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Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life
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Learn to create charts, graphs, and interactive dashboards in Excel for effective data visualization and storytelling, enhancing decision-making skills.
Create a professional ePortfolio using Google Sites to showcase your skills, experiences, and projects, enhancing your job prospects and online presence.
Learn to build a customer service chatbot for a burger shop using Google Dialogflow, no prior experience needed. Gain practical skills in conversational AI development.
Develop a Fake News Detection project using Google Colaboratory, overcoming resource limitations and learning to train, evaluate, and extract models for various applications.
Learn to create data-driven user personas and customer journey maps, uncovering pain points and improving experiences for online car buyers using UXPressia.
Learn R programming basics to build a foundation for creating web apps, starting your journey in data science and app development.
Analyze six common project selection techniques using Google Sheets and complete a case activity to determine the most beneficial projects for organizations with limited resources.
Learn to organize and process data using data frames and dplyr, enhance Shiny app UI, and support multiple cities in web applications.
Equip yourself with essential skills to navigate the internet safely, protect your privacy, avoid scams, and identify trustworthy sources and content creators.
Learn to forecast univariate time series using LSTM, focusing on new home sales data. Gain insights into appropriate data structures for LSTM and other forecasting techniques.
Learn to build and deploy an interactive web app using R, Shiny, and Leaflet. Create a fun, useful application accessible online, even with minimal programming experience.
Learn to analyze time series data using Python, from importing libraries to transforming non-stationary data. Gain insights through visualization and statistical techniques.
Learn Excel basics, functions, and techniques for data analysis, error troubleshooting, and creating regression models. Gain practical skills for effective problem-solving using spreadsheets.
Learn to ingest, preprocess, and visualize data using Python libraries. Build a binary classification model and explore data science concepts like standardization and sampling techniques.
Learn to optimize project schedules using Excel's linear programming capabilities, reducing duration while minimizing costs and gaining insights into advanced project management techniques.
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