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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
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Learn to create, test, and share low-fidelity prototypes of digital products using Figma in this 2-3 hour Coursera Project Network course. Familiarity with UI/UX design principles required.
Learn to implement a sorting algorithm in Python, create tests, and debug code to enhance software reliability and efficiency.
Explore interest rate risk management techniques including matching, smoothing, FRAs, and derivatives. Gain practical skills for business owners, bankers, and financial professionals.
Learn to efficiently calculate and evaluate profit margins using VLOOKUP in Google Sheets, enhancing your data analysis skills for business intelligence extraction.
Learn to extract, transform, and model data in Power BI, creating interactive reports and dashboards with visualizations for effective data analysis and presentation.
Learn to create insightful charts and reports using Google Sheets, transforming raw data into meaningful visualizations for effective decision-making and stakeholder presentations.
Learn to clean data, impute missing values, and create demand forecasts using Google Sheets. Apply statistical techniques to ensure data quality for accurate predictions in various business scenarios.
Learn Docker basics: containerization, images, and creating custom containers. Hands-on practice with fundamental concepts for effective container management and deployment.
In this 3 and half hour long project-based course, you will learn how to perform imputations, feature engineering, statistical analysis, train & evaluate models and exploratory analysis and visualization on your data.
Create an attractive real-time stock dashboard in Power BI, fetching live prices for stocks and cryptocurrencies using finance APIs. Learn to import financial data, build visualizations, and automate for instant updates.
Learn to scrape web data using R's Rvest package, analyze data distribution with ggplot2, and apply Random Forest models using FFTrees for effective data analytics.
Learn to create effective customer service surveys using Google Forms to gather valuable feedback and improve your business.
Learn to process and analyze data using Python's Pandas library, covering data reading, statistical analysis, and data cleaning techniques for various formats like XML, CSV, and JSON.
Create a responsive restaurant website using Google Sites, featuring device compatibility and free publishing options.
Learn ReactJS fundamentals, build a dynamic web app with functional components and hooks, and deploy it to Netlify in this hands-on project. Ideal for those with basic HTML/CSS knowledge.
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