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
DAX Formula Patterns
Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday
Learning
Paths
Path

Power BI Optimization Expert
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.
Intermediate
29 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
Path

Advanced DAX for Power BI
This Learning Path provides a deep dive into Power BI and DAX, focusing on data analysis techniques and visualization. It equips learners with skills to craft dynamic visualizations.
Intermediate
5 Hours
Path

SQL Fundamentals: Getting Started with Database Querying
This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying.
Intermediate
4 Hours
Path

Applied Statistics for Data Analysis
This Learning Path in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions.
Intermediate
6 Hours
Path

Intermediate DAX Concepts for Power BI
This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.
Intermediate
12 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

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
Learning
Center
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

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

DAX Studio For Power BI & SAAS - Beginner To Advanced
Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS
Beginner
4 Hours
Course

Advanced Analytics In Power BI
Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way
Advanced
1 Hours
Course

Optimizing DAX
Master key data modeling and DAX concepts and techniques to optimize performance in Power BI
Advanced
4 Hours
Course

Accessing Data via APIs in Power BI
Expand Power BI's capabilities in accessing a wide range of data using APIs
Intermediate
2 Hours
Course

Data Transformation with Synapse & Power BI (DP-500 I)
The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification
Advanced
8 Hours
Virtual
Events
Virtual Event

Advanced Data Storytelling Features In Power BI
Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming
00:54:40 Hours
Virtual Event

Parameters from Regular Excel to Power BI
The session include function Let and how to declare and using parameters in Power Query and DAX
00:51:49 Hours
Virtual Event

Implementation Best Practices For Power BI
Relationship best practices in Power BI
00:54:35 Hours
Virtual Event

Power Query Route To M(astery): Challenge Yourself!
Illustrate key techniques in Power Query/M by working through the Challenges
01:14:41 Hours
Virtual Event

Enhanced Data Storytelling
Data story telling is an important part of the report development process. It changes the way the audience views reports.
00:55:33 Hours
Virtual Event

Banking Analytics with Power BI
Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way
00:44:05 Hours
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
Project
Center
Challenge

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

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

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

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

Twitter Threads Analysis
Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.
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.