
Live product demos and deep-dives on Splunk for beginners, intermediate users, and experts, covering topics like observability, OpenVino, and industrial data.

Learn the basics of Linux, including Raspberry Pi, Git, BASH shell, and JSON, in this comprehensive introduction to open-source operating systems.

Learn essential Red Hat Linux skills: installation, basic commands, I/O redirection, partitions management, Yum server setup, and running Windows software on Linux.

Explore advanced mathematical concepts including Laplace equations, convolution, polar coordinates, and more. Master techniques for solving complex differential equations and their applications.

Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.

Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.

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…

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.

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

Learn R programming essentials: scripting, statistical tests, loops, functions, linear models, and R Markdown in this comprehensive workshop for beginners.

Comprehensive workshop on machine learning in bioinformatics, covering decision trees, neural networks, hidden Markov models, and practical applications using Keras and Scikit-Learn.

Comprehensive exploration of cancer genomics, covering databases, sequencing analysis, gene expression, mutations, and cloud-based bioinformatics tools for reproducible research and big data integration.

Explore microbiome research through bioinformatics and big data analytics, covering topics from metagenomics to machine learning for biological data and microbiome database mining.

Learn essential bug bounty hunting skills through comprehensive video tutorials covering web security, exploitation techniques, and ethical hacking practices.

Explore key bioinformatics concepts and tools for analyzing cancer genomic data, including mutation detection, gene expression, and data integration techniques.

Explore high-throughput sequencing tools, variant calling, visual analysis, Galaxy integration, and de novo assembly techniques for advanced bioinformatics applications.

Learn key concepts and tools for metabolomics analysis, including software, databases, statistical methods, and data integration techniques for advancing research in this field.

Explore Java hashing concepts, including collision handling, HashTable, HashMap, LinkedHashMap, HashSet, and LinkedHashSet. Learn implementation techniques and problem-solving strategies.

Learn how to read data, process it, visualize and create reports. We also have our primary focus on Python to help you have your biggest leap into Data Science.

This tutorial covers AI and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

This video teaches functions in C and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.