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
Accessing Data via APIs in Power BI
Expand Power BI's capabilities in accessing a wide range of data using APIs
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

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

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

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

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

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

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

Data Modeling in Power BI
This Learning Path offers a comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.
Intermediate
6 Hours
Learning
Center
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 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

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

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

Introduction to Statistics for Data Analysts II
Learn valid inference techniques for two-sample and two-variable data questions.
Intermediate
2 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

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
Virtual
Events
Virtual Event

Key Elements Of Actionable Report
Learn how to create clear and consistent reports in Power BI
01:16:00 Hours
Virtual Event

Learn to Become a Power BI Super User
Learn the best practices for transforming data in the query editor
01:04:38 Hours
Virtual Event

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

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

Forecasting Analysis in Python
Master complex data model techniques especially when running forecasting analysis
00:49:56 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

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
Project
Center
Challenge

Challenge

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

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

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

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

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









