My goal is to explain the skills, tools, and real-world applications of "Data Science" and "Data Analysis" roles in an easy-to-understand way.

As a Data Analyst, the focus is on turning raw data into meaningful insights through visualization, reporting, and statistical analysis.

As a Data Scientist, the scope expands into building predictive models, applying machine learning, and solving complex business problems with advanced data-driven techniques.

Through my teaching, learners will understand the similarities, differences, required skills, and career paths for each role, along with hands-on examples and projects to build confidence in the data field.