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Certified Data Scientist - Machine Learning with NumPy, Pandas, Scikit & SQL


Explore the cutting-edge world of data and unleash the power of artificial intelligence with our comprehensive and hands-on training programs designed for learners in Qatar and the wider Gulf region. Whether you're a beginner or an experienced professional, our courses cater to individuals at all skill levels. In this course, you will gain a solid understanding of machine learning principles and techniques. We will cover the basic concepts, algorithms, and tools used in the field. By the end of this course, you'll be able to build and deploy simple machine learning models for various application relevant to industries thriving in Qatar and the GCC.

In this course, you will gain a solid understanding of the principles of machine learning, data analytics, and predictive modelling. The course focuses on practical hands-on experience using Python (NumPy, Pandas, Matplotlib and Scikit-learn), R (ggplot2, tidyverse) and My SQL to give you the tools you need to clean, analyse, and model real-world datasets.

QAR 3,000 QAR 2,500

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Our Stats: 150 + Batches Completed | 1500 + Certified professional

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    Eligibility criteria - Who is it for?

    The Certified Data Scientist program is designed to be accessible and beginner-friendly.
    No prior experience is required, making it suitable for learners from diverse academic and professional backgrounds.
    Ideal for both beginners and working professionals who wish to develop practical skills in data science and machine learning.
    Basic computer literacy and a strong interest in the field are recommended.
    A genuine interest in data-driven technologies and problem-solving will help participants get the most out of this program.

    Course Features

    Our Certified Data Scientist program is built to provide a well-rounded, industry-relevant learning experience that helps you master both the fundamentals and practical applications of machine learning.
    Beginner-Friendly & Progressive Curriculum – Structured modules that guide you from Python basics to advanced machine learning applications suitable for both fresh graduates and working professionals in Qatar. 
    Hands-On Training – Practical exercises and coding labs with NumPy, Pandas, and Scikit-learn on real-world datasets.
    Capstone Project – End-to-end project that demonstrates your ability to analyse data, build models, and generate business insights aligned with practical challenges faced by industries in Qatar. 
    Interactive Learning – Quizzes, assignments, and coding challenges to strengthen your understanding.
    Industry Case Studies – Exposure to real-world applications in finance, healthcare, retail, and technology.
    Expert Guidance – Learn directly from trainers with proven expertise in data science and AI.
    Flexible Online Learning – Attend live sessions or study at your own pace with lifetime access to course materials accessible from anywhere in Qatar. 
    LinkedIn Shareable Certificate – Earn a professional certificate to showcase your achievement and boost your career profile.

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    Course Curriculum - Lesson Plan

    Module 1: NumPy for Numerical Computing

    Module 2: Data Analysis with Pandas

    Module 3: SQL for Data Science

    Module 4: Data Visualization & Insights

    Module 5: Machine Learning Fundamentals with Scikit-learn

    Module 6: Supervised Machine Learning Algorithms

    Module 7: Unsupervised Machine Learning Algorithms

    Module 8: Advanced Machine Learning Techniques

    Module 9: Capstone Project & Certification

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    Flexible Training Schedule

    Once you enroll in this program, you will receive an access pass for 120 days to attend any of the scheduled sessions below. Get started with a free demo class to experience our quality.

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    Trainer profile
     

    Program Instructor

    Mullai T

    Mullai is a seasoned I.T. training specialist and software developer with over 15 years of experience in the field, bringing deep knowledge in languages like Python, C++, and Java, as well as RDBMS including MS SQL and Oracle.

    Mullai has held positions as a Training Officer at prominent training centers such as Brilliant Computer Training Centre and NIIT Computer Training Centre in Qatar, enhancing both technical and corporate training environments.

    She has successfully conducted corporate trainings for major companies like Hindustan Unilever Limited, QDVC, and Ooredoo, focusing on Microsoft Office and Oracle Fundamentals.

    FAQ

    This program is built around Python, the leading language in data science and AI. You will gain hands-on experience with essential libraries such as NumPy for numerical computations, Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for building and evaluating machine learning models.

    Yes. The curriculum includes a wide range of machine learning methods, starting from supervised learning techniques like regression and classification, to unsupervised learning approaches such as clustering and dimensionality reduction. This ensures you build a complete understanding of different ML applications.

    The course is highly practical and project-driven. Each module comes with coding exercises, real-world datasets, and mini-projects, giving you the opportunity to apply what you learn immediately. A capstone project at the end allows you to showcase your ability to solve real data problems end-to-end.

    Yes. Data preparation is a crucial step in data science, and you will master techniques like handling missing values, removing outliers, feature engineering, and exploratory data analysis (EDA). These skills will enable you to work confidently with raw, messy datasets.

    You will learn how to use evaluation metrics such as accuracy, precision, recall, F1-score, and ROC-AUC. Additionally, you’ll practice advanced techniques like cross-validation, hyperparameter tuning, and feature selection, ensuring your models deliver reliable results in real-world scenarios.

    To enroll, simply visit the course section above and click on “Enroll Now” (this will redirect you to checkout). Once your enrollment is confirmed, you will automatically receive LMS access and be contacted by our administrators for next steps. You may also request a free demo session before finalizing your registration. For assistance, you can contact our sales team via WhatsApp or call at +974 7079 7089. Optionally, you may email us at info@teamacademy.net

    No prior experience in machine learning or data science is required. This program is designed for both beginners and professionals. As long as you have basic computer literacy and a genuine interest in the field, you are welcome to join. Our instructors guide you step by step, making it easy to learn even if you are new to coding or data analysis.

    Upon successfully completing the training and final project, you will be awarded a LinkedIn Shareable Certificate from Team Academy. This certificate validates your skills in data analysis and machine learning using NumPy, Pandas, and Scikit-learn, and can be added to your LinkedIn profile to enhance your career visibility.

    Yes, we offer customized training solutions for corporates, institutions, and teams who wish to upskill their employees in data science and machine learning. Group packages and corporate discounts are available. For tailored training plans, you can directly contact us at info@teamacademy.net

    You can reach out to our sales and support team via WhatsApp or call at +974 7079 7089 for quick assistance. Alternatively, you can email us at info@teamacademy.net. Our team will provide complete guidance on enrollment, demo sessions, payment options, and course schedules.

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    Certified Data Scientist - Machine Learning with NumPy, Pandas, Scikit & SQL

    QAR 3,000 QAR 2,500
    Enroll Now
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