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
R For Power BI Users
Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language
Learning
Paths
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

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

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

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

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

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

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
Learning
Center
Course

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

DAX Optimization Masterclass Using DAX Studio
Improve the overall performance of your DAX measures using the DAX Studio
Intermediate
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

Data Transformation with Synapse & Power BI (DP-500 I)
The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification
Advanced
8 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

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

SQL For Power BI Users
Level up your SQL query fluency even without prior SQL experience.
Beginner
3 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
Virtual
Events
Virtual Event

Parameters from Regular Excel to Power BI
The session include function Let and how to declare and using parameters in Power Query and DAX
00:51:49 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

Scenario Analytics Insights
Discovering unique and valuable insights and solve advanced analytical questions using Power BI
00:57:31 Hours
Virtual Event

Calculation Groups Beyond Time Intelligence
Dynamic data labels at the end of the line
00:46:11 Hours
Virtual Event

The Excel Features & Skills You Need to Automate a Reporting Procedure
In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.
00:54:08 Hours
Virtual Event

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

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

Sport - Football/Soccer Players Summer Transfers Season 2022-23
Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23
Challenge

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

Challenge

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