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Jim Kay
Have you ever wanted to provide a simple, self-service way for data consumers to query your data? What if they could just type a question or even just speak their question and have a useful chart or report 'magically' appear with the answer? In this course,...
Read more
Have you ever wanted to provide a simple, self-service way for data consumers to query your data? What if they could just type a question or even just speak their question and have a useful chart or report 'magically' appear with the answer? In this course,...
Read more
Have you ever wanted to provide a simple, self-service way for data consumers to query your data? What if they could just type a question or even just speak their question and have a useful chart or report 'magically' appear with the answer? In this course, Effective Quick Insights and Q&A in Power BI, you will gain the ability to optimize your Power BI datasets so that they will work seamlessly with the powerful Q&A and Quick Insights features. First, you will learn what these features are capable of doing when applied to a 'tidy and polished' dataset. Next, you will discover how to optimize your datasets so they will support these features. Finally, you will explore how to extend the Q&A feature to work with data stored not in the cloud, but inside your own on-premises data center. When you're finished with this course, you will have the skills and knowledge of data modeling needed to supercharge your Power BI datasets using both Q&A and Quick Insights.
Register for this course and see more details by visiting:
OpenCourser.com/course/tg57j2/effective
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possible dealbreakers
Ideal for data analysts and business intelligence professionals seeking to enhance their Power BI skills
Provides valuable insights into optimizing datasets for seamless integration with Q&A and Quick Insights features
Covers essential concepts and techniques for extending Q&A functionality to on-premises data
Requires prior understanding of Power BI and data modeling concepts
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Career center
Learners who complete Effective Quick Insights and Q&A in Power BI will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers build and maintain the data pipelines that move data from various sources into a usable format. They ensure that data is clean, consistent, and accessible for analysis. Knowledge of data modeling and optimization, as taught in this course, can help aspiring Data Engineers succeed in their role.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to understand business trends and make informed decisions. They work with data from a variety of sources to create reports, visualizations, and dashboards. This course can help aspiring Business Intelligence Analysts learn how to optimize data modeling and reporting to provide effective insights.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to communicate insights and trends. They use various tools and techniques to transform raw data into easy-to-understand visualizations. This course can provide valuable skills for those looking to become Data Visualization Specialists, as it focuses on optimizing data for effective visual presentations.
Data Analyst
Data Analyst
Data Analysts use data to solve problems and drive business decisions. They collect, clean, and analyze data to identify trends and patterns. By discovering these insights from data, they become valuable assets to companies looking to improve their operations. This course may be useful for those pursuing a role as a Data Analyst, as it provides a foundation in data modeling and working with Q&A and Quick Insights in Power BI.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts (Quants) use mathematical and statistical models to analyze financial data. They develop and implement trading strategies and risk management systems. This course may be useful for those looking to become Quantitative Analysts, as it provides a foundation in data modeling and optimization techniques.
Web Analyst
Web Analyst
Web Analysts analyze website traffic and user behavior to improve website performance and user experience. They use data to identify trends and patterns and develop strategies to optimize website content and functionality. This course can provide aspiring Web Analysts with a foundation in data modeling and optimization, enabling them to effectively analyze and interpret website data.
Data Architect
Data Architect
Data Architects design and manage the data infrastructure that supports an organization's data needs. They work with a variety of data sources and technologies to ensure data is accessible, reliable, and secure. This course can provide a valuable foundation for those seeking to become Data Architects, as it covers data modeling and optimization techniques.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand consumer behavior and market trends. They develop and implement marketing strategies to reach target audiences and achieve business goals. This course can help aspiring Marketing Analysts learn how to optimize data modeling for effective market analysis and campaign optimization.
Information Architect
Information Architect
Information Architects design and manage the organization and retrieval of information within an organization. They work with stakeholders to understand information needs and develop strategies for accessing and managing data. This course can provide a valuable foundation for those seeking to become Information Architects, as it covers data modeling and optimization for effective information management.
