Embark on a comprehensive journey through the data science pipeline in this 1-hour 28-minute webinar. Learn essential skills for real-world data projects, from finding and cleaning data to creating interactive dashboards. Discover how to use pandas for data manipulation, Matplotlib for visualization, Scikit-learn and TensorFlow for modeling, and Streamlit for building interactive dashboards. Gain practical knowledge on data engineering techniques, feature engineering, model evaluation, and optimization. Perfect for aspiring and intermediate data scientists with basic Python knowledge, this hands-on session equips you with the tools to tackle complex, professional-level data science projects.