Enterprise DNA Skills
Advanced Analytics
Use complex and sophisticated analytical techniques to uncover deep insights and make highly accurate predictions or recommendations.
Start Learning for Free
New to Advanced Analytics?
Start here.

Paid Course
Data Analysis with PandasAI
Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.
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

DAX Fundamentals in Power BI
This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.
Beginner
7 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

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

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

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
Learning
Center
Course

Data Analysis with PandasAI
Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.
Intermediate
1 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

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

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
Course

SQL For Power BI Users
Level up your SQL query fluency even without prior SQL experience.
Beginner
3 Hours
Course

Introduction to Statistics for Data Analysts II
Learn valid inference techniques for two-sample and two-variable data questions.
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

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

Power BI Mastermind with Sam McKay & Brian Julius
Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.
01:17:46 Hours
Virtual Event

The Excel Features & Skills You Need to Automate a Reporting Procedure
In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.
00:54:08 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

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

Power Platform Innovation Labs #2
Learn how to build scalable Power Platform solutions to implement robust business processes from the world's global experts.
08:09:47 Hours
Virtual Event

Key Elements Of Actionable Report
Learn how to create clear and consistent reports in Power BI
01:16:00 Hours
Virtual Event

Zebra BI Tool For Choosing Right Visual
Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart
00:55:39 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
Project
Center
Challenge

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

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

Challenge

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

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

Challenge

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