Research Analyst
Research Analyst
Research Analysts conduct research and analysis on various topics, such as markets, industries, or companies. They use data to identify trends and patterns and provide insights to clients. This course can provide aspiring Research Analysts with a valuable foundation in data modeling and optimization, enabling them to effectively analyze and interpret data.
Systems Analyst
Systems Analyst
Systems Analysts analyze and design computer systems to meet business needs. They work with stakeholders to understand requirements and develop solutions that improve efficiency and productivity. This course can provide aspiring Systems Analysts with a foundation in data modeling and optimization, enabling them to effectively analyze and design systems.
Database Administrator
Database Administrator
Database Administrators (DBAs) manage and maintain databases to ensure data integrity and performance. They work with a variety of database management systems to optimize data storage and access. This course may be helpful for aspiring DBAs, as it covers data modeling and optimization techniques.
Data Scientist
Data Scientist
Data Scientists develop and implement algorithms and statistical models to extract meaningful insights from data. They use machine learning and artificial intelligence techniques to solve complex problems and discover valuable patterns. Familiarity with data modeling and optimization, as taught in this course, can be a valuable asset for Data Scientists.
Product Manager
Product Manager
Product Managers lead the development and launch of products. They work with a variety of teams, including engineering, design, and marketing, to ensure products meet customer needs and business objectives. Familiarity with data modeling and optimization, as taught in this course, can be a valuable asset for Product Managers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies to create software solutions that meet user needs. This course may be helpful for those seeking to become Software Engineers, as it covers data modeling and optimization techniques applicable to software development.
For more career information including salaries, visit:
OpenCourser.com/course/tg57j2/effective
Reading list
We've selected six 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
Effective Quick Insights and Q&A in Power BI.
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Focuses on data modeling techniques for Power BI, covering topics like star schemas, snowflake schemas, and data normalization. It provides guidance on creating efficient and scalable data models that support effective Q&A and Quick Insights.
Offers a collection of practical recipes and solutions for common challenges encountered when working with Power BI. It provides step-by-step instructions and code examples for tasks related to data modeling, visualization, reporting, and automation.
Provides a comprehensive overview of Power BI, covering advanced topics such as data connectivity, data modeling, DAX, visualizations, and reporting. It offers practical guidance and insights from industry experts.
Offers a practical introduction to Power BI, focusing on data modeling, data visualization, and report creation. It provides step-by-step instructions and examples, making it easy for users to get started with the tool.
Offers a comprehensive reference guide to Power BI, covering a wide range of topics related to data modeling, visualization, reporting, and advanced analytics. It serves as a valuable resource for users of all levels.
Provides a comprehensive guide to Power BI, covering topics such as data modeling, visualization, and reporting. It offers a step-by-step approach, making it suitable for both beginners and experienced users.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tg57j2/effective
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Time
3 hours
Via
Pluralsight
Instructor
Jim Kay
This course belongs to a
collection
called
Microsoft Power BI for Analysts. It's comprised of 13 courses:
- Building Your First Power BI Report
- Power BI Data Import Playbook
- Power BI Data Preparation Playbook
- Modeling Data in Power BI
- Getting Started with DAX Formulas in Power BI, Power Pivot, and SSAS
- Effective Reporting with Power BI
- Creating Dashboards with Power BI
- Deploying and Publishing Power BI Reports
- Effective Quick Insights and Q&A in Power BI (viewing)
- Querying and Shaping Data in Power BI Using M
- Leveraging Timely On-premises Data with Power BI
- Power BI Playbook: Securing Shared Data with Power BI
- Common DAX Expressions and Scenarios Power BI Playbook
Good to know
Ideal for data analysts and business intelligence professionals seeking to enhance their Power BI skills
Provides valuable insights into optimizing datasets for seamless integration with Q&A and Quick Insights features
Covers essential concepts and techniques for extending Q&A functionality to on-premises data
Requires prior understanding of Power BI and data modeling concepts
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