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Microsoft Power BI Desktop and DAX plus Dashboard creation

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  • 2,430 Students
  • Updated 1/2025
4.7
(75 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 0 Minute(s)
Language
English
Taught by
Ismaila Mumuni Omeiza
Rating
4.7
(75 Ratings)

Course Overview

Microsoft Power BI Desktop and DAX plus Dashboard creation

Current Edition Power BI Desktop Course. Learn DAX with projects and how to create Reports and Dashboards

Welcome to Power BI Desktop course. This is completely built with lots of Practical that will make you work with any real-Life datasets


Are you a data professional or aspiring analyst looking to learn the top business intelligence platform on the market,

taking this course will build your confidence in data and analytics in general.


Through out the course we will guide you through on how to approach real-life projects.


This is the scenario:

You just got hired as a DATA analyst into a sales and distribution company. Your first task is to use POWER BI to get

insight from the company’s historical data.


Request from your Employer:

Your employer needs you to help them TRACK KPI’s like: Revenue, Returns, Refunds & Profit etc. Create a dashboard that helps them find trend and other useful insights.

They want to identify high profitable Product, Customer and Location etc


You don't need to worry about how to go through this project, we'll be here to walk you through every single step with intuitive, crystal clear explanations and helpful resources you need to get better.


Step 1: Connecting to data and transformation

In this first stage we are going to look at how to get data, get it clean and transformed and load it into Power BI desktop.


We will explore how to append data from csv and further use the advanced way to combine data from csv which is using the folder option to consolidate your yearly, weekly, quarterly or monthly data for easy update.


Step 2: Data modelling or Creating a Relationship

In this stage we will look at how to best connect your data table and the lookup tables together.


Step 3: Adding Calculated Fields with DAX

In this stage things will start to get more interesting. This is the stage you are going to get introduced to Data Analysis

Expressions (DAX) at this stage we will learn how to create calculated columns and measures, explore when to use calculated column and when to avoid it.


Step 4: Visualization (Dashboard)

This final stage is where we bring our data to LIFE with report and dashboard. We will learn the best way to create an outstanding dashboard, create custom tooltips, explore bookmarks and Power BI What-If Parameters.




Course Content

  • 10 section(s)
  • 137 lecture(s)
  • Section 1 Course Projects
  • Section 2 Intro to POWER BI Desktop
  • Section 3 How to Connect and Transform Data in Power Query
  • Section 4 Creating Data Modeling
  • Section 5 04 How to create a Date Table using DAX
  • Section 6 Understand Calculated Column in Power BI
  • Section 7 Understand DAX Measures
  • Section 8 How to use Copilot In Power BI Desktop
  • Section 9 Understand Context Transition
  • Section 10 Simplify DAX with Variables

What You’ll Learn

  • You learn how to use Power BI Desktop for Report and Dashboard creation
  • Transform and clean data using Power Query
  • Data modelling (creating relationships)
  • Write DAX (data analysis expression) from beginner to advanced level
  • Creating interactive Reports
  • Creating interactive Dashboards
  • Write advanced DAX using Variables


Reviews

  • O
    Omayoz
    5.0

    Thanks for this course. I learnt a lot.

  • A
    Aino Ismaila
    5.0

    You are the best brother. I have been following your YouTube channel and it has really helped me. one favor please, Create a course for python dashboard creation.

  • M
    Metuge Metuge Leonel
    5.0

    YOUR EXPLANATIONS ARE ARE RIGHT ON POINT.

  • N
    Naresh Kumar
    5.0

    Really enjoyed taking this course step by step — everything was explained clearly by Ismail. Looking forward to more advanced content like DAX, Data Modeling, and Visualization!

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