Post Graduate Program in Artificial Intelligence and Machine Learning
McCombs School of Business
In my post-graduate program in Machine Learning and AI at the UT McCombs School of Business, I gained a comprehensive understanding of supervised and unsupervised learning, deep learning, and reinforcement learning. I developed proficiency in data processing, exploratory data analysis, and statistical methods. The program emphasized practical application through Python, TensorFlow, and cloud platforms, as well as ethical considerations and regulatory frameworks in AI. I worked on real-world projects, enhancing my ability to apply ML solutions to business problems such as predictive analytics, customer segmentation, and fraud detection. Additionally, I honed my project management, communication, and team collaboration skills, preparing me to effectively leverage AI in a business context.
Probability and Data with R
Duke University
In the "Probability and Data with R" course offered through Coursera by Duke University, I gained a solid understanding of probability theory and its applications in data analysis. I learned to work with data in R, mastering techniques for data visualization, statistical inference, and exploratory data analysis. The course emphasized practical application, allowing me to apply probability concepts to real-world datasets and perform rigorous data analysis using R. Additionally, I developed skills in communicating statistical findings effectively and gained a strong foundation for further studies in data science and analytics.
Databases and SQL for Data Science with Python
IBM
In the "Databases and SQL for Data Science with Python" course offered through Coursera by IBM, I developed a thorough understanding of databases and SQL, specifically tailored for data science applications. I learned to create, query, and manage databases, and to use SQL to extract and analyze data. The course also integrated Python, teaching me how to use libraries like Pandas to manipulate and visualize data extracted from SQL databases. Through practical exercises and real-world examples, I enhanced my ability to work with large datasets, perform complex queries, and integrate database operations with Python for comprehensive data analysis.