Enterprise DNA Skills
Advanced Analytics
Use complex and sophisticated analytical techniques to uncover deep insights and make highly accurate predictions or recommendations.
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Paid Course
R For Power BI Users
Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language
Learning
Paths
Path

Business Intelligence with Power BI
This Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!
Intermediate
10 Hours
Path

Data Strategy Expert
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.
Beginner
10 Hours
Path

Power BI Mastery
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.
Intermediate
31 Hours
Path

Data Analytics Generalist
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.
Beginner
16 Hours
Path

Power BI Data Analyst
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).
Beginner
41 Hours
Path

Data Modeling in Power BI
This Learning Path offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.
Intermediate
6 Hours
Path

DP-500 Certification
This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying.
Intermediate
15 Hours
Path

Power BI for Data Science: From Data to Insights
This Learning Path delves into data analysis and visualization using both R and Python, covering data cleaning, data frames, and the use of packages like dplyr, tidyverse, skim R, and seaborn. It offers hands-on examples, such as creating various plots, performing group-based operations, and utilizing descriptive statistics for effective data interpretation.
Intermediate
16 Hours
Learning
Center
Course

R For Power BI Users
Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language
Beginner
3 Hours
Course

DAX Formula Patterns
Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday
Intermediate
3 Hours
Course

Python II for Power BI Users
Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods
Intermediate
5 Hours
Course

Data Governance with Synapse & Power BI (DP-500 II)
The second part of the preparation course for the Microsoft's DP-500 Exam Certification
Advanced
6 Hours
Course

Tabular Editor 3: Beginner To Advanced
Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services
Advanced
3 Hours
Course

Introduction to Statistics for Data Analysts
A practical guide to recognizing, understanding, and managing uncertainty in data
Intermediate
2 Hours
Course

DAX Optimization Masterclass Using DAX Studio
Improve the overall performance of your DAX measures using the DAX Studio
Intermediate
6 Hours
Course

Mastering DAX Calculations
Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI
Intermediate
9 Hours
Virtual
Events
Virtual Event

Scenario Analytics Insights
Discovering unique and valuable insights and solve advanced analytical questions using Power BI
00:57:31 Hours
Virtual Event

Reporting & Data Visualization Summit
Join This FREE Live Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...
30:48:44 Hours
Virtual Event

Learn to Become a Power BI Super User
Learn the best practices for transforming data in the query editor
01:04:38 Hours
Virtual Event

Power BI Accelerator Week #1 Solution/Q&A Session
Expert walk-through of week #1 solution with Sam McKay and Brian Julius
00:56:24 Hours
Virtual Event

Azure ML In Power BI
An overview on Azure ML and how to incorporate it with Power BI
00:55:53 Hours
Virtual Event

DAX Accelerator - June 2022
Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI
08:16:57 Hours
Virtual Event

R and Python in Power BI
This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI
00:56:29 Hours
Virtual Event

Presentation is Everything!
What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.
01:03:04 Hours
Project
Center
Challenge

Formula 1 Analysis
Deep dive into the world of F1 and create an analysis of the drivers' stats
Challenge

Covid 19 Reporting
An excellent opportunity for you to create a one-page data report for Covid-19 analysis
Challenge

Sport - Football/Soccer Players Summer Transfers Season 2022-23
Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23
Challenge

Challenge

Environmental Data Reporting
Create an analysis report on environmental data and potentially impact how this data is visualized and recorded
Challenge

Health & Substance Abuse Report Analysis
Challenge your data skills in creating an analysis report on substance
Challenge

Timesheet Utilisation Reporting
Take a deep dive into the world of utilisation and timesheet data
Challenge

Transport and Shipping Data
Challenge your data skills by creating a report on transport and shipping data
Guides
Resource

Excel Formulas Cheat Sheet: Advanced Guide
This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.









