This course provides in-depth knowledge of analytical techniques and effective data visualization using Power BI. You will begin with statistical analysis fundamentals, master correlation, and exploratory data analysis, and understand business problems.
Visualization for Data Analysis with Power BI
Visualization for Data Analysis with Power BI
This course is part of Microsoft Data Visualization Professional Certificate
Instructor: Microsoft
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
23 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
27 assignments
Taught in English
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This course is part of the Microsoft Data Visualization Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
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There are 4 modules in this course
This module introduces the foundational concepts of statistical analysis in Power BI. You will explore the importance of understanding business problems and how to conduct correlation and exploratory data analyses. The module covers key techniques like grouping, binning data, and using Power BI visualizations to derive insights. By the end, you will have a solid grasp of basic statistical methods and their applications in business contexts.
What's included
13 videos17 readings9 assignments
In this module, you will explore advanced statistical techniques, including cluster, cohort, and geospatial analyses. The focus is on applying these methods in Power BI to uncover patterns, trends, and outliers within data. You will also explore the creation and optimization of complex visualizations, such as scatter charts and maps, enhancing your ability to conduct detailed and insightful analyses for informed decision-making.
What's included
9 videos8 readings7 assignments
This module focuses on leveraging statistical analysis for business intelligence, with an emphasis on time intelligence functions, time series analysis, and AI-driven insights. You will explore how to use DAX for summarization and comparison over time, as well as how to apply key influencers and decomposition trees to identify root causes in business scenarios. The module equips you with advanced tools to analyze and forecast business data effectively.
What's included
12 videos12 readings9 assignments
The final course project synthesizes the skills and knowledge acquired throughout the course. You will apply your expertise to a real-world business scenario, using Power BI to conduct an opportunity analysis. This hands-on project challenges you to demonstrate your ability to integrate various analytical techniques and create impactful data visualizations that drive business insights and decision-making. The module also includes reflection on the course content and guidance on next steps for further learning.
What's included
1 video6 readings2 assignments1 plugin
Recommended if you're interested in Data Analysis
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Frequently asked questions
This Professional Certificate is designed for aspiring junior data scientists who want to kickstart their careers in the business intelligence industry. It is also for current professionals who are seeking a greater understanding of data visualization fundamentals.
This program is for you:
- If you are interested in the field of data analytics and visualization or are just beginning to work in a junior data analyst role.
- If you want to switch or start a career in the field of data analytics and visualization.
- If you already work in data analytics and are seeking a greater understanding of data visualization fundamentals. Earning a Microsoft Data Visualization certificate can help you advance your career or address gaps in your knowledge, skills, and abilities.
This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones.
It typically takes 5 to 6 months to complete the 5 courses. But some learners may go through the content faster.