Data Strategy

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 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 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 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 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.

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

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

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

Transform and automate business processes by integrating SharePoint with Power Automate and Power Apps to build workflows and customized forms

Deep dive into creating your own reusable custom visuals using Microsoft's Charticulator tool

Streamline your data storage and sharing through advanced concepts on SharePoint List, Permissions and Social

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

This lesson will show the easy and quick ways to get things done with Excel. Bob will show you a potpourri of tips & tricks not widely known.

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

Uncover practical methods of improving layout design and report navigation

Know the techniques in creating indexes and how to loop efficiently using DAX

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

Know how to filter the data using what-if parameters

Your data is only as valuable as the result you can extract from it. You will leave this session empowered and excited to take your data to the next level. 

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

Challenge yourself to produce a report which gives HR insight into the consultation process. 

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

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

Create a report or dashboard to help management visualize what is happening on the new app

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

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

Analyze the data of a medical emergency response service and discover opportunities for improvement on their process