125 Hours
Technology
This foundational course in data science is designed for learners looking to apply Python to real-world data challenges. It begins with core programming concepts and quickly progresses into hands-on modules covering data manipulation using NumPy and Pandas, data cleaning, and visualization with Matplotlib and Seaborn. Students build machine learning models for regression and classification, and apply AI techniques like face detection and sentiment analysis.
Throughout the course, learners work on mini-projects such as house price prediction, fake news detection, and recommendation systems. By the end, participants will have the ability to preprocess data, build and evaluate models, visualize insights, and deploy basic AI solutions. Resume-building support and interview preparation are included to ensure job readiness.
Lead Data Scientist | AI Educator
K. M. IQBAL is a senior data scientist with expertise in machine learning, AI, and analytics. She has led projects across finance, healthcare, and retail, and specializes in teaching real-world data skills with a focus on job readiness.
188 Students
4 (36 Review)
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enroll now