What you'll learn?

  • Understand the core concepts of Artificial Intelligence and Machine Learning.
  • Build a strong foundation in HTML, CSS, and JavaScript
  • Understand the fundamentals of modern project management
  • Understand the fundamentals of SEO and search engine algorithms

Description

This Data Science course provides a complete introduction to data analysis, statistical modeling, and machine learning techniques. You will learn how to collect, clean, and interpret large datasets using industry-standard tools such as Python, Pandas, NumPy, and visualization libraries. The course focuses on practical, real-world applications—from predicting trends to solving business problems through data-driven insights. You’ll explore core concepts like probability, regression, classification, clustering, and exploratory data analysis. Throughout the course, you will complete projects that simulate real industry challenges and enhance your analytical thinking. By the end, you will be capable of building predictive models and presenting meaningful insights from complex data.

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About the instructor

Shadman Sakib
Shadman Sakib is a passionate Front-End Developer with extensive experience in Angular, JavaScript, and modern web technologies. He has worked on multiple real-world projects and enjoys transforming ideas into functional, professional websites. Shadman believes in a hands-on, project-based teaching approach that equips students with practical skills. He is committed to helping learners understand complex concepts in a simple and approachable way. Outside of development, Shadman explores UI/UX design trends and contributes to creative solutions. His students appreciate his guidance, patience, and dedication to their growth.

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