Power BI for Data Science and Analytics from Coursera

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.

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.

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Power bi: advanced data science & analytics

According to students, this course offers a comprehensive and practical deep dive into Power BI for data science and analytics, particularly excelling in its coverage of advanced AI features, dataflows, and cognitive analytics. Learners highly value the hands-on labs and real-world case studies, finding the content immediately applicable to their professional roles. The instructor's explanations are often clear and knowledgeable, making complex topics accessible. However, some learners with limited or no prior Power BI experience found the course challenging for true beginners despite the description suggesting otherwise, indicating it might be better suited for those with a foundational understanding. A few also noted that certain topics, like M Functions, could benefit from greater depth.

Instructor delivers clear and concise explanations.

"The instructor explained complex topics clearly."

"The instructor was knowledgeable."

"The explanations for dataflows and AI features were clear and concise."

Emphasizes practical, real-world application with hands-on activities.

"The hands-on labs really solidified my understanding."

"I appreciated the practical examples and the section on dataflows."

"The visualizations module was very helpful for creating impactful dashboards."

"It definitely helped me understand how to leverage Power BI for analytics in my job."

Covers cutting-edge AI and cognitive analytics in Power BI.

"The AI features module was particularly insightful and the hands-on labs really solidified my understanding."

"The AI and cognitive analytics sections opened up new possibilities. Practical and immediately applicable skills."

"I found the text and image analytics very useful. Improved my understanding of advanced features."

"I gained a lot of confidence in using Power BI for complex data analysis. The explanations for dataflows and AI features were clear and concise."

Some advanced topics could benefit from more in-depth explanations.

"My only minor critique is that some parts felt a bit rushed, and I wished for more in-depth M Function examples."

"Some topics could benefit from more detailed explanations."

"It touches on many advanced Power BI features but doesn't always go deep enough. For instance, the M Functions module felt rushed."

Challenging for true beginners, some Power BI experience is beneficial.

"The course has good content, but it assumes some prior Power BI knowledge, despite what the description says. As a beginner, I found myself struggling..."

"Disappointed. The course states 'prior experience... beneficial but not essential', but it definitely feels like it's designed for intermediate users."

"I'm a complete beginner, and the explanations were often too high-level. I had to supplement a lot with external resources."

"I think it's better for those who already have a solid foundation and just want an introduction to the AI capabilities."

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

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This activity will help you refresh your understanding of SQL, which is essential for working with data in Power BI.

Browse courses on SQL

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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

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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

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This activity will help you build a personalized knowledge base of resources to support your learning journey in Power BI.

Browse courses on Knowledge Base

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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

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This activity will help you enhance your analytical skills by creating a comprehensive Power BI report that tells a data-driven story.

Browse courses on Data Analysis

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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

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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

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This activity will help you develop your skills in designing and creating interactive Power BI dashboards that effectively communicate insights from data.

Browse courses on Data Visualization

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Business Intelligence Developer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Visualization Specialist

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Operations Research Analyst

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.

See salaries and explore the career path for Marketing Analyst

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.

See salaries and explore the career path for Product Analyst

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.

See salaries and explore the career path for Risk Analyst

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.

See salaries and explore the career path for Quantitative Analyst