Business Analyst Training

Introduction to Agile Development -

Learn about how Agile Development can improve the process of writing software.

Introduction to Lean Development -

Learn how to shift to the Lean process.

Introduction to Rational Unified Process -

Learn how the Rational Unified Process can help you be more effective in the development of production-quality software.

SAFe Scrum/XP for Teams -

Learn how to enhance Scrum learning with Lean thinking and software engineering practices.

Writing User Stories -

Learn how to effectively create user stories.

Introduction to Apache Spark in Production -

Learn about the architecture and internals of Spark, a fast and general engine for big data processing with built-in modules for streaming, SQL, machine learning, and graph processing.

AWS for Developers -

Learn how to work with, configure, and deploy applications to AWS.

AWS Security Fundamentals -

Learn the concepts for establishing security standards in AWS.

Moving to the Cloud -

Learn how to enable the communication and understanding required to effectively support, manage and migrate to AWS.

Azure in a Day -

Learn how to build, deploy, and maintain applications in Azure Cloud.

Introduction to Azure for Managers -

Learn how to plan and manage cloud team resources more effectively.

Advanced SQL -

Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.

Introduction to Programming -

Learn how to create basic programs using Python.

Introduction to SQL -

Learn the core concepts of SQL.

Introduction to SQL for the Non-Technical -

Learn how to effectively interact with, query, and analyze data in SQL databases.

Robotics Process Automation using UiPath -

Learn and gain real hands-on exposure to creating RPA bots, design effective RPA solutions, and automate repeated processes within their organization.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Data Analysis & Visualizations with Excel -

Learn how to use Excel for data analysis to present data into visual insights.

Data Analytics -

Learn how to locate, manipulate, and analyse data with Python, no matter the size of the data set.

Data Engineering Practices -

Learn the foundational concepts of distributed computing, distributed data processing, data management and data pipelines.

Data Storytelling -

Learn how to identify the right context for analysis, perform the analysis and tell a story to drive action.

Data Visualization Tools -

Learn about and compare four different data visualization tools.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Introduction to BigQuery -

Learn to use Google's BigQuery to explore and gain insights from large datasets.

Introduction to Search -

Learn the basics of search within the Solr/Lucene context.

Introduction to Tableau -

Learn the fundamentals of Tableau.

Presenting Visual Data -

Learn how to evaluate a visuals request, choose the most appropriate visualization tool, and create effective visuals to suit the needs of the request.

Working with Power BI -

Learn an in-depth understanding of Microsoft Power BI.

AWS for Developers -

Learn how to work with, configure, and deploy applications to AWS.

AWS Security Fundamentals -

Learn the concepts for establishing security standards in AWS.

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Managers -

Learn about Google Cloud and its technical capabilities in the areas of IT infrastructure, operations, Big Data, and Machine Learning.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Introduction to Azure for Managers -

Learn how to plan and manage cloud team resources more effectively.

Introduction to Cloud Computing -

Learn about the different cloud providers and what they offer.

Moving to a Hybrid Cloud for Managers Adding Google Cloud -

Learn how to develop a platform-based infrastructure using Google Cloud.

Moving to the Cloud -

Learn how to enable the communication and understanding required to effectively support, manage and migrate to AWS.

Data Analytics -

Learn how to locate, manipulate, and analyse data with Python, no matter the size of the data set.

Data Engineering Practices -

Learn the foundational concepts of distributed computing, distributed data processing, data management and data pipelines.

Introduction to SageMaker for Data Analysts -

Learn how to choose the right questions to ask and how to answer them with ML.

Data Analysis & Visualizations with Excel -

Learn how to use Excel for data analysis to present data into visual insights.

Data Storytelling -

Learn how to identify the right context for analysis, perform the analysis and tell a story to drive action.

Data Visualization Tools -

Learn about and compare four different data visualization tools.

Presenting Visual Data -

Learn how to evaluate a visuals request, choose the most appropriate visualization tool, and create effective visuals to suit the needs of the request.

Working with Power BI -

Learn an in-depth understanding of Microsoft Power BI.

HEAVENS -

Learn about the HEAVENS security model and how to transition output to HEAVENS format.

Service Oriented Architectures for Managers -

Learn how to plan, adopt, and effectively manage Service Oriented Architectures (SOA) solutions.

User Experience (UX) - Research and Design -

Learn about the principles of user-centered design and the value of user experience.

Introduction to DevOps -

Learn about the key concepts and components of a DevOps environment.

Introduction to DevOps -

Learn about the key concepts and components of a DevOps environment.

Working with Git -

Learn how to adopt and use Git to manage your source control.

Google Cloud for Data Analysts -

Learn how to perform insightful and responsive data analysis at scale and delight the consumers of the analysis with effective data visualizations.

Google Cloud for Managers -

Learn about Google Cloud and its technical capabilities in the areas of IT infrastructure, operations, Big Data, and Machine Learning.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Introduction to BigQuery -

Learn to use Google's BigQuery to explore and gain insights from large datasets.

