Data Science Classes using R and Python with Claude & ChatGPT
This comprehensive Data Science course is designed for students, fresh graduates, working professionals, business analysts, researchers, and anyone interested in building a career in data analytics, artificial intelligence, and machine learning. No prior programming experience is required, as the course starts with the fundamentals and gradually progresses to advanced concepts.
Students will learn data analysis using R and Python, including data types, variables, loops, functions, data manipulation, visualization, statistics, SQL integration, exploratory data analysis (EDA), and machine learning using popular libraries such as pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and PyTorch. The course also covers data cleaning, feature engineering, model building, model evaluation, and deployment basics.
A unique feature of this program is learning how to use Claude AI and ChatGPT to write code, debug errors, generate reports, explain algorithms, automate repetitive tasks, and improve productivity in real-world data science projects. Students will gain practical experience by working on industry-based case studies, datasets, dashboards, and end-to-end projects.
The course includes hands-on coding exercises, downloadable practice files, assignments, interview preparation, resume guidance, GitHub portfolio creation, and certification support. Learners should bring a laptop with internet access, and installation guidance for R, RStudio, Python, Jupyter Notebook, VS Code, and required libraries will be provided during the course. By the end of the training, students will have the practical skills and confidence needed to pursue careers in Data Science, Data Analytics, Machine Learning, and AI-powered business solutions.