Instructors: Bluelime Learning Solutions
2 sections • 26 lectures • 1h 47m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 8/2022 | Size: 505 MB

Use data analytics to tell compelling stories through reports and dashboards.
What you'll learn
Learn about various roles in data
Learn about the various tasks of a data analyst
Connect to data
Transform data
Model data
Visualize data
Publish reports to Power BI Service
Build dashboards
Collaborate and share reports
Update data in the Power BI Service
Requirements
No prerequisites required.
Description
Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.
As a data analyst, you are on a journey. Think about all the data that is being generated each day and that is available in an organization, from transactional data in a traditional database, telemetry data from services that you use, to signals that you get from different areas like social media.
Before data can be used to tell a story, it must be run through a process that makes it usable in the story. Data analysis is the process of identifying, cleaning, transforming, and modeling data to discover meaningful and useful information. The data is then crafted into a story through reports for analysis to support the critical decision-making process.
As the world becomes more data-driven, storytelling through data analysis is becoming a vital component and aspect of large and small businesses. It is the reason that organizations continue to hire data analysts.
Data-driven businesses make decisions based on the story that their data tells, and in today's data-driven world, data is not being used to its full potential, a challenge that most businesses face. Data analysis is, and should be, a critical aspect of all organizations to help determine the impact to their business, including evaluating customer sentiment, performing market and product research, and identifying trends or other data insights.
Who this course is for:Beginners to Microsoft Data Analytics
Homepage
Screenshots