BI with Excel Data Model Training Course with EB

BI Excel Data Model

This is a Business Intelligence tool manufactured by Microsoft, which is almost similar to Power BI. Any Power BI users should learn Excel data Model before learning Power BI to maximise the the benifits of this BI engine by Microsoft

BI with Excel Data Model

Power Query Editor is a data transformation and data preparation tool available in Microsoft Excel and other Microsoft products like Power BI. It allows users to connect to various data sources, transform and shape the data, and load it into Excel or other destinations.

With Power Query Editor, you can perform several operations on your data, such as:

Expand this to know more about Power Query Editor and Power Pivot......

Power Query Editor

Data Connection: You can connect to a wide range of data sources, including databases, Excel files, CSV files, text files, SharePoint lists, web pages, and more. This allows you to bring data from multiple sources into Excel for analysis.
Data Transformation: Power Query Editor provides a graphical interface to perform various data transformation tasks. You can filter rows, remove duplicates, split columns, merge columns, pivot data, unpivot data, and apply various calculations and transformations to your data.
Data Cleaning: You can clean and format your data using Power Query Editor. It allows you to remove unwanted characters, replace values, change data types, and handle missing or null values. You can also apply data quality checks and corrections.
Data Merging: Power Query Editor enables you to combine data from multiple sources by merging or appending tables. This is useful when you have related data in different tables or files and want to consolidate them into a single dataset.
Data Load: Once you have transformed and shaped your data in Power Query Editor, you can load it into Excel or other destinations such as Power Pivot, Power BI, or external databases. The loaded data can be refreshed to reflect any changes in the source data.

Power Query Editor provides a user-friendly and intuitive interface, allowing users to perform complex data transformations without the need for advanced programming skills. It helps streamline the data preparation process and improves data analysis capabilities in Excel.

Power Pivot Data Model

The Power Pivot data model is a feature in Excel that allows you to create powerful data analysis and reporting solutions. It provides an in-memory database engine that can handle large volumes of data and perform advanced calculations, aggregations, and relationships between tables.

Here are some key features and benefits of the Power Pivot data model:

Data Import: With Power Pivot, you can import and combine data from multiple sources, such as Excel worksheets, databases, text files, and other external sources. You can bring in millions of rows of data without affecting the performance of Excel.
Data Modeling: Power Pivot allows you to create a data model by defining relationships between tables. This is done using a drag-and-drop interface, where you connect columns with matching data. The data model can include calculated columns, hierarchies, and perspectives to organize and enhance the data structure.
DAX Formulas: The Power Pivot data model uses Data Analysis Expressions (DAX) formulas, a powerful formula language, to perform calculations and create custom measures. DAX allows you to define complex calculations, aggregations, time intelligence functions, and much more.
Advanced Calculations: Power Pivot enables you to perform calculations that go beyond the capabilities of traditional Excel formulas. You can create measures that summarize data across multiple tables, perform advanced statistical analysis, and generate complex calculations based on specific business requirements.
Data Analysis: Once you have created the data model, you can use Power Pivot to perform advanced data analysis. It provides features like slicers, pivot tables, and pivot charts that allow you to slice and dice data, explore trends, and generate interactive reports.
Scalability and Performance: The Power Pivot data model is designed to handle large datasets efficiently. By leveraging the in-memory engine, it can quickly process and aggregate large volumes of data, providing fast response times for interactive analysis.
Integration with Power BI: The Power Pivot data model is closely integrated with Power BI, Microsoft's business intelligence platform. You can leverage the same data model in both Excel and Power BI, allowing you to create consistent reports and dashboards across different platforms.

The Power Pivot data model enhances Excel's capabilities by providing a robust and scalable solution for data analysis and reporting. It empowers users to work with large and complex datasets, perform advanced calculations, and gain valuable insights from their data.

