Data Strategy

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.

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.

This Learning Path delves into data analysis techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

This path is designed to provide you the necessary skills to build full enterprise apps by integrating Power BI , Power Automate and Power Apps. 

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.

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. 

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.

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.

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.

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

The second part of the preparation course for the Microsoft's DP-500 Exam Certification

Discover best practices and frameworks to create your own successful implementation of Power BI

Unlock the power of data analysis and visualization with PandasAI, and transform raw data into actionable insights that drive decision-making and growth.

Create stunning visualizations without advanced DAX knowledge

Create any custom visualization using the well-established Vega languages for interactive graphic

Learn the basics of SharePoint to increase productivity and collaboration, organize your data, and automate business processes

In this session, we will look at the online tools available inside Office 365 to automate our Excel processes.

Create powerful and informative data visualizations with Key Performance Indicators and formatting with calculation groups

Expert walk-through of week #2 solution with Sam McKay and Brian Julius

Create basic pipelines for data cleaning, visualization and modeling in R

Explore how to combine data from different tables with or without a relationship in DAX

Learn how eDNA's new platform and tools empower fast and effective development

Learning how to use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY

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 your data skills by creating a report on transport and shipping data 

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.

An opportunity to design and build a report that gives insights into customer behavior

Deep dive into the world of F1 and create an analysis of the drivers' stats

Create a navigation experience that showcases your brand and keeps users coming back for more by prioritizing the user experience and considering the needs and preferences of your target audience.

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.

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded