No prior experience required.
Open to beginners and professionals interested in learning about machine learning and data science.
Basic computer literacy and a strong interest in the field are recommended.
Comprehensive Curriculum : Covers Machine Learning, Data Science fundamentals, and DevOps integration.
Hands-on Learning : Build, train, and deploy machine learning models and Real-world projects on predictive analytics, automation, and deployment pipelines.
Earn a globally recognized certification to boost your career in AI/ML and DevOps.
Hands-on experience with AWS, Azure, or Google Cloud Platform for deploying scalable machine learning models.
Explore data preparation, feature engineering, hyperparameter tuning, and automation of workflows.
Live sessions with industry professionals for guidance on complex concepts and career advice
Option to integrate program completion with certifications like AWS Certified Machine Learning, Azure Data Scientist Associate, or Docker Certified Associate.
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
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.
Program Instructor
Dinesh R M , MBA, PMP.
Microsoft Certified Instructor
The Instructor Posses expertise in data science, project management, and digital transformation.
He holds key certifications in Power BI Data Analysis, PMP, IBM Design Thinking, and AI.
He has substantial experience in data analytics, data warehousing, risk analytics, and Project management.
Having worked with organizations like Qatar Airways and Microsoft. His skills include statistical analysis, machine learning, and AI.
Supported by a B.Tech in Chemical Engineering and an MBA specializing in Finance and Statistics.
Passionate About : Agriculture & Rain Forest Development.
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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