Power BI

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

Build a solid foundation in using Power BI.

Acquire an extensive knowledge and understanding of the Power Query and M language to help you easily transform your data from multiple sources into Power BI

The second part of the preparation course for the Microsoft's DP-500 Exam Certification

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

Expand your Power BI report by integrating it with Power Platform applications to incorporate capabilities above and beyond just reporting on insights.

Ace the Microsoft Power Platform (PL-900) Certification exam with our complete training guide

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

Learn how to transfer your knowledge of SQL to DAX and vice versa

Advanced visualization tips and tricks for Power BI to make compelling analysis stand out

This path is designed to help you harness the full power of Power BI in combination with R and Python. You will learn how to conduct advanced statistical analyses, text and sentiment analysis, leverage machine learning techniques, and other key methods commonly used to gain insight into complex business questions.

This path is focused on developing expert level skills in data cleaning, data transformation and data modeling. You will learn to maximize the capabilities of the Power Query UI, and also write M code for both single use solutions and to build custom functions to speed the processing of recurring tasks.

This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to make the most of native Power BI visuals, skillfully utilize the best AppSource visuals, and create advanced custom visualizations using bespoke visualization languages including Deneb/Vega-lite, HTML/CSS, and ggplot2.

This path is designed to help you build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

This path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. You will also gain the expert level knowledge to pass the full Microsoft Power Platform certification series

This path is the most in-depth and rigorous on the list, designed to provide you expert-level skills in all of the key pillars of Power BI. You will gain the knowledge necessary to achieve Enterprise DNA Expert Certification and potentially become a member of the Enterprise DNA Expert Team.

This path is designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

This path will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI, tuning your M code for peak performance, and identifying and resolving performance bottlenecks in your DAX code.

Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It enables an organization to analyze and understand its data in a meaningful way.

Exam PL-300: Microsoft Power BI Data Analyst - Practice Set #1

Exam PL-300: Microsoft Power BI Data Analyst - Practice Set #2

Sam McKay talks to Paul Lucassen, one of our Enterprise DNA experts, about the role of geospatial data analytics in the transportation and logistics industry

Sam McKay talks to Brian Julius on how to integrate data culture in one’s own organization. Brian is an Enterprise DNA expert who has a thriving career as a project management lead for Power Platforms in the public sector, where he uses data to improve government processes.

Join Sam McKay and Anuj Kapoor as they talk about how data analytics is helping the healthcare industry save lives. Anuj also discusses the importance of establishing a problem statement and having quality data to work with

Listen as Sam McKay talks to Shiv Misra on why companies need to have an appetite for change and embrace data analytics

Listen as Jarrett Moore talks to Sam McKay on how he scaled a data analytics system for his own company and built a separate data product on top of it

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

Learn how to create your own interactive infographics, and combine your data with images, icons and animations to bring it to life

Analyze product sales for upsell opportunities

Learn how to build external tools for Power BI. The highlights of what you need to do, what you need to be thinking about in terms of creating an external tool for Power BI

Problem of the Week gives you real-world DAX and Power Query scenarios that will challenge your analytical skills.

Explore possibilities for supercharging Power BI with R’s modeling and visualization capabilities.

Learn how to use the Dataverse, Power Apps, Power Automate in Power BI

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

Showcase the best practice techniques how the winning entry was built.

Why No-Code and Standardized Visualizations are the Future in Data Analytics and Visualizations

Sales analysis for FMCG business selling throughout the US. Drill into sales performance of each region or state. Watch key sales metrics as they happen and look for emerging trends in the performance of products or customers.

Compare Sales vs Engagement. Determine how your marketing strategy impacts your sales.

Showcase how many days it takes fora purchased item get to invoiceor receipt stage.

Choose the warehouse where to source your products by identifying each warehouse' location and distance fromwhere the store is located.

Understand the correlation between sales and customer engagement with your email marketing strategy.

Evaluate how individual employees react to each consultation and the trends for each interviewer.

Track the open, in progress, and new complaints reported by your customers. Make sure they are addressed to keep them satisfied.