Advanced Analytics with Power BI
This course is part of Applied Data Analytics.
This comprehensive course focuses on developing advanced analytics skills using Microsoft Power BI. Students will learn to connect to diverse data sources, transform and model data effectively, and create compelling visualizations and interactive dashboards. The curriculum covers data modeling techniques, advanced DAX formulas for complex calculations, and best practices for designing professional reports. Participants will gain hands-on experience with Power BI Desktop for analysis and visualization, while also learning to leverage Power BI Service features for collaboration and publishing. The course emphasizes practical applications across various industries, teaching students how to extract meaningful insights and create data-driven stories that support decision-making. Special attention is given to AI-powered analytics features, performance optimization, and implementing effective scorecards to track key metrics.
Instructors:
English
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What you'll learn
Analyze diverse data sources in Power BI Desktop to support informed decision-making
Transform and clean data efficiently using Power Query Editor
Create complex calculations and data models using DAX formulas
Develop dynamic reports and dashboards with advanced visualization techniques
Implement effective data relationships to enhance analytical capabilities
Leverage AI features in Power BI for automated insights
Skills you'll gain
This course includes:
4 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
Batch access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course provides comprehensive training in advanced analytics using Microsoft Power BI, structured across four main areas. First, students learn data modeling and transformation techniques, including connecting to multiple data sources, cleaning and shaping data, and establishing relationships. Next, the curriculum covers Data Analysis Expressions (DAX), teaching students to create calculated measures and columns for complex calculations. The third section focuses on visualization techniques, exploring various chart types and best practices for creating effective reports. Finally, students master Power BI Service features for publishing and sharing insights, including AI-powered analytics and scorecard creation. Throughout the course, practical demonstrations and hands-on projects reinforce concepts, preparing participants to apply these skills in real-world business scenarios.
Data Modeling and Transformation
Module 1 · 2 Hours to complete
Data Analysis Expression (DAX) - Formulas and Functions
Module 2 · 2 Hours to complete
Data Visualization
Module 3 · 1 Hours to complete
Power BI Service
Module 4 · 1 Hours to complete
Course Wrap-Up and Assessment
Module 5 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Applied Data Analytics
Instructor
Inspiring the Next Generation of Tech Professionals
Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.
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Frequently asked questions
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