In this Power BI tutorial, beginners learn the key differences between Power Query and DAX to understand when to use each engine effectively. Power Query serves as the primary ETL engine, utilizing the M language to clean, shape, structuralize, and transform raw data before loading it into the data model. It excels at foundational data…
In this video, we dive into a comprehensive data analysis and visualization project for Global Swift Logistics. The project leverages a JSON file containing detailed shipping and transportation information. Using Power BI, we create a dynamic, multi-page dashboard to analyze various aspects of the company’s shipping operations. We start by building a dashboard to track…
Ready to move past DAX for your year-over-year analysis? This tutorial shows you a powerful alternative, using Power Query to create stunning Power BI dashboards. You’ll learn how to transform and manipulate your data directly within Power Query, creating new columns for year and month to streamline your analysis. Instead of relying on complex DAX…
This YouTube tutorial provides a foundational understanding of data connectivity and transformation within Power BI, focusing on the crucial role of Power Query. Learn how to bring your data into Power BI from various sources, including files like Excel and CSV, databases, and cloud services. Discover the essential steps to establish these connections and prepare…
This tutorial provides a comprehensive guide to pivoting and unpivoting data within SQL Server. We’ll delve into the process of transforming data from a row-based to a column-based format, and vice versa. You’ll learn how to pivot data based on single or multiple columns, as well as how to unpivot pivoted data to restore its…
In this power BI visualization tutorial, we focus on comparing sales data from a vertical dataset across different years. Beginning with data transformation in the Power Query Editor, we progress to creating a comparative visual for a dashboard. Step by step, we navigate through loading data, adding visual elements like text boxes and line charts,…
Welcome to another Power BI tutorial! In this tutorial, we’ll dive into the world of analyzing and presenting credit sales data, specifically focusing on transactions with doubtful or bad debts. We’ve got a robust dataset comprising over 14,000 credit sales transactions. This data includes essential details such as transaction ID, date, sales amount, days past…
Welcome to another Power BI tutorial where we’ll dive into the world of folder parameterization and dynamic dashboard connections. We’ll show you how to leverage folders as a robust data source, allowing you to effortlessly load various files, such as CSV or Excel, into your Power BI reports. With folder connections, you can automate the…
Welcome to another Python tutorial where we will learn how to create a polynomial regression line using the scikit-learn library. Polynomial regression is a type of linear regression that enables us to model non-linear relationships between variables. In this tutorial, we will cover the following steps: Colab Notebook: https://colab.research.google.com/drive/178bLanYnwxGRqCwLf0YHONBiGtGBJ1Vr?usp=sharing #PythonTutorial #PolynomialRegression #scikitLearn #DataScience #MachineLearning #PythonProgramming…
Welcome to our tutorial on understanding the essential concepts of Looker Studio. In this tutorial, we will cover the basic concepts and techniques that are required to use Looker Studio effectively. We will begin by exploring how to connect to datasets, transform the data, visualize the data, and share the reports. Connecting to datasets requires…
