
Learn to optimize your game using Unity's profiling tools. Discover frame structure, VSync, garbage collection, and rendering analysis techniques to enhance performance.

Learn to install and use R programming language, covering basics like data creation, functions, statistics, and visualizations in this quick introduction.

Explore IoT data processing on AWS, covering real-time analysis, streaming frameworks, data persistence, and serialization formats for effective metric data management and analysis.

Learn essential Pandas concepts including Series, DataFrames, conditional selection, and groupby operations for efficient data manipulation and analysis in Python.

Learn to analyze cancer somatic mutations using MAFtools R package. Covers importing data, visualization techniques, driver detection, survival analysis, and comparing cancer cohorts for comprehensive mutation insights.

Learn techniques for handling missing data in R, including various imputation methods, using packages like mice, and evaluating algorithm performance with ggplot2.

Aprenda análise de sobrevivência em dados de câncer usando R. Tutorial prático sobre pipeline de análise, uso de dados TCGA, expressão gênica e modelagem preditiva para pesquisa biomédica.

Learn to efficiently use googledrive and googlesheets4 packages in R for seamless data management and analysis with Google Drive and Google Sheets.

Learn to create data visualizations in R using ggplot2, from basic plots to advanced techniques. Covers installation, data understanding, and various plot types for effective data representation.

Learn to quantify information in sequences using Shannon Entropy. Explore the theory, formula, and Python implementation of this powerful information theory metric for data analysis and comparison.

Explore five common distance metrics in Python, including theory, code, and visualizations. Learn how to choose and apply the right metric for better results in data analysis and machine learning.

Learn to expertly use pandas groupby for data manipulation, including splitting, combining, applying functions, and creating visualizations from grouped data.

Learn to process Pandas DataFrames using shift() for row/column manipulation, timeseries updates, rolling calculations, and advanced data transformations in Python.

Develop a music analytics application using Python and Spotify API. Learn to access audio features, perform track analysis, and create personalized recommendations for a unique music experience.

Learn to generate detailed, interactive dataset reports using pandas-profiling. Explore column details, interactions, correlations, and more with just a few lines of code.

Hands-on workshop comparing no-code (GigaSheet) and full-code (Pandas) data analytics solutions, covering data upload, filtering, aggregation, updating, grouping, and exporting.

Learn to set up and manage online bookings for appointments, classes, and courses on your website. Master tools for scheduling, staff management, client communication, payments, and data analysis to create a seamless booking experience.

Comprehensive NumPy tutorial for STEM professionals, covering array operations, calculus, statistics, linear algebra, and practical examples tailored to physics, engineering, and mathematics.

Learn advanced MongoDB techniques including Map Reduce, complex queries, Group, and Distinct functions through practical examples and JavaScript implementation.

Learn to use templates, iterators, and preprocessor directives in C++ to create flexible and reusable code structures for efficient programming.

Learn Emacs essentials: navigation, editing, buffers, shells, macros, and setting up a programming environment. Covers installation, keybindings, and practical tips for efficient text editing and coding.