Getting Started With Cloud Foundry
Learn to deploy various apps to Kubernetes using Cloud Foundry, from Java and Ruby to Django and PHP, with step-by-step tutorials for beginners.
Getting Started - Cloud Foundry
Learn to deploy and scale PHP and Spring applications on Pivotal Web Services using Cloud Foundry, including manifest files and application lifecycle management.
Java Cloud Deployment
Learn to deploy Spring Boot microservices on various cloud platforms, including Google Cloud, Pivotal Cloud Foundry, OpenShift, and Heroku. Explore service discovery, config server, circuit breakers, and database integration.
Audacity Tutorials
Learn to record, edit, and mix audio using Audacity's powerful tools. Master voice editing, music mixing, and podcast production techniques in this comprehensive tutorial series.
How to Hack OWASP Juice Shop - A Guided Walkthrough Showing All Solutions
Comprehensive guide to mastering OWASP Juice Shop's vulnerabilities, covering all challenges from basic to advanced levels with detailed solutions and explanations.
Reverse Engineering Tutorials
Explore Android app reverse engineering techniques, from decompilation to vulnerability detection, using tools like GHIDRA for software analysis and security testing.
Android Penetration Testing
Explore advanced Android security techniques including reverse engineering, SSL unpinning, and vulnerability detection in this hands-on penetration testing session.
Python Tutorials
Learn Python basics, data types, and practical applications like IP tracking and phone info scripts in this comprehensive tutorial series.
Flask - Python Web Development
Learn to build web applications with Flask, covering installation, URL routing, Jinja2 templates, and static file handling in Python.
Introduction to Linux
Learn the basics of Linux, including Raspberry Pi, Git, BASH shell, and JSON, in this comprehensive introduction to open-source operating systems.
Algorithmic Trading
Learn to build trading robots, design algorithms, and code in MQL4 for automated forex trading. Covers programming concepts, software design, and practical implementation.
Machine Learning with Python - Tutorial for Beginners
Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.
Data Science for Beginners - Python for Data Science
This full course on Data Science from Great Learning is ideal for both beginners and professionals who want to upskill in one of the highly trending domains of the industry. It covers topics as fundamental as statistics and data to Logistic and Linear Re…
Python for Data Science - Data Science with Python - Python for Data Analysis
Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.
Data Visualization with ggplot2 in R
ggplot2 is the most popular package for data visualization. It is based on Grammar of Graphics which makes visualization extremely easy.
Linear Regression Machine Learning - Linear Regression in R and Python
This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression. You will also learn how to implement linear regression in both R language and Python language
Python Tutorial for Beginners - Python Programming - Learn Python
This “Python Tutorial” by Great Learning would help you to comprehensively learn all the basic and advanced topics in Python Programming.
CBW's Cancer Analysis Workshop June 7-11, 2021
Comprehensive cancer analysis workshop covering genomics, gene expression, pathways, and multi-omic integration. Hands-on training in bioinformatics tools and techniques for cancer research and clinical data interpretation.
CBW's Introduction to R Workshop - June 21-22, 2021
Learn R programming essentials: scripting, statistical tests, loops, functions, linear models, and R Markdown in this comprehensive workshop for beginners.
CBW's Machine Learning Workshops May 25-26, 2021
Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.
Bioinformatics for Cancer Genomics 2018
Comprehensive exploration of cancer genomics, covering databases, sequencing analysis, gene expression, mutations, and cloud-based bioinformatics tools for reproducible research and big data integration.