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
Python I for Power BI Users
Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality
Learning
Paths
Path

DP-500 Certification
This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying.
Intermediate
15 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

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

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

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

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

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 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
Learning
Center
Course

Python I for Power BI Users
Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality
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

Introduction to Statistics for Data Analysts
A practical guide to recognizing, understanding, and managing uncertainty in data
Intermediate
2 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

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

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

Python II for Power BI Users
Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods
Intermediate
5 Hours
Virtual
Events
Virtual Event

Power BI Accelerator Week #1 Solution/Q&A Session
Expert walk-through of week #1 solution with Sam McKay and Brian Julius
00:56:24 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

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

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

Enterprise Analytics Summit - February 2022
Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.
18:05:06 Hours
Virtual Event

Advanced DAX Concepts To Master In Power BI
Learn beginner to advanced DAX function techniques
01:04:55 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

Advanced Analytics Techniques For Power BI
Learn a range of advanced techniques in Power BI using DAX
01:52:33 Hours
Project
Center
Challenge

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

Challenge

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

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

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

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

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









