550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.Capstone #1: Predicting West Nile Virus in Chicago• Objective: Develop a machine learning model to predict the probability West Nile virus is present given a time and place.• Tools: Python, Pandas, Seaborn, Scikit-learn, NumPy, Jupyter, Logistic Regression, Decision Trees, XGBoost.• Outcomes: Detected West Nile Virus with 83% accuracy.Capstone #2: Lung Cancer Image Classifier• Objective: Develop and deploy a lung cancer image classifier that can identify benign, lung adenocarcinoma, and lung squamous cell carcinoma with greater accuracy than a domain expert.• Tools: Python, Pandas, Seaborn, Scikit-learn, NumPy, Google Colab, FastAI, PyTorch, HuggingFace, Gradio.