Visualization for Data Analysis with Power BI
Learn advanced data visualization techniques with Power BI to analyze trends, discover insights, and create compelling reports for informed business decisions.
Learn advanced data visualization techniques with Power BI to analyze trends, discover insights, and create compelling reports for informed business decisions.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Microsoft Data Visualization Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Explain different analysis methods and their appropriate business applications
Analyze data through powerful visualizations in Power BI using various methodologies
Leverage AI capabilities to explore data and uncover meaningful insights
Conduct correlation and exploratory data analyses to solve business problems
Develop advanced statistical analyses including cluster and cohort analysis
Create time intelligence functions and perform time series analysis for forecasting
Skills you'll gain
This course includes:
22 Hours PreRecorded video
27 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course provides in-depth instruction on analytical techniques and effective data visualization using Power BI. Students begin with statistical analysis fundamentals, including correlation and exploratory data analysis, while learning to understand business problems in context. The curriculum progresses to advanced statistical methods such as cluster analysis, cohort analysis, and geospatial data visualization. Business intelligence concepts are covered extensively, including building time intelligence functions, conducting time series analysis, and leveraging AI-driven tools like key influencers and decomposition trees. With a strong emphasis on practical application, the course culminates in a hands-on final project that allows students to synthesize their skills in a real-world scenario, making data-driven decision-making clear and impactful for organizations.
Statistical analysis fundamentals
Module 1 · 7 Hours to complete
Advanced statistical analysis
Module 2 · 5 Hours to complete
Business intelligence through statistical analysis
Module 3 · 6 Hours to complete
Final project and assessment: Visualization for Data Analysis with Power BI
Module 4 · 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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