DA-100T00 Analyzing Data with Power BI

TOTAL DAYS: 4 | TOTAL HOURS: 28

DA-100T00 Analyzing Data with Power BI

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Introduction to Java 9

TOTAL DAYS: 5 | TOTAL HOURS: 35

Students who attend Java 9 and OO Essentials will leave this course armed with the required skills to develop solid object-oriented applications written in Java, using sound coding techniques and best coding practices. Geared for developers with prior OO development experience in languages such as C#, C++ or SmallTalk, this course will teach students everything they need to become productive in essential Java programming. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today’s world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Java 9 modular system (Project Jigsaw) Learn to use Java exception handling features Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Use the JDBC API for database access Take advantage of the Java tooling that is available with the programming environment being used in the class Specific Java 9 features that are covered in the course include: The Modular system (Project Jigsaw) Private methods in interfaces

Microsoft Power BI: Data Analysis Practitioner (Second Edition)

TOTAL DAYS: 2 | TOTAL HOURS: 13

Microsoft Power BI: Data Analysis Practitioner (Second Edition)

As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of “big data” is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages.

Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI’s data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

Completion of this course will earn 1.15 CEUs.