Enterprise DNA Skills
Business Analytics
Use data analysis and visualization techniques to inform and guide business decision-making, ultimately driving improved performance and profitability.
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Paid Course
Scenario Analysis Deep Dive
Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques
Learning
Paths
Path

Power Platform Expert
This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps.
Intermediate
52 Hours
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

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 Visualization Expert
This path is designed to help you become an expert in data visualization, data storytelling, and report design. You will learn how to create advanced custom visualizations using bespoke visualization languages.
Beginner
25 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 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

Scenario Analysis Deep Dive
Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques
Intermediate
2 Hours
Course

SharePoint Introduction For Power BI Users
Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes
Beginner
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
Course

Dashboarding & Data Visualization Intensive
Learn how to develop complete Power BI solutions that look compelling and deeply engage your consumers in your insights
Advanced
6 Hours
Course

Introduction To The Analyst Hub
This module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.
Intermediate
1 Hours
Course

Ultimate Beginners Guide To DAX
Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models.
Beginner
2 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

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
Virtual
Events
Podcast

The Role Of Geospatial Data In Logistics
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
Virtual Event

Exploring the Power of New Excel Functions
On this session, Cristiano Galvao MVP will cover the impact of recent changes in Excel that unleash the power of formulas.
00:48:01 Hours
Virtual Event

Take Your Analysis To Another Level w/DAX Formula Patterns
Learn advanced scenario analysis techniques and enhance your related distinct counts
01:02:06 Hours
Virtual Event

Power BI Mastermind with Sam McKay & Greg Philps
Join a casual conversation with Sam and the Power BI Challenge Winner, Greg.
01:12:17 Hours
Virtual Event

Project Management Insights w/Power BI
Create effective project management dashboards
00:52:43 Hours
Virtual Event

Use Excel To Build & Validate Complex DAX
Discover how to visualize, debug, validate and solve complex DAX problems using Excel
00:43:34 Hours
Virtual Event

CRM Data Insights
We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.
00:56:40 Hours
Virtual Event

The (M)agic of List.Generate
Incorporate multiple variables within function using List.Generate
00:45:25 Hours
Project
Center
Challenge

Purchases, Inventory And Sales
Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries
Challenge

Challenge

Marketing Analytics - Measuring ROI
Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.
Challenge

Customer Insight
An opportunity to design and build a report that gives insights into customer behavior
Challenge

Global Cost Of Living Crisis
Identify trends and patterns in a variety of factors that influence the cost of living in different regions around the world by using statistical analysis techniques and visualization tools.
Challenge

Challenge

Insurance Complaints
Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure
Challenge

Executive Sales Report
Create a summary report, a task that for many data analysts will always find its way across the desk every so often