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
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.
Learning
Paths
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
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

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

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

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

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 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

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
Learning
Center
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

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

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

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

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

Microsoft Excel for Beginners
Build a strong foundation on your MS Excel skills as you progress to advanced level
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

Let's Merge Queries To Improve Tabular Model
Learn how to combine queries to protect the fact tables in the tabular model
00:36:01 Hours
Virtual Event

The Ultimate Power BI Freestyle Session
Build a comprehensive and compelling Power BI report within an hour from scratch!
01:10:29 Hours
Virtual Event

Track Changes Using Dimensions In Power Query
Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension
00:45:11 Hours
Virtual Event

Increasing Your Development Speed & Productivity In Power BI
Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast
00:57:15 Hours
Virtual Event

Azure AD for the Azure Data Services
In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.
00:55:36 Hours
Virtual Event

Manage Banking Transactions Directly Through Your Excel-VBA model
In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model
00:35:17 Hours
Virtual Event

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

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

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

Financial Report Showcase
Show off your impressive financial report! We are confident that your financial report is a testament to your skills and expertise. We would love to see how you've structured it and how you've made it visually appealing.
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
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
