A 12-hour hands-on course that teaches you everything R / RStudio does — and more — using Python. Build a fully functional AI web application that explores, visualizes, trains, and surfaces results through an interactive Streamlit interface powered by an LLM chatbot. Perfect for R users transitioning to Python or anyone wanting a cleaner, state-of-the-art alternative for data science. Includes a Capstone Project: AI-Powered Sales Intelligence Dashboard.

Who it's for: R / RStudio users, Data analysts, BI professionals, Fresh graduates, Working professionals upskilling in AI.
Installing Anaconda/Miniconda, virtual environments, JupyterLab vs RStudio IDE comparison, and Python data structure crash course.
Cleaning messy data, Handling missing values, Data mapping from dplyr (R) to pandas (Python), and creating interactive charts with Plotly.
Hypothesis Testing (t-tests, ANOVA, Chi-square) and Regression Models using scipy and statsmodels. Residual and Q-Q plots in Python.
The scikit-learn API workflow (caret replacement), classification vs regression models, feature importances, and hyperparameter tuning.
Sentiment analysis, building a Data Q&A Chain with LangChain pandas agent, and integrating LLM chatbots for conversational data analysis.
Building the Sales Dashboard with Streamlit, integrating the AI Chatbot backend, and deploying live to Streamlit Community Cloud.
Written by real Celoris students and checked by our team.