Robotic Process Automation
Explore Robotic Process Automation fundamentals, tools, and applications. Learn UiPath, LINQ, API integration, XML basics, and SAP scripting for efficient automation implementation.
Full Stack Graph Visualization With GraphQL & Neo4j AuraDB
Learn to build a full stack graph visualization app using Neo4j AuraDB, GraphQL, Next.js, and Vercel. Covers data scraping, server setup, and interactive graph visualization.
Strapi Tutorial - With React & GraphQL
Learn to build a full-stack application using Strapi, React, and GraphQL. Covers setup, content types, permissions, data fetching, and working with relational data and rich text content.
Ansible Automation Tutorial
Learn Ansible automation: installation, playbooks, roles, vault, and DevOps integration. Hands-on tutorials cover inventory, YAML, variables, loops, and troubleshooting for efficient system administration and configuration management.
Setup Ubuntu VM on GCP Using Docker to Learn Python and SQL
Learn to set up a GCP Ubuntu VM with Docker for Python and SQL development, including Jupyter Lab and PostgreSQL installation, with practical guidance on cloud infrastructure and database management.
Magento 2 Tutorials for Beginners (2019) - MageCafe
Comprehensive guide covering essential Magento 2 topics for developers, from setup to advanced features like GraphQL, Message Queue, and Extension Attributes.
DML Statements in SQL
Learn essential SQL DML statements for database interaction. Master inserting, updating, and deleting data to manipulate databases effectively in various applications and scenarios.
R Tutorials
Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.
USF Spring 2017 Intro to Databases
Introduction to database management covering XAMPP, DBeaver, SQL, MariaDB/MySQL, SQLite, and Amazon RDS. Hands-on practice with importing, exporting, and connecting to various database systems.
C# Complete Course - Tutorial for Beginners + Advance C# OOP Tutorials + C# Console Application + C# Windows Form Application + C# SQL Database
Comprehensive C# programming course covering basics, OOP, Windows Forms, and SQL database integration. Ideal for beginners to advanced learners seeking practical skills.
C# SQL Database Tutorials - CRUD Operations Using SQL Server and Visual Studio
Learn C# SQL database operations, including CRUD, using Visual Studio and SQL Server Management Studio. Covers installation, forms, data retrieval, and web services.
R Beginner
Learn to create basic graphs in R Studio, including bar plots, scatter plots, and box plots. Explore ggplot for data visualization and run simple programs for biological applications.
RNAseq Analysis
Comprehensive guide to RNAseq analysis, covering DEGs, enrichment analysis, data manipulation, and WGCNA, with practical R tutorials for bioinformatics beginners.
RStudio Tutorial
Comprehensive RStudio tutorial covering statistical analysis, data visualization, bioinformatics, machine learning, and more. Ideal for beginners and advanced users seeking practical skills in R programming.
Fundamentals of Bioinformatics
Comprehensive introduction to bioinformatics, covering biological information, microbiome science, Python programming, sequence alignment, Linux, and machine learning for aspiring bioinformaticians.
Computing Skills for Bioinformatics
Learn essential Linux, regular expressions, and Python 3 skills for bioinformatics, covering command-line operations, text manipulation, and programming fundamentals.
R Programming
Learn R programming fundamentals for bioinformatics applications, covering essential concepts and techniques in a comprehensive two-part introduction.
UseR! 2020: Biostatistics
Explore biostatistics applications in R, covering clinical trials, mortality analysis, metaproteomics, descriptive tables, ETL, anthropometry, leukemia treatment, meningioma genomics, and survival curve comparisons.
Practical Computing for Scientists
Learn scientific computing essentials: BASH, Python, and SQL. Develop programming and data wrangling skills for UNIX/LINUX environments. Practical exercises and quizzes included.
R Data Science Project
Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
R Shiny Web Application
Learn to create interactive web applications using R Shiny, from basics to advanced features like data-driven apps and machine learning integration. Deploy your creations on Heroku.