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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.

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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.

Enroll now

What's inside

Syllabus

Data Science and AI with Power BI
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.
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Dataflows and AI Analytics
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.
Advanced Cognitive Analytics
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.
Course Wrap-Up and Assessment
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on the fundamentals of data science and applied AI for business and industry
Suitable for data analysts, business intelligence developers, and business analysts
Requires basic familiarity with MS Excel, Python, and Power BI
Covers advanced cognitive analytics, including text and image analysis
Taught by Edureka, a recognized provider of online learning programs
Offers hands-on labs and interactive materials for practical application

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Power BI for Data Science and Analytics with these activities:
Review SQL Fundamentals
This activity will help you refresh your understanding of SQL, which is essential for working with data in Power BI.
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  • Review basic SQL concepts such as data types, tables, and queries.
  • Practice writing SQL queries to select, filter, and aggregate data.
Explore Power BI Community Forums
This activity will provide you with access to valuable resources and support from the Power BI community to enhance your learning experience.
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  • Join the Power BI community forums.
  • Post questions and participate in discussions.
  • Search for solutions and learn from others' experiences.
Collect Power BI Resources
This activity will help you build a personalized knowledge base of resources to support your learning journey in Power BI.
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  • Search for and bookmark online articles, tutorials, and documentation.
  • Organize resources into a central location.
  • Regularly update and expand your collection.
Three other activities
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Create a Power BI Report
This activity will help you enhance your analytical skills by creating a comprehensive Power BI report that tells a data-driven story.
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  • Define the purpose and scope of the report.
  • Gather and prepare the necessary data.
  • Analyze the data using Power BI features.
  • Develop insights and conclusions.
  • Format and export the report.
Power BI Study Group
This activity will facilitate collaboration and knowledge sharing among learners, enhancing your understanding of Power BI concepts and techniques.
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  • Form a study group with fellow learners.
  • Meet regularly to discuss topics, share insights, and solve problems.
  • Leverage the collective knowledge and experience of the group.
Design a Power BI Dashboard
This activity will help you develop your skills in designing and creating interactive Power BI dashboards that effectively communicate insights from data.
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  • Identify the key metrics and insights to display.
  • Choose appropriate visualizations for each metric.
  • Design the layout and organization of the dashboard.
  • Implement filters, drill-downs, and other interactive features.
  • Publish and share the dashboard.

Career center

Learners who complete Power BI for Data Science and Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you build a strong foundation in Power BI, which is a leading business intelligence tool.
Data Scientist
Data Scientists are responsible for using data to solve business problems. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you build a strong foundation in Power BI, which is a leading business intelligence tool that is often used by Data Scientists.
Business Intelligence Developer
Business Intelligence Developers are responsible for designing and developing business intelligence solutions that help businesses gain insights from their data. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool.
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze machine learning data.
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visualizations that communicate data insights to business users. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques.
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and translating them into technical requirements. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze business data.
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze data engineering data.
Actuary
Actuaries are responsible for assessing and managing financial risks. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze actuarial data.
Product Analyst
Product Analysts are responsible for analyzing product data to identify opportunities for improvement. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques.
Operations Research Analyst
Operations Research Analysts are responsible for using mathematical and analytical techniques to solve business problems. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques.
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze statistical data.
Financial Analyst
Financial Analysts are responsible for analyzing financial data to make investment recommendations. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze financial data.
Marketing Analyst
Marketing Analysts are responsible for analyzing marketing data to measure the effectiveness of marketing campaigns. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze marketing data.
Risk Analyst
Risk Analysts are responsible for identifying and assessing risks to an organization. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course will also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze risk data.
Quantitative Analyst
Quantitative Analysts are responsible for using mathematical and statistical techniques to analyze financial data. The Power BI for Data Science and Analytics course can help you develop the skills you need to be successful in this role, such as data visualization, data modeling, and AI techniques. This course may also help you gain experience with Power BI, which is a leading business intelligence tool that can be used to visualize and analyze quantitative data.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Power BI for Data Science and Analytics.
Provides a comprehensive overview of data science, including foundational concepts, techniques, and applications. Strengthens the understanding of data science principles covered in the course.
Offers a practical guide to data visualization principles and best practices. Strengthens the understanding of visualization techniques covered in the course, providing a broader perspective on effective data communication.
Provides a beginner-friendly introduction to data analysis with Power BI. Covers core concepts and techniques, offering a foundation for the more advanced topics explored in the course.
Provides a comprehensive overview of business intelligence and analytics. Covers foundational concepts, technologies, and applications, offering a broader context for the topics explored in the Power BI-centric course.
Provides a thought-provoking examination of data science ethics and the responsible use of data. Raises critical questions about the implications of data-driven decision-making, complementing the course's focus on technical skills.
Introduces deep learning concepts and techniques using Fastai and PyTorch. While not directly related to Power BI, this book offers a valuable resource for those seeking to expand their knowledge of AI and deep learning.
Serves as a quick reference guide to Power BI Desktop. Provides concise instructions and step-by-step walkthroughs, offering a handy resource for those seeking quick answers or reminders while working with Power BI.

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