Shweta K.

As a Data Analysis Instructor, I mentor high school to university-level students with essential data science skills. My expertise spans Python programming, statistics, machine learning algorithms, and data visualization, providing a comprehensive educational experience. In Python programming, I ensure students gain proficiency in coding and applying it to real-world data scenarios. My focus on statistics involves teaching key concepts like data distributions, hypothesis testing, and inference, which are fundamental for data analysis. I guide students through both basic and advanced machine learning algorithms, covering supervised and unsupervised learning, model evaluation, and deployment. Additionally, I emphasize data visualization best practices using tools such as Matplotlib, Seaborn, and Plotly, enabling students to effectively communicate their data insights. I adopt a hands-on, student- centered teaching approach, integrating practical exercises and real-world applications to foster a deep understanding of data science principles. My goal is to inspire critical thinking and practical problem-solving abilities, preparing students for successful careers in this rapidly evolving field. I have successfully mentored students globally and many of them have advanced to further studies and careers in data science.