
Explore power BI essentials from data sources and cleansing to data modeling, relationships, and lookups, then build interactive dashboards with visualizations, filters, and DAX calculations for sharing insights.
Learn the difference between business intelligence and Power BI, and how Power BI fits into the BI pipeline with data sources, ETL, and dashboards, enabling centralized analysis and decision making.
Explore how data visualization drives decision making by turning diverse data into insights with Power BI, using exploration to reveal trends and outliers.
Explore the Power BI desktop interface, create visuals in the report view, connect to data sources with get data, and examine data, model, and relationships in data and model views.
Explore Power BI's interface, including Power Query for data transformation, Get Data for multiple sources, and the refresh button, then insert visuals, Power Automate, and Power Apps.
Connect to data sources with get data, browse multiple databases, and work with files from Excel, text, XML, JSON, PDF, SharePoint, and Salesforce.
Explore importing text files in Power BI, test tab and space delimiters, and perform ETL transformations with Power Query to load and shape data for analysis.
Import data from a web page into Power BI and locate the historical table. Transform it with Power Query for analysis.
Import multiple files from a single folder with the same format, then combine them. Filter out incorrect files and apply transformations as you prepare the data in Power BI.
Import a JSON file into Power BI and let Power Query automatically structure and expand the data. Discover connecting via Get Data, handling multiple JSON files, and viewing results.
Import Excel data into Power BI using Get Data, let Navigator identify tabs, select multiple tables, and transform in the Power Query Editor to ready data for analysis.
Learn how to perform transformations in Power BI with Power Query, manipulating applied steps, promoting headers, reordering and removing columns, and handling errors that affect data loading.
Explore Power BI transformations and data source options in the Power Query editor, including applying changes, adding data sources, creating a physical table, and reviewing the M code.
Master Power BI transformations by selecting and removing columns, filtering rows, splitting columns, using headers, replacing values, and advanced grouping to summarize and de-duplicate data.
Merge queries with a left outer join to move the total value from the second table into the first, then append two similar tables to create a combined view.
Explore Power BI transformations by using transpose, pivot and unpivot to shape data, adjust data types, replace values, split columns, and extract date components for analytics.
Explore Power BI transformations by manipulating columns: duplicate or create new columns from examples or selections, and build custom or conditional formulas using if conditions.
Explore fact and dimension tables and how they form the star schema in Power BI. Compare snowflake and star models with numeric data, dates, and keys to enable analysis.
Create a Power BI data model from scratch by connecting fact and dimension tables, building a star schema with robust relationships, and transforming data for loading and removing duplicates.
Identify and fix duplicate data in dimensions, clean source data in Excel, and establish correct many-to-one relationships in Power BI to analyze sales against targets.
Create a calendar dimension in Power BI by building a dimension calendar table with start date and year, month, and day components, and establish relationships to the fact orders.
Create a KPI table in Power BI, define measures for profit, quantity, sales, and shipping costs, and add a KPI target and percentage to track achievement against target.
Explore a second method to connect data in Power BI using lookup values between two tables. Create a new column in the destination table to map product name to category.
Learn to build Power BI reports using tables and matrices, including category and KPI profits, drill down by year, and apply formatting and layout options.
Create and customize cards in Power BI Essentials, including KPI, multi-field, and trend with targets. Adjust titles, colors, and sizes and synchronize objects across pages for cohesive dashboards.
Explore pie charts, donut charts, and tree maps in Power BI, comparing their visuals using profit by category and subcategory, with filters and top five insights to refine dashboards.
Explore bar charts, line charts, and combined visuals to compare monthly sales, quantity, profit, and targets.
Discover three Power BI filtering methods: selecting connected objects, using a filter bar to apply page or all pages filters, and using slicers with synchronized filtering across pages. Learn to control interactions with edit interactions and relationships to stop unwanted filtering.
Create Power BI layouts by arranging line and stacked column charts, adding category filters, and using PowerPoint and Canva backgrounds. use drop-down and multiple filters and publish to the web.
Explore Power BI themes to customize colors and layouts, switch between built-in options, access the theme gallery, and upload or tailor your current theme.
Power BI essentials for basic to intermediate training cover importing tables, connections, and relationships, plus basic reporting, layout, and report creation.
Unlock the power of data visualization and analysis with our comprehensive Power BI Essentials training program. Whether you're a beginner with no prior experience or an intermediate user looking to expand your skills, this course is designed to provide you with a solid foundation and practical knowledge of Power BI.
In this hands-on training, you'll embark on a journey from mastering the basics to becoming proficient in intermediate-level Power BI techniques. As an additional, in the end of the training you should have an excellent tips and tricks guide repository, ensuring that you can always find and use the tool's core concepts and features.
By the end of this Power BI Essentials training, you'll have the confidence and competence to create insightful reports and dashboards that drive informed decision-making. Whether you're a business professional, analyst, or aspiring data enthusiast, this course will empower you to harness the full potential of Power BI. Join us and take your data analysis skills from basic to intermediate level. Enroll now and embark on your journey to becoming a proficient Power BI user.
Course Curriculum:
Introduction to Power BI:
Business Analysis - Course Introduction
What is Business Intelligence vs What is Power BI
Understand the significance of data visualization in decision-making.
Familiarize yourself with Power BI's interface and components.
Connecting to Data Sources:
How to Get Data
Connecting with CSV Files
Connecting with Text Files
Web Data Import
Connecting with Folders (Multiple files)
JSON Data Import
Connecting with Excel Files
Data Preparation and Data Cleansing:
Power Query Transformations
New Query
Working with Columns
Group by
Split Columns
Merge / Append Queries
Column data types
Date & Time Column
Pivot and Unpivot columns
Customn columns
Conditional columns
Data Modeling and Relationships:
Business Intelligence Concepts
Dimension and Fact Tables
Creating a Data Model
Creating Relationships
Create calendar dimension
Creating Measures in a KPI Table
Using lookup data
Exploring Objects:
Working with Tables and Matrix
Working with Cards
Working with Pie Charts and TreeMap
Working with Bar Chart and Line Chart
Filters and Interactions:
Working with Filter and Interactions between objects
Creating Visualizations:
Layout Creation
Themes and Layout Creation:
Using Themes