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Learn to build an image compression application using Python and scikit-learn with Coursera's 45-minute project. Gain skills in k-means clustering, EDA, and GUI components.
Learn to analyze stock data using R's quantmod package, perform analytics, and apply financial risk functions for creating buy signals with RSI.
Implement a Neural Network in TensorFlow using core functionality, including gradient descent with automatic differentiation. Gain deeper understanding of low-level TensorFlow operations.
Learn to build and train an autoencoder for image denoising using Keras and TensorFlow 2.0. Gain hands-on experience in data preprocessing, model creation, and performance evaluation.
Create an interactive HR dashboard in Power BI to visualize employee demographics, diversity metrics, and detailed employee information, enhancing organizational insights and decision-making.
Learn to build a cost-benefit model in Google Sheets, gaining actionable business intelligence for informed decision-making and maximizing return on investment.
Learn to create effective Google Ads video campaigns, including strategy, targeting, and optimization techniques for standard in-stream ads.
Learn to create accurate sales projections using seasonality in Google Sheets. Master forecasting techniques, build seasonal indices, and visualize data to make informed business decisions.
Learn to design professional logos using Canva in this 2-hour project-based course by Coursera Project Network. Gain advanced branding skills and apply them to create high-quality e-brand logos.
Learn basic NLP principles, explore workflow pipeline, and gain hands-on experience with various methods and open-source libraries for parsing and extracting meaning from human language.
Learn to create a dynamic stock dashboard in Google Sheets, capturing real-time NYSE data and visualizing market trends through charts and infographics.
Develop a functional calculator in C# using Visual Studio, learning fundamental programming concepts and basic coding structures for console applications.
Learn to use Keras with TensorFlow for image classification in this 1-hour project-based course by Coursera. Build a neural network to classify deep space radio signals.
Learn essential data visualization techniques in Python, creating diverse charts and plots to effectively communicate insights from your data analysis.
Learn to predict employee turnover using decision trees and random forests in Python. Apply scikit-learn, interpret models, and create interactive visualizations for real-time analysis.
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