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
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
Learning
Paths
Path

Power BI Advanced Analytics Expert
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 analyses and gain insight into complex business questions.
Intermediate
47 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

SQL for Data Analysis and Business Intelligence
This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.
Intermediate
5 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 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

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

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

Data Transformation Expert
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.
Intermediate
13 Hours
Learning
Center
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

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

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

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

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 for SQL Developers
Learn how to transfer your knowledge of SQL to DAX and vice versa
Intermediate
4 Hours
Course

Geospatial Analysis In Power BI
Disclose the unexpected' by expertly incorporating geospatial data into your analyses and visualizations
Intermediate
1 Hours
Course

Report Development Best Practices Checklist
Review some of the best practices to refine your Power BI development skills
Beginner
3 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

Rapid Excel BI Model Development
In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly.
00:51:33 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

Next Level Field Parameters
Learn how to swap or rotate fields around in a visual and how to implement complex slicer interactions using field parameters
00:37:31 Hours
Virtual Event

Power Automate Desktop
Streamline business processes through automation with no code
00:44:48 Hours
Virtual Event

Enterprise Analytics Summit - November 2021
Enterprise DNA Analytics Summit are action packed live events showcasing a variety of beginner to advanced Power BI & Power Platform tips and techniques.
04:53:04 Hours
Virtual Event

Scenario Events Expanded with Power BI
Review discrete events with scenario applied
00:43:11 Hours
Virtual Event

Introduction to Usability Testing
Learn how usability testing can reveal crucial usability information not revealed by A/B testing, focus groups, or surveys
00:46:28 Hours
Project
Center
Challenge

Challenge

Time Intelligence - Highlighting Trends
Showcase a report that compares the trends of two different sets of data over time. The report will specifically highlight any divergences in the trends, allowing the reader to easily see any discrepancies in the data.
Challenge

Optical Data
Provide a business solution by creating an intelligence tool to use by large opticians
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

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

HR Data Insights
Challenge yourself to produce a report which gives HR insight into the consultation process.
Challenge

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