I. Introduction A. Overview of Data Science B. Overview of Role of Junior Data Scientist

II. Data Exploration A. Data Cleaning B. Feature engineering C. Outlier Detection

III. Statistical Analysis A. Regression Models B. Hypothesis Testing C. Time Series Analysis

IV. Machine Learning A. Introduction to Machine Learning B. Supervised Models C. Unsupervised Models

V. Visualization A. Overview of Types of Visualizations B. Software Demonstrations (Python, Matplotlib, Tableau, etc)

VI. Presentation & Communication A. Introduction to Data Storytelling B. Building Narrative with Data C. Tips for Presenting Results

VII. Conclusion A. Wrap-up & Summary B. Q&A Session