Christopher Brooks is a Research Assistant Professor in the School of Information and Director of Learning Analytics and Research in the Office of Digital Education & Innovation at the University of Michigan. His research focus is on the design of tools to better the teaching and learning experience in higher education, with a particular interest in understanding how learning analytics can be applied to human computer interaction through educational data mining, machine learning, and information visualization.
Coursera
Discover the basics of data science through this beginner-friendly Python course. Master fundamental programming skills, learn to manipulate and clean data with pandas, and perform basic statistical analyses. Ideal for those new to data science and eager to start their journey.
Coursera
Dive into this comprehensive course where you'll learn how to apply real-world data analysis techniques using Python's powerful imaging library (pillow), OCR tools (tesseract and py-tesseract), and facial recognition with opencv. Build a standout project for your portfolio!
Coursera
Discover the power of data analytics within the public sector with our beginner-friendly course on 'Fundamentals of Data Analytics in the Public Sector with R'. Learn to harness the potential of R programming language to analyze population data, enhance decision-making processes, and drive positive change in public administration. Whether you're a newcomer or have some experience, this course will equip you with the skills needed to transform raw data into actionable insights.
Coursera
Discover how to apply data analysis skills to the complex world of public sector policymaking. This course equips you with essential tools for analyzing and assessing policies and programs, focusing on improving efficiency, effectiveness, and equity within the public sphere. Learn through real-world case studies and develop a robust understanding of policy options analysis, microsimulation modeling, and research designs for program evaluation.
Coursera
Dive into the world of data analysis with our specialized course designed for public sector employees. 'Exploratory Data Analysis for the Public Sector with ggplot' teaches you how to use R programming and ggplot to explore, visualize, and present complex datasets relevant to planning, reporting, and ensuring equity within your administrative roles.
Coursera
Dive into the intricate world where data meets governance with our Politics and Ethics of Data Analytics in the Public Sector course. Gain insights into how values, data, and evidence intertwine to shape public sector decision-making processes. This course is designed for professionals seeking to understand the ethical implications of data analytics and randomized controlled trials within governmental contexts.
Coursera
Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.
Coursera
Dive into 'Llama for Python Programmers' – a comprehensive course designed for Python programmers eager to explore and utilize large language models (LLMs) like Llama 2. This course will guide you through the process of running open-source LLMs on your own hardware, optimizing performance with techniques such as quantization using the llama.cpp package. Get ready to harness the full potential of generative AI.
Coursera
Discover the art and science of data representation through this engaging online course. Designed to equip you with essential skills in Python-based data visualization, this course focuses on mastering plotting, charting, and data representation techniques using matplotlib. Whether you're a beginner or an intermediate user, this course will enhance your ability to create compelling visual stories from complex datasets.