Key Highlights

20 hours of instructor led training
Recorded videos of all the training days, except the last day
Only comfortable weekend (Sat & Sun only)
Key Industry Tips from the trainer
Doubt solving and revision on last day for 5 hours
Industry recognized Certificate
Job oriented training

Who can apply for this course

Power BI is a versatile tool that can benefit various professionals and roles across different industries. Here are some individuals who can benefit from learning Power BI:

Data Analysts: Power BI is particularly valuable for data analysts who work with large datasets and need to analyze, visualize, and present data effectively. It enables them to create interactive dashboards, reports, and visualizations to communicate insights to stakeholders.
Business Intelligence (BI) Professionals: Power BI is an essential tool for BI professionals who are responsible for collecting, analyzing, and presenting data to support decision-making within an organization. Learning Power BI enhances their ability to extract insights and provide actionable recommendations.
Data Scientists: Power BI can complement the work of data scientists by providing a platform to present their findings and communicate complex analyses in a more accessible way. Power BI's integration with R and Python allows data scientists to combine their advanced analytics with interactive visualizations.
Business Managers and Executives: Power BI enables business managers and executives to have a consolidated view of key performance indicators (KPIs) and metrics. It helps them monitor business performance, identify trends, and make data-driven decisions.
Financial Analysts: Power BI can assist financial analysts in analyzing financial data, creating financial reports, and tracking key financial metrics. It enables them to present financial insights in a visually compelling and interactive manner.
Sales and Marketing Professionals: Power BI can help sales and marketing professionals gain insights into customer behavior, sales performance, and marketing campaigns. It allows them to track sales data, visualize customer trends, and optimize marketing strategies.
IT Professionals: Power BI knowledge is valuable for IT professionals involved in data management, data integration, and system administration. It helps them understand data connectivity, data modeling, and security aspects related to Power BI implementation.
Project Managers: Power BI can aid project managers in tracking project progress, visualizing project data, and generating project performance reports. It enables them to monitor key project metrics and identify areas that require attention.
Educators and Researchers: Power BI can be utilized by educators and researchers to analyze and visualize educational or research data. It helps in presenting findings, conducting data-driven research, and enhancing data literacy among students.

These are just a few examples of professionals who can benefit from learning Power BI. Ultimately, anyone who deals with data analysis, reporting, and decision-making can acquire valuable skills by learning Power BI.

Pre requisite for this course

You should have a passion to learn
No IT or Software knowledge required for this course
Your laptop of Desktop
Office 365 / 2019 / 2021
Only windows operating system, till now PBI do not work on mac operating system
We emphasize on writing own notes

Future of Power BI & Data Model in Excel

It is hard to persuade the management of any organization to invest huge amount of money in to business intelligence software. Which requires lot of changes in the mind set at the same time requires more time in the transitioning process. Power Query and Power Pivot are the 2-business intelligence engine of Excel which works exactly in the same way as Power BI. Once you gain the knowledge of Power query editor in Excel and its DAX functions, anyone can import the completed data model directly in to the power BI software. Working on Excel BI would be helpful for an organization who is thinking of transitioning towards Power BI and also for an organization who do not want to invest in to Business Intelligence tools but have to churn vast amount of data. Power query editor is a very powerful business intelligence engine.

It's worth noting that Power BI has gained significant popularity and adoption across various industries and organizations.

Power BI is used by companies of all sizes, ranging from small businesses to large enterprises, across different sectors such as finance, healthcare, retail, manufacturing, technology, and more. Some well-known companies that have publicly acknowledged their use of Power BI include Adobe, Coca-Cola, Heathrow Airport, Volvo, Schneider Electric, and many others.

Since Power BI is a versatile and widely used business intelligence tool, it's likely that numerous organizations across industries continue to leverage its capabilities for data analysis, reporting, and visualization in 2023. It's always a good idea to check with Microsoft or industry reports for the most up-to-date information on Power BI adoption by specific companies.

Skills covered

Course Fees weekend Online

INR 150,00 7,500

For bulk admissions call or WhatsApp on 73873 2931

Course Fees Offline

Presently offline trainings are not been conducted

For Corporate trainings please contact or WhatsApp on number 73873 29031

BI Excel Data Model Course Contents

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