Introduction to Cloud Computing -

Learn about the different cloud providers and what they offer.

Moving to a Hybrid Cloud for Managers Adding Google Cloud -

Learn how to develop a platform-based infrastructure using Google Cloud.

Hadoop Essentials -

Learn the fundamentals of the Hadoop platform.

HTML5 For Managers -

Learn how to determine if a switch to HTML5 is worth the time and money.

Developing Web Services with Java EE -

Learn how to formulate web services using the Java Enterprise Edition (EE) platform.

J2EE for Managers -

Learn how Java Enterprise Edition (EE) can be utilized to create business applications.

Java for Managers -

Learn how Java can be used to build business applications via our Software Development Manager training.

Web Services Concepts for Managers -

Learn about the key web services concepts required to effectively manage a web services project.

Web Application Development for Managers -

Learn how to differentiate between the major web application frameworks and the strengths and weaknesses of each in order to better manage developer teams and software development planning.

Introduction to Linux System Administration -

Learn how to effectively administer a Linux development box.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Data Storytelling -

Learn how to identify the right context for analysis, perform the analysis and tell a story to drive action.

Intermediate Google Cloud For Data Analysts -

Learn how to analyze large scale, distributed, and real-time datasets with MapReduce and Apache Beam based capabilities of Google Cloud and practice identification and analysis of effective data features for predictive analytics with BigQuery ML and TensorFlow.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Introduction to SageMaker for Data Analysts -

Learn how to choose the right questions to ask and how to answer them with ML.

Introduction to Tableau -

Learn the fundamentals of Tableau.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

OOAD Programming Hack-a-thon -

Learn how to examine key OO concepts and OOAD strategies in one course.

Great Presentation Skills -

Learn to overcome presentation anxiety and create effective presentations.

Equipping IT Professionals for Tech Support -

Learn the communication, conflict resolution and people skills needed to grow in an IT support role.

Great Presentation Skills -

Learn to overcome presentation anxiety and create effective presentations.

Introduction to Programming -

Learn how to create basic programs using Python.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

Python for Data Scientists -

Learn how to use Python to explore and analyze data, run basic regression models, visualize data, and apply some basic machine learning models to data.

Robotics Process Automation using UiPath -

Learn and gain real hands-on exposure to creating RPA bots, design effective RPA solutions, and automate repeated processes within their organization.

Ruby for Managers -

Learn how to successfully manage software projects being developed with Ruby and/or Rails.

Ruby for Testers -

Learn how to leverage Ruby to support the Q/A and testing processes.

Introduction to Rational Unified Process -

Learn how the Rational Unified Process can help you be more effective in the development of production-quality software.

SAFe Scrum/XP for Teams -

Learn how to enhance Scrum learning with Lean thinking and software engineering practices.

Introduction to Search -

Learn the basics of search within the Solr/Lucene context.

Security Best Practices -

Learn the best practices for establishing security standards in your organization.

HEAVENS -

Learn about the HEAVENS security model and how to transition output to HEAVENS format.

Introduction to OAuth 2 -

Learn how to build advanced web security with OAuth.

Security Best Practices -

Learn the best practices for establishing security standards in your organization.

HEAVENS -

Learn about the HEAVENS security model and how to transition output to HEAVENS format.

Introduction to OAuth 2 -

Learn how to build advanced web security with OAuth.

Introduction to Linux System Administration -

Learn how to effectively administer a Linux development box.

Domain Models in Practice -

Learn about the technical relationship between code, culture, and architecture and how to model and implement software from a business perspective.

Introduction to BDD -

Learn the skills and concepts necessary to use BDD in software development.

Domain Models in Practice -

Learn about the technical relationship between code, culture, and architecture and how to model and implement software from a business perspective.

Introduction to BDD -

Learn the skills and concepts necessary to use BDD in software development.

Advanced SQL -

Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.

Introduction to SQL -

Learn the core concepts of SQL.

Introduction to SQL for the Non-Technical -

Learn how to effectively interact with, query, and analyze data in SQL databases.

Migrating to Apache Struts 2 -

Learn how to migrate from Apache Struts 1.x to Apache Struts 2.x.

Advanced Tableau -

Learn how to improve analytical ability and the ability to provide data insights.

Data Storytelling -

Learn how to identify the right context for analysis, perform the analysis and tell a story to drive action.

Intermediate Tableau -

Learn advanced Tableau knowledge and skills.

Introduction to Tableau -

Learn the fundamentals of Tableau.

User Experience (UX) - Research and Design -

Learn about the principles of user-centered design and the value of user experience.

Writing User Stories -

Learn how to effectively create user stories.

Advanced UML -

Learn about all of the UML diagrams in the UML 2.5 specification via our Advanced UML course.

Introduction to UML -

Learn how to utilize development oriented Unified Modeling Language (UML) Diagrams.

Web Application Development for Managers -

Learn how to differentiate between the major web application frameworks and the strengths and weaknesses of each in order to better manage developer teams and software development planning.