Explore Power BI Desktop World! [Basics+2022]

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    2.00
  • Instructor
    Sama Tamhidi
Next Course
4.5
2 Ratings
Discover the power of Power BI Desktop and unlock the potential of data analysis and reporting. Learn the basics and explore the latest features for 2022.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Step into creative, data analyzing & reporting


What you'll learn:

Power Bi Steps
Get Data
Transform Data
Use Dax
Model the Data
Visualize the Data
Publish the Data

Explore Power BI World with illustrated, visualized, and well-framed Course.
In this
Trip
which we start
Together
you will learn the steps of Power BI, first we Get the Data then Transform it, model the data and use dax finally visualise then publish the report:
What you learn
This course teaches you to create well-designed Power BI dashboards.
You will be familiar with essential Power Bi steps, use Dax, transforming data, modeling and linking two data, create a unique report, and Publish it.
Power Bi Steps:
· Get Data
· Transform the Data
· Model the Data (Link Data)
· Visualize The Data
· Update the Data
· Use Dax in Power BI (dax or it is called Measure in Power BI)
· Create a Unique Report
· Publish the Report
(this happens with PDF Format, but for publishing for a range of people we need to sign in to Power BI Cloud (pro) with Microsoft Account)
In this course, we tried to simplify the way of learning by using the most important knowledge you need to run a report, after that with high-quality videos and act of needs to present the data or even Analyse the data.
>
We would be happy to see you on this Trip.
What you learn
This course teaches you to create well-designed Power BI dashboards.
You will be familiar with essential Power Bi steps, use Dax, transforming data, modeling and linking two data, create a unique report, and Publish it.
Power Bi Steps:
· Get Data
· Transform the Data
· Model the Data (Link Data)
· Visualize The Data
· Update the Data
· Use Dax in Power BI (dax or it is called Measure in Power BI)
· Create a Unique Report
· Publish the Report
(this happens with PDF Format, but for publishing for a range of people we need to sign in to Power BI Cloud (pro) with Microsoft Account)
In this course, we tried to simplify the way of learning by using the most important knowledge you need to run a report, after that with high-quality videos and act of needs to present the data or even Analyse the data.
>
We would be happy to see you on this Trip.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
Welcome to Explore Power BI Desktop World! This course is designed to help you understand the basics of Power BI Desktop and how to use it to create powerful data visualizations. You will learn how to get data, transform it, use DAX, model the data, visualize the data, and publish the report. You will also learn how to create a unique report and publish it to the Power BI Cloud (Pro).

Possible Development Directions:
This course is designed to help you understand the basics of Power BI Desktop and how to use it to create powerful data visualizations. You will learn how to get data, transform it, use DAX, model the data, visualize the data, and publish the report. You will also learn how to create a unique report and publish it to the Power BI Cloud (Pro). With this knowledge, you can develop your skills further by exploring more advanced topics such as data analysis, data mining, and machine learning.

Related Learning Suggestions:
To further develop your skills in Power BI Desktop, you can explore more advanced topics such as data analysis, data mining, and machine learning. You can also look into other related topics such as data visualization, data storytelling, and data engineering. Additionally, you can look into other software tools such as Tableau, Qlik, and Microsoft Excel to gain a better understanding of data analysis and visualization.

[Applications]
Upon completion of the course, participants will be able to apply the knowledge they have gained to create well-designed Power BI dashboards. They will be familiar with the essential Power BI steps, such as getting data, transforming data, modeling data, visualizing data, updating data, using Dax, creating a unique report, and publishing the report. Participants will also be able to use high-quality videos and act of needs to present and analyze data.

[Career Paths]
Three job positions recommended to learners of this course are:

1. Power BI Developer: Power BI Developers are responsible for designing, developing, and deploying Power BI solutions. They must have a strong understanding of data analysis, data visualization, and data modeling. They must also be able to create reports and dashboards that are visually appealing and easy to understand. As the demand for Power BI solutions continues to grow, the need for experienced Power BI Developers is expected to increase.

2. Business Intelligence Analyst: Business Intelligence Analysts are responsible for analyzing data and providing insights to help organizations make better decisions. They must have a strong understanding of data analysis, data visualization, and data modeling. They must also be able to create reports and dashboards that are visually appealing and easy to understand. As the demand for data-driven insights continues to grow, the need for experienced Business Intelligence Analysts is expected to increase.

3. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and providing insights to help organizations make better decisions. They must have a strong understanding of data analysis, data visualization, and data modeling. They must also be able to create reports and dashboards that are visually appealing and easy to understand. As the demand for data-driven insights continues to grow, the need for experienced Data Scientists is expected to increase.

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Pros & Cons
  • Good for beginners
  • Key knowledge provided
  • Well explained with examples
  • Confident booster for a beginner
  • Amazing tutorial on Power BI
  • Understand easily
  • Elaborate more for beginners
  • Too much repetition
  • General talk too long
  • Bullying to sell course
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