We found 4 courses available for you

Masters Program in Business Intelligence and Analytics using Power BI

85 Lessons
180 hours
All Levels

Master the skills needed to excel in the field of …

What you'll learn
Advanced data modeling and querying techniques in tools like Power BI and Excel
Analyzing and interpreting data to extract valuable insights and make data-driven decisions
Creating effective reports and dashboards for different audiences
Collaborating and sharing insights with stakeholders using business intelligence tools
Applying structured approaches to requirement gathering and project management
Understanding the fundamentals of functional system analysis
Troubleshooting project issues and finding solutions to problems

Microsoft Azure DevOps Solutions Masters Program and Certification

300 Lessons
180 hours
All Levels

The Microsoft Azure DevOps Solutions Masters Program & Certification is …

What you'll learn
Infrastructure as Code (IaC) with Terraform: Students will learn how to design and implement infrastructure as code using Terraform, and automate the provisioning and deployment of resources on AWS.
Containerization with Docker and Kubernetes: Students will gain expertise in containerization using Docker, and learn how to build and manage container images, deploy containers to a cluster using Kubernetes, and ensure their availability and scalability.
Configuration Management with Ansible: Students will acquire the skills to automate configuration management using Ansible, and learn how to write playbooks to manage configurations and deploy applications across multiple servers.
Continuous Integration and Continuous Delivery (CI/CD) with Jenkins and AWS DevOps Services: Students will master the concepts of CI/CD and learn how to build and deploy pipelines using Jenkins and AWS DevOps services.

AWS Certified Solutions Architect Masters Program

91 Lessons
200 hours
All Levels

Datavalley’s AWS Certified Solutions Architect Masters Program is a comprehensive …

What you'll learn
Understand the core AWS services and how they fit into the AWS ecosystem.
Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
Understand AWS deployment and management services such as CloudFormation, Elastic Beanstalk, and OpsWorks.
Secure your infrastructure using IAM, KMS, and other AWS security services.
Gain proficiency in deploying and managing AWS databases such as RDS and DynamoDB.
Understand AWS networking concepts, such as VPCs, subnets, and route tables.
Design and deploy cost-optimized architectures using AWS services such as EC2, S3, and Glacier.
Design and implement disaster recovery and business continuity plans on AWS.
Understand how to use AWS services for big data processing and analytics, including EMR, Redshift, and Athena.
Gain proficiency in monitoring and logging your AWS infrastructure using CloudWatch and other AWS tools.

Data Engineering Masters Program with AWS

156 Lessons
200 hours
All Levels

Are you interested in a career as an AWS Data …

What you'll learn
Understand the AWS data ecosystem and how to use various services and tools to build data engineering pipelines
Write Python and SQL queries to perform data transformations and analytics
Setting up local development environment for AWS on windows/mac
Learn how to store and manage large volumes of data using AWS S3
To secure your AWS resources using IAM
Use PySpark for Big Data Analysis
Data ingestion using Lambda Functions
Populating DynamoDB table with data
Perform ETL operations on large datasets using AWS Glue and Lambda
Build scalable and efficient data processing workflows using PySpark and EMR
Understand and utilize various data warehousing and data querying techniques using Redshift and Athena
Learn how to ingest real-time data streaming pipelines using Kinesis
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