Author name: Ramesh Banjade

lBusiness Intelligence Developer with a demonstrated history of working in the banking industry. My area of expertise is centered around the use of cutting-edge tools and technologies, including Power BI, SQL, SQL Server Reporting Services (SSRS), SSAS, Python, Machine Learning, and Predictive Modeling to extract meaningful insights from data and facilitate informed decision making and business growth. Ramesh Banjade Business Intelligence Developer Ramesh Banjade | LinkedIn

Data Analysis Expressions (DAX) in Power BI- part I

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Power BI is a powerful business intelligence tool developed by Microsoft that allows you to connect to various data sources, transform and model your data, and create interactive visualizations and reports. It provides advanced data analysis and visualization capabilities to help you gain insights and make informed business decisions. https://learntodatascience.com/index.php/how-to-load-data-in-power-bi-desktop/tutorial/1614/Load Data in Power BI Desktop […]

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Self-Service AI with Power BI Desktop: Machine Learning Insights for Business

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Self-Service AI with Power BI Desktop is a powerful feature that allows business users to incorporate machine learning insights into their data analysis and reporting workflows using Microsoft Power BI Desktop. Power BI Desktop is a popular business intelligence tool that support to connect various data sources, transform and model the data, and create interactive

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Microsoft Power BI PL-300 Exam Certification: Practice Tests, and Study Guides

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The Microsoft Power BI PL-300 exam is a certification exam designed for individuals who want to become certified as a Power Platform Solution Architect. This exam measures your ability to design and implement solutions that leverage Power BI. In this article, we’ll take a closer look at the advantages and disadvantages of taking the PL-300

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Expert in Data Modeling with Power BI

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Data modeling refers to the process of creating relationships between tables, defining calculations and aggregations, and creating hierarchies. The following are some of the key importance parts of data modeling in Power BI Understanding the data sources Before starting the data modeling process, it’s important to understand the data sources that will be used. This

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Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing

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Power BI is a powerful business intelligence tool that help the organizations to make data-driven decisions. One of the strengths of Power BI is its ability to integrate with R and Python, programming languages for data analysis and visualization. We can use R and Python in Power BI to ingest, transform, and visualize data. Ingesting

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The ROC-AUC Curve: A Powerful Tool for Analyzing Binary Classification Model Performance

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The ROC-AUC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various classification thresholds. It provides a visualization of how well a binary classification model is able to distinguish between positive and negative examples. A model that performs better than random guessing will have an ROC curve

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Financial Modelling in Power BI: Forecasting Business Intelligently

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Financial modeling in Power BI is the process of creating interactive and dynamic financial models that help the users to analyze and understand financial data in a more effective way. Using Power BI, users can build financial models effectively using data from various sources such as Excel, SQL Server, and other databases. Power BI support

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