques.
Address common data challenges like missing values, outliers, and inconsistencies.
Explore data transformation and feature engineering for improved analysis.

Data Visualization

Study data visualization principles and best practices for effective communication.
Create compelling static and interactive visualizations using Python libraries like Matplotlib and Seaborn.
Gain hands-on experience with Tableau for business intelligence applications.
Master the art of data storytelling and dashboard design to convey insights effectively.

Statistical Analysis and Hypothesis Testing

Delve into inferential statistics and its key concepts.
Learn to conduct hypothesis testing and A/B testing for data-driven decision-making.
Explore correlation and regression analysis to understand relationships in data.
Apply advanced Python programming techniques for statistical analysis.

Machine Learning Fundamentals

Understand core machine learning concepts and their applications.
Master supervised learning algorithms, including classification and regression techniques.
Explore feature engineering, regularization, and model validation methods.
Learn unsupervised learning algorithms for clustering and dimensionality reduction.
Develop skills in model evaluation and hyperparameter tuning using Python's Scikit-learn library.

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