課程資料
課程簡介
Knowledge Required to Get You Up to Speed in Power BI and PL-300 Practice Questions
This is a beginner and intermediate course for Data Analysis using Microsoft Power BI. Beginners would not need to wait for days or months of learning before they could acquire data analysis skills using Microsoft Power BI.
The students would be able to get the general overview of Data Analysis, the roles in Data and specifically what Data Analysts do. Hence, they would be able to relate how Power BI is a very resourceful business intelligence tool to employ in Data Analysis.
Students do not need any prior knowledge or technical skills to really jump into Data Analysis career or start using Power BI. This course could would really bridge that gap of no prior knowledge or experience.
This would also help those aspiring or preparing for PL-300 Microsoft Data Analysis certification have access over reliable 200 practice questions for the exam (certification).
Students can also follow through a simulated scenario of building reports for organization and the various steps to follow to achieve that. Students will learn how they can publish and share their reports so that report consumers can access the reports, gain insights and make informed decisions.
An assignment is also shared at the end of the course for student to have some private hands on practice.
課程章節
- 10 個章節
- 35 堂課
- 第 1 章 Introduction
- 第 2 章 Discover Data Analysis
- 第 3 章 Getting Started with Power BI
- 第 4 章 Get Data in Power BI
- 第 5 章 Clean, Transform and Load Data in Power BI
- 第 6 章 Data Modelling in Power BI
- 第 7 章 Report Design and Filtering
- 第 8 章 Measures and Calculated Columns
- 第 9 章 Getting Started with DAX
- 第 10 章 Project - Building Sales Report and Assignment
課程內容
- Learn Power BI Data Analysis from Scratch
- Microsoft Power BI Business Intelligence made Simple
- Help Businesses make Informed Decisions with Power BI Dashboard
- Practice Questions for PL-300 Certification Exam -Becoming Microsoft Power BI Data Analyst Certified
此課程所涵蓋的技能
評價
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NNavaid Perwaze
more examples like how to transform data.
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AAmbika Kobayashi Krishnapillai
Well explained and correctly paced.
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FFolarin Famakinwa
Amazing
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RRossiny Beaugé
great course