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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Learn to clean, preprocess, and cluster geolocation data using K-Means, DBSCAN, and HDBSCAN algorithms. Visualize results interactively and evaluate model performance for improved spatial analysis.
Create a professional flier using graphic design principles in Google Slides. Learn typography, imagery, color theory, and layout techniques to produce an effective networking event flier.
Learn to build and train Convolutional Neural Networks for traffic sign classification, with practical applications in self-driving cars. Covers image processing, model creation, and performance evaluation.
Learn to build and evaluate multiple linear regression models using scikit-learn, pandas, and seaborn. Predict sales revenue from advertising data through hands-on practice with Python and data visualization techniques.
Simulate network topologies, manage Cisco devices via telnet/SSH/Console, and implement basic security settings using Packet Tracer in this hands-on project.
Learn to enhance image quality using Autoencoders in Keras with Coursera's 1.5-hour project. Includes access to a pre-configured cloud desktop with necessary software.
Learn essential Linux commands for navigating directories, managing files, and accessing system functions. Gain practical skills for efficient command-line operations.
Train unsupervised ML algorithms for customer market segmentation, enabling targeted ad campaigns. Learn k-means clustering, elbow method, and PCA for dimensionality reduction and data visualization.
Develop a Python application using built-in data structures to create a multiple-choice quiz from words and definitions, enhancing algorithm efficiency and practical coding skills.
Learn pandas basics for data analysis, including data manipulation, cleaning, and preprocessing. Practice with hands-on challenges to gain practical skills in this essential Python library for aspiring data scientists.
Learn Docker fundamentals, including architecture, commands, networks, volumes, and deploying web applications using containers. Hands-on labs provide practical experience in managing images and containers.
Learn to implement Support Vector Machines using scikit-learn for classification tasks, including facial recognition. Gain hands-on experience with Python in a cloud-based environment.
Learn to build a portfolio website using Docker, covering fundamental concepts, command-line usage, and container management. Gain practical skills for development environments and boost your Docker confidence.
Learn Git and GitHub essentials for developers: version control, repository management, branching, committing, and collaborating on projects. Gain practical skills for efficient code management and teamwork.
Learn powerful data analysis using R and DPLYR package. Master six main verbs for efficient data transformation and gain hands-on experience with real-world applications.
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