Applied Data Science

The Applied Data Science & Predictive Analytics Program is a comprehensive 12-week mentorship designed to transform beginners into confident, job-ready data professionals through personalized 1-to-1 instruction and hands-on project experience. The curriculum begins with Python programming, SQL databases, statistics, and mathematical foundations before progressing into professional data analysis using NumPy and Pandas. Students then develop expertise in exploratory data analysis, data visualization, feature engineering, and machine learning workflows used by modern data teams. As the program advances, learners build and evaluate predictive models using regression, classification, and clustering techniques while gaining practical experience with model optimization, cross-validation, and business-focused analytics. Throughout the mentorship, every concept is reinforced through real-world datasets and industry-relevant case studies. By the end of the program, students will have completed three portfolio-grade capstone projects, published their work on GitHub, and developed the technical and communication skills required to succeed in Data Analyst, Junior Data Scientist, Predictive Analytics, and Machine Learning-focused roles across the US and UK job markets.