Learn data analysis fundamentals using Microsoft Power BI to transform raw data into valuable insights and drive data-based business decisions.
Learn data analysis fundamentals using Microsoft Power BI to transform raw data into valuable insights and drive data-based business decisions.
This beginner-friendly course introduces you to the fundamentals of data analysis using Microsoft Power BI. You'll learn how data is produced and gathered in businesses, and understand the role of data in creating data-driven decisions that lead to successful business outcomes. The course outlines the key stages in the data analysis process, with a focus on applying them using Microsoft Power BI. You'll discover the essential skills needed by a Power BI analyst and the tools they use, including data collection, data sources, and the ETL (Extract, Transform, Load) process. Through hands-on exercises and projects, you'll learn to evaluate data for analysis, use Power Query for data transformation, and generate visualizations that provide valuable business insights. By the end of the course, you'll understand how to harness the power of data using Power BI and be ready to apply these skills in real-world business scenarios.
Instructors:
English
Video subtitles available
What you'll learn
Understand how data is gathered and used in business environments
Identify the key stages in the data analysis process
Recognize the skills and tools used by Power BI data analysts
Apply the ETL (Extract, Transform, Load) process for data preparation
Use Power Query to transform and clean data
Create data visualizations in Power BI
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This course provides a comprehensive introduction to data analysis with Microsoft Power BI. Students begin by exploring the role of a data analyst and understanding how data drives business decisions. The curriculum covers the entire data analysis process, from identifying and collecting the right data to transforming and analyzing it using Power BI. Students learn about data storage, the ETL (Extract, Transform, Load) process, and how to evaluate data for analysis. The course emphasizes practical skills through hands-on exercises, including generating visualizations and working with Power Query for data transformation. The final module includes a product launch analysis project that allows students to apply their knowledge in a real-world business scenario. Throughout the course, students develop the fundamental skills needed to work as a Power BI data analyst, preparing them to create compelling reports and dashboards that provide valuable insights for data-driven decision making.
Data analysis in business
Module 1 · 6 Hours to complete
The right tools for the job
Module 2 · 5 Hours to complete
Final project and assessment: Harnessing the power of data in Power BI
Module 3 · 3 Hours to complete
Fee Structure
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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Frequently asked questions
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