How do I learn MS Power BI

1. How do I learn MS Power BI? Why learn about Power BI? One of the most popular data tools on the planet is Microsoft Power BI. Power BI is used by 50,000 businesses globally to clean, process, model, and visualize their data. With more than 80,000 available positions on LinkedIn, Power BI adoption has been expanding significantly. Power BI is frequently used by most business analysts and data analysts. You may advance your career and become a data professional by mastering Power BI. Obtaining a Microsoft Power BI Data Analyst certification is the greatest method to demonstrate your Power BI expertise to companies. By being certified, you may demonstrate to potential employers that you have experience using Power BI tools including the Power Query editor, M language, and DAX. You must pass the PL-300 test, which is an upgraded version of the DA-100 exam, to become certified. You must have prior working knowledge of every facet of the Power BI interface in order to pass the PL-300 exam. Additionally, you want to create a project portfolio if you want to stand out in employment interviews. Your ability to perform complicated analysis in the actual world will be demonstrated by your portfolio. In this article, we'll go over 5 steps to get certified, construct a portfolio, and gain practical experience with Power BI. You'll be able to launch a new data career if you follow these instructions, but it will require work and commitment. How to become certified in Power BI Although Power BI has a user-friendly graphical user interface, there is a great deal of complexity hidden beneath it. It's simple to think you understand Power BI after watching videos or reading guides. But you'll need practical skills if you want to ace the test and become job-ready. Making projects is the best approach to develop practical Power BI abilities. You will gain expertise doing everything from loading data to cleaning it to visualizing it through projects that reflect real-world data analysis. We'll outline 5 phases that will help you gain practical Power BI abilities by developing projects. You'll be ready for the PL-300 exam and job interviews if you have practical skills. If you're looking for ways to learn faster, we've It's simple to view videos or read articles, and also worked with Microsoft to create a number of Power BI courses that will provide you with all the knowledge necessary to pass the PL-300 exam. Learn how to use the interface Installing Power BI and being comfortable with its user interface is the first step in learning it. Fortunately, Microsoft offers Power BI as a free download. You must run Power BI in a virtual machine if you don't use Windows because it can only run on that operating system. After installing Power BI, you should become comfortable with the interface's key components. The following resources can assist you with this:

2. Hands-on Power BI intro course - in this interactive course, you will learn the fundamentals of Power BI and get hands-on experience. You can use the Microsoft Power BI quickstart tutorial to get started with Power BI. Create some visualisations in step two! The next thing you should do is use clean data sets to create some visualisations in the Report View. You want data sets where modelling and data cleaning aren't necessary much. You will get practice importing data and producing reports as a result. The following data sets can be used to make visualizations: Reviews of various wines from throughout the world are included in wine reviews. NBA player information, including each player's FiveThirtyEight RAPTOR rating Making some intriguing visualizations from these datasets just requires a minimal amount of data cleansing. To understand how to create visualizations in Power BI, you may also refer to the following sources: The interactive course "Hands-on Power BI Visualisation" will show you how to develop and share Power Visualisations for BI Power BI sample report will help you grasp the key report elements. Microsoft Power BI visualization guide provides an overview of the various Power BI visualizations. Clean data and the model You may use Power BI to perform more intricate analysis if you have a handle on creating visualisations. Building data models, using DAX to compute numbers, and using the Power Query Editor to clean up data are all required. These elements will initially appear to be complicated, but you may learn them one at a time by working on projects. The following data sets can be used to investigate data cleansing and modeling: Olympic athletes - from 1896 to the present, this contains data about Olympic athletes. The relationship between the two files noc_regions.csv and olympic_athletes.csv may be modeled. These datasets can be combined with other datasets, such as population data for a particular nation. Player ratings from the well-known football video game FIFA are included in the FIFA statistics. You can pair these combining a dataset with additional datasets, such as gdp or country population. Put your reports online. You need to be able to share your analysis with your team while using Power BI at work. Using the Power BI service, this is accomplished. You may publish reports you've created in Power BI desktop to the Power BI service and share them with others. You'll need to sign up for the Power BI service and get comfortable with the interface before you can practice publishing your results. These tools can be useful:

3. Hands-on Power BI Data Analysis training - you will learn how to manage workspaces and the Power BI service in this hands-on course. Getting started with the Power BI service - this post will guide you through the process of signing up for the service and doing your initial actions. You can use workspaces in the Power BI service with the help of the Microsoft guide to workspaces. Create a portfolio of projects. You must be able to combine all of your knowledge into an end-to-end workflow once you have a firm grasp of Power BI's key capabilities. This process entails:  Locating and adding a dataset to Power BI  Using the Power Query Editor to clean up the data  modeling the data and establishing connections  utilizing DAX to calculate any necessary columns  making reports and visualizations  Putting those reports online To completely comprehend how to use Power BI and all of the features, make sure you go through the entire process with a variety of datasets. Additionally, you can build a portfolio using the work you produce for these projects. On your Github profile, résumé, or personal website, you can showcase your finished projects as a portfolio to potential employers.