Featured
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Azure DevOps
What you'll learn
Understand the fundamental concepts and components of Azure DevOps, including Boards, Repos, Pipelines, Test Plans, and Artifacts.
Learn how to effectively plan and manage software development projects using Agile methodologies within Azure Boards.
Gain proficiency in version control with Azure Repos, including Git repositories and centralized version control with TFVC.
Explore techniques for automating build, test, and deployment processes using Azure Pipelines.
Understand how to create and manage automated tests and test plans using Azure Test Plans.
Learn how to package and distribute artifacts using Azure Artifacts for efficient software deployment.
Gain insights into integrating Azure DevOps with other Azure services and third-party tools for enhanced functionality.
Explore advanced topics such as multi-stage pipelines, release gates, and deployment strategies for complex deployment scenarios.
Understand the role of DevOps in the software development lifecycle and how Azure DevOps facilitates collaboration and continuous improvement.
Develop skills in monitoring and optimizing DevOps processes using Azure Monitor and other monitoring tools within the Azure ecosystem.
Featured
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AWS DevOps
What you'll learn
Understand the core principles and practices of AWS DevOps.
Learn how to implement Infrastructure as Code (IaC) using AWS CloudFormation or similar tools.
Gain proficiency in setting up and managing CI/CD pipelines for automated software delivery.
Explore techniques for automating testing, deployment, and rollback processes.
Understand the importance of monitoring and logging in AWS DevOps for performance optimization and troubleshooting.
Learn how to leverage AWS services like Amazon CloudWatch and AWS CloudTrail for monitoring and auditing.
Explore best practices for implementing microservices architecture on AWS.
Understand the security considerations and best practices in AWS DevOps.
Gain insights into cost optimization strategies and resource management in AWS DevOps.
Develop skills for collaboration, communication, and teamwork in a DevOps environment on AWS.
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Data Analytics
What you'll learn
Understand the basics: data types, variables, and terminology
Collect and prepare data from diverse sources for analysis
Use exploratory techniques to identify patterns, trends, and anomalies
Data Visualization and Communication:Create charts, graphs, and dashboards to present insights clearly Effectively communicate findings and recommendations to stakeholders
Statistical Analysis Techniques:Perform hypothesis testing to validate assumptions
Use regression and correlation analysis to identify relationships
Draw meaningful conclusions and make informed decisions based on data
Machine Learning and Predictive Modeling: Explore machine learning algorithms for classification and prediction Develop predictive models to forecast outcomes and solve business problems
Artificial Intelligence: Reinforcement Learning in Python
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Statistics for Data Science and Business Analysis
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
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Artificial Intelligence & Machine Learning
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Featured
Learn Big Data: The Hadoop Ecosystem Masterclass
What you'll learn
Learn how to use the most popular software in the Big Data industry at the moment
Using batch processing as well as real-time processing.
Give you enough background to be able to talk about real problems and solutions with experts in the industry.
Featured
-39%
Mastering Data Modeling Fundamentals
What you'll learn
Ready to begin working on real-world data modeling projects,
Expanded responsibilities as part of an existing role
Find a new position involving data modeling.
Free
Analytic Techniques for Business Specialization
What you'll learn
Helps to predict performance
Increased the retention rates
Boost in cost efficiency
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Applying Data Analytics in Marketing
What you'll learn
Get the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.
Identify the ideal analytic tool for their specific needs
Understand valid and reliable ways to collect, analyze, and visualize data
Utilize data in decision making for their agencies, organizations or clients.
