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PeopleCert SCRUM Master II
Course Description Scrum is a framework within which people can …
What you'll learn
At this qualification level, candidates will be introduced to concepts, terms, principles and tools used in the Scrum framework and gain a deep understanding of Scrum best practices as well as a level of expertise that goes beyond a typical team leader or project manager through a unique combination of case studies, storytelling, and practical learning based on the real-life challenges that Scrum Masters face.
The mastery of the Scrum framework centered around the integration of roles, events, and Scrum artifacts, including and supporting the product backlog and sprint backlog
The many soft skills necessary for the Scrum Master, such as servant leadership, facilitation, coaching and mentoring, problem solving, and removing impediments
The true extent of what it means to think and act in an Agile way
The Day-to-Day Work of the Scrum Master in a Sprint
The most common frameworks for scaling Scrum projects with multiple teams and complex products
Microsoft Office 365 Online (With Teams)
Course Description: This course is an introduction to Microsoft Office …
What you'll learn
Sign in, navigate, and identify components of the Office 365 environment
Create, edit, and share documents with team members using the Office Online apps, SharePoint, OneDrive for Business, and Delve
Collaborate and work with colleagues using the Yammer and Planner apps
Use email and manage contacts with Outlook on the web
Collaborate using Teams
Configure Teams
Six Sigma Yellow Belt
Six Sigma Yellow Belt training enables you to learn about …
What you'll learn
Understand the basic concepts of Six Sigma Yellow Belt
Acknowledge the value of Six Sigma to an organization
Understand the Six Sigma Yellow Belt tools and techniques used to improve processes, customer satisfaction and efficiency
Snowflake Data Analyst Training
Course Description This 2-day role specific course covers how to …
What you'll learn
Overview of Snowflake key features & architecture
Perform advanced and high-performing data analytic tasks
Load and work with new datasets
Review key SQL extensibility features
Query and inspect data using SQL core constructs
Employ best practices for working with semi-structured data
Discuss query caching performance capabilities
Visualizing data outside of Snowflake
Splunk Boot Camp
Course Description Learn how to use Splunk for monitoring, searching, …
What you'll learn
Splunk essentials
Indexing in Splunk
Splunk architecture and components
Query and search your data
How to create dashboards and visualizations
How to apply alerts
Working with Apache Kafka
Course Description Learn to use Kafka as your real-time data …
What you'll learn
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning/Troubleshooting Kafka
Introduction to Apache Spark Essentials (TTSK7502)
Course Description Learn the essentials of using Spark for your …
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications
Big Data Fundamentals
Learn the benefits of big data and the underlying technologies, …
What you'll learn
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
