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January 13, 2025
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This course is part of Mastering Power BI for Data Analytics & Storytelling Specialization
Instructor: Edureka
Included with
Recommended experience
Intermediate level
Prior experience with MS Excel, Python, and Power BI operations is beneficial but not mandatory for this course.
Recommended experience
Intermediate level
Prior experience with MS Excel, Python, and Power BI operations is beneficial but not mandatory for this course.
Analyzing Data by using the AI analytical features offered by Power BI
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Welcome to the Power BI for Data Science and Analytics Course. This course helps learners become proficient in utilizing the Power BI tool for data analytics. Leverage important Power BI features to extract more valuable insights from data and visuals. Centralize your data with the help of dataflows for modeling data that can also be used for text and image analytics.
By the end of this course, you’ll be able to: 1. Gain proficiency in utilizing the Power BI tool for effective data analytics 2. Develop skills in creating insightful visualizations to convey meaningful information 3. Comprehend the use of AI features in Power BI to extract valuable insights from data and visuals 4. Demonstrate the ability to centralize data using dataflows for modeling 5. Evaluate the effectiveness of AI features in enhancing data insights within the Power BI environment. 6. Design Scorecards to display KPIs and other important metrics in a concise and understandable format. This course is designed for Data Analysts, Business Intelligence Developers, and Business Analysts seeking to enhance their analytical and design skills. Prior experience with MS Excel, Python, and Power BI operations is beneficial but not essential for this course. Join us on this journey to elevate your Power BI analytical skills and design capabilities.
In this module, you will be able to set an environment for analyzing datasets to apply various algorithms in Power BI. Gain a basic understanding of the importance of Data Science and Analytics. Construct AI-related results on the data to visualize important metrics that deal with anomaly detection, QnA etc.
28 videos5 readings9 assignments1 discussion prompt
In the second week of this course, You will be able to construct dataflows to prepare, transform, and centralize data for consistent and reusable reporting . Manage data such that AI features can be utilized effectively on the designed dataset.
20 videos4 readings10 assignments1 discussion prompt
In the third week of this course, we'll learn about techniques offered by Power BI to analyze text and images to gain insights from the data. Focus on using M Functions to model data according to user preference.
15 videos4 readings7 assignments
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.
1 video1 reading1 assignment1 discussion prompt
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today’s cutting edge technologies.
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The "Power BI for Data Science and Analytics" course provides comprehensive insights into the full potential of AI features offered by the Power BI service. This course is designed to empower learners with the knowledge and skills needed to seamlessly utilize AI-generated reports for analysis and enable efficient data visualization.
This course caters to a diverse audience, embracing those new to the field as Data Scientist, Data Analyst, Business Analyst and Business Intelligence Developer will enhance their skills in Analytics, while BI Developers will gain insights into AI analytical features and visualization.
Yes, Prior working experience with MS Excel, RDBMS (Relational Database Management Systems), Python and Machine Learning is advantageous, offering a valuable foundation for this course. However, it is important to note that possessing proficiency in these tools is not obligatory.
Yes, you will need a Power BI Pro subscription for this course. You can obtain a 60-day trial of Power BI Pro using an onmicrosoft account. This subscription is essential for accessing advanced features, collaborative tools, and sharing reports. Premium features are enabled through workspace settings available in Power BI Pro.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.