Power Bi Article

1. Enroll now : https://nareshit.com/courses/power-bi-online-training Course Overview Naresh IT offers top-notch Power BI training, both online and in the classroom, aimed at equipping participants with an in-depth grasp of Microsoft Power BI, a premier business intelligence and data visualization platform. Our course delves into crucial facets of data analysis, visualization, and reporting utilizing Power BI. Through hands-on sessions, students will master the creation of dynamic dashboards, data source connectivity, and the extraction of actionable insights. Join Naresh IT for unrivaled expertise in Power BI. Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best. Description The Power BI course begins with an introduction to business intelligence and the role of Power BI in transforming raw data into meaningful insights. Participants will learn about the Power BI ecosystem, including Power BI Desktop, Power BI Service, and Power BI Mobile. The course covers topics such as data loading, data transformation, creating visualizations, and sharing reports. Practical examples, hands-on projects, and real-world scenarios will be used to reinforce theoretical concepts. Course Objectives The primary objectives of the Power BI course are as follows:

2. 1.Introduction to Business Intelligence and Power BI: Provide an overview of business intelligence concepts and the features of Power BI. 2.Power BI Ecosystem: Understand the components of the Power BI ecosystem, including Power BI Desktop, Service, and Mobile. 3.Data Loading and Transformation: Learn the process of loading data into Power BI and transforming it for analysis and visualization. 4.Data Modeling: Gain skills in creating data models within Power BI to establish relationships and hierarchies. 5.Creating Visualizations: Explore the various visualization options in Power BI and create interactive and informative reports and dashboards. 6.Advanced Analytics: Understand how to leverage advanced analytics features in Power BI, including DAX (Data Analysis Expressions) for calculations. 7.Power BI Service: Learn about the cloud-based service for sharing, collaborating, and publishing Power BI reports. 8.Data Connectivity: Explore the options for connecting Power BI to various data sources, including databases, cloud services, and Excel. 9.Sharing and Collaboration: Understand how to share Power BI reports with others, collaborate on datasets, and use workspaces. 10.Security and Compliance: Explore security measures and compliance considerations when working with sensitive data in Power BI. Prerequisites  oBasic understanding of data analysis concepts. oFamiliarity with Microsoft Excel and its functions. oKnowledge of relational databases and SQL. oUnderstanding of data visualization principles. oAwareness of business intelligence (BI) concepts and tools. oExperience with basic data modeling and transformation techniques. Course Curriculum

3. SQL (Structured Query Language) What is SQL? What is Database? Difference between SQL and Database Types of SQL Commands Relationships in SQL Comments in SQL Alias in SQL Database Commands Datatypes in SQL Table Commands Constraints in SQL Operators in SQL Clauses in SQL Functions in SQL JOINS Set operators Sub Queries Views Synonyms Case Statements Window Functions                     

4. Introduction to Power BI Power BI Introduction Power BI Desktop (Power Query, Power Pivot, Power View, Data Modelling) Power BI Service Flow of Work in Power BI Power BI Architecture      Power BI Desktop Installation Installation through Microsoft Store Download and Installation of Power BI Desktop   Power Query Editor / Power Query Overview of Power Query Editor Introduction of Power Query UI of Power Query Editor How to Open Power Query Editor File Tab Inbuilt Column Transformations Inbuilt Row Transformations Query Options Home Tab Options Transform Tab Options Add Column Tab Combine Queries (Merge and Append Queries) View Tab Options Tools Tab Options Help Tab Options Filters in Power Query                 Data Modelling / Model View What is InMemory Columnar database and advantages What is Traditional database Difference between InMemory Columnar database and Traditional database xVelocity In-memory Analytics Engine (Vertipaq Engine) Data Connectivity modes in Power BI What is Data Modelling? What are a Relationships? Types of Relationships/Cardinalities One-to-One, One-to-many, Many-to-One, Many-to-Many Why do we need a Relationship? How to create a relationship in Power BI Edit existing relationship            

5. Delete relationship AutoDetect Relationship Make Relationship Active or Inactive Cross filter direction (Single, Both) Assume Referential Integrity Apply Security Filter in Both Directions Dimension Column, Fact Column. Dimension table, Fact Table What is Schema? Types of Schemas and Advantages           Power View / Report View Introduction to Power View What and why Visualizations? UI of Report View/Power View   

6. Difference between Numeric data, Categorical data, Series of data Difference between Quantitative data and Qualitative data Categorical data Visuals Numeric and Series of Data Tabular Data Geographical Data KPI Data Filtering data Filters in Power View Drill Reports Visual Interactions Grouping Sorting Bookmarks in Power BI Selection Pane in Power BI Buttons in Power BI Tooltips                  Power BI Service Power BI Architecture How to Sign into Power BI Service account Power Bi Licences (Pro & Premium Licences) Team Collaboration in Power BI using Workspace Sharing Power BI Content using Basic Sharing, Content Packs and Apps Refreshing the Data Source Deployment Pipelines Row Level Security (RLS)        