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
Optimizing DAX
Master key data modeling and DAX concepts and techniques to optimize performance in Power BI
Learning
Paths
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

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

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

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

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

Visual Storytelling with Power BI
This Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.
Intermediate
5 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

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
Learning
Center
Course

Optimizing DAX
Master key data modeling and DAX concepts and techniques to optimize performance in Power BI
Advanced
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

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

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

R for Power BI Users II
Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.
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

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

R For Power BI Users
Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language
Beginner
3 Hours
Virtual
Events
Virtual Event

Discovering Advanced Insights w/Power BI
Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way
00:51:25 Hours
Virtual Event

R and Python in Power BI
This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI
00:56:29 Hours
Virtual Event

Pivot Table Tips and Tricks
Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.
01:03:10 Hours
Virtual Event

DAX Accelerator - June 2022
Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI
08:16:57 Hours
Virtual Event

Excel Features that are HOT but Dangerous!
Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.
00:56:39 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

Reporting & Data Visualization Summit
Join This FREE Live Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more...
30:48:44 Hours
Virtual Event

Azure ML In Power BI
An overview on Azure ML and how to incorporate it with Power BI
00:55:53 Hours
Project
Center
Challenge

Challenge

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

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

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.
Challenge

Challenge

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









