Power BI: Basics to Advancedのトレーニングコース

Microsoft Power BI is a business intelligence platform for transforming, analyzing, visualizing, and presenting data.

This instructor-led, live training (online or onsite) is aimed at business analysts, data analysts, and developers who wish to use the advanced features and tools in Power BI to perform complex data analysis and create interactive visual reports.

By the end of this training, participants will be able to:

• Install and configure Power BI and the necessary components.
• Understand and explore the advanced features, components, and tools in Power BI.
• Get valuable insights on advanced data analysis and strategy.
• Apply advanced data modeling techniques.
• Learn how to implement advanced formulas and calculations using DAX.
• Know the tips and tricks on data handling, visualization, and presentation.
• Make reports and dashboards interactive to enable collaboration within Power BI.
• Learn and explore embedded analytics in Power BI.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Data analysis refers to the process of obtaining, cleaning, and analyzing data, often times in a visual manner, to derive insights for better decision making. More and more data is being stored in databases in the cloud so it is important to have a strategy for understanding, managing and accessing such data. One popular tool for accessing and visualizing data is Power Bi.

This instructor-led, live training (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

By the end of this training, participants will be able to:

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Microsoft Excel is the world's most popular business analysis, reporting, and strategy software. Power BI is a business intelligence tool for visualizing data at the operating level of business.

This instructor-led, live training (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI.

By the end of this training, participants will be able to:

• Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
• Use DAX formulas in Power BI for complex calculations.
• Create and use visualizations and charts for particular analysis cases.
• Import with Power View to move from Excel based Power BI to independent Power BI.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Learn how to Get & Transform Data to Prepare Interactive Dashboards

Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports.

Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc

About the Course:

Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.

Audience:

This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.

At Course Completion

Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.

• Power BI
• Power BI Desktop
• Working with CSV, TXT, and Excel Worksheets
• Connecting to Databases
• Merging, Grouping, Summarizing, and Calculating Data
• Reporting
• Power BI Online

Power BI is a business analytics service created by Microsoft.

Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.

By the end of this training, participants will be able to:

• Design beautiful and efficient dashboards following the critical rules.
• Choose the right charts based on the kind of data for display.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Microsoft Power BI is a business intelligence platform for transforming, analyzing, visualizing, and presenting data. Data Analysis Expressions (DAX) is a formula language that allows users to create custom calculations and expressions in Power BI to analyze data and derive insights.

This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level business analysts, data analysts, and developers who wish to learn the fundamentals of DAX in Power BI.

By the end of this training, participants will be able to:

• Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
• Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
• Learn best practices to optimize DAX performance.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.

By the end of this training, participants will be able to:

• Create visually compelling dashboards that provide valuable insights into data.
• Obtain and integrate data from multiple data sources.
• Build and share visualizations with team members.
• Adjust data with Power BI Desktop.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This training is based on the latest version of Splunk.
• To request a customized training for this course, please contact us to arrange.

Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.

By the end of this training, participants will be able to:

• Configure real-time dashboards.
• Create custom visualizations.
• Integrate rich analytics into existing applications.
• Embed interactive reports and visuals into existing applications.
• Access data from within an application.
• Master Power BI Portal, Desktop, Embedded and Rest API.
• Integrate R Scripts into Power BI Desktop.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

PowerBI integration with SAP Business One is the process of connecting PowerBI, Microsoft's interactive data visualization and business intelligence tool, with SAP Business One, an integrated enterprise resource planning (ERP) solution designed for small and medium-sized businesses. The integration allows users to extract, transform, and analyze data from SAP B1 using the advanced analytics and visualization capabilities of PowerBI.

This instructor-led, live training (online or onsite) is aimed at intermediate-level business intelligence professionals who wish to have a comprehensive understanding and practical skill set for integrating PowerBI with SAP B1.

By the end of this training, participants will be able to:

• Understand the fundamentals of SAP Business One and PowerBI.
• Successfully integrate PowerBI with SAP B1, including setting up the necessary tools and connectors.
• Efficiently extract data from SAP B1 and transform it in PowerBI for effective analysis.
• Create dynamic and insightful reports and dashboards in PowerBI using data from SAP B1.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Data Analytics with Python in Power BI is the practice of using the Python programming language within Microsoft Power BI, a powerful business intelligence and data visualization tool.

This instructor-led, live training (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.

By the end of this training, participants will be able to:

• Learn how Python can be integrated into Power BI for data analysis.
• Use Python scripts to load, clean, and preprocess data within the Power BI environment.
• Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
• Acquire advanced data analysis skills using Python.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008.

Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.

Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.

The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.

The participant will acquire knowledge of scripting XML / A and MDX.

AWS QuickSight is a business analytics service by Amazon. It provides tools for building data visualization, performing ad hoc analysis, and getting business insights from different data sources.

This instructor-led, live training (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization.

By the end of this training, participants will be able to:

• Understand the basic concepts of AWS QuickSight.
• Use AWS QuickSight to create data analysis, reports, and insights.
• Use AWS to create relationships between data for enhanced analysis.
• Learn different types of visualizations in understanding data.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.