Business Analytics

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 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.

This Learning Path delves into data manipulation and analysis using SQL and DAX. It covers techniques and practical code examples.

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).

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.

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 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 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. 

Become a better data storyteller by learning techniques to create reports that inspire and have an impact.

Learn how to transfer your knowledge of SQL to DAX and vice versa

Create comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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.

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

Learn all about DAX calculations in Power BI. Learn introductory theory as well as how to put it into practice when developing Power BI models. 

Review some of the best practices to refine your Power BI development skills

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

Sam McKay talks to Paul Lucassen, one of our Enterprise DNA experts, about the role of geospatial data analytics in the transportation and logistics industry

We will focus on the CRM Sales data and gain insights into the future revenue derived from a specific client set.

Inventory insights deep dive

Streamline business processes through automation with no code

Learn how to combine queries to protect the fact tables in the tabular model

Showcase how to implement an SCD Type 2 using Power Query to allow a full historical analysis of a specific dimension

Learn a range of advanced techniques in Power BI using DAX

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

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.

Analyze data from marketing campaigns and initiatives, using visualization tools and statistical analysis techniques to identify trends and patterns, and use these insights to inform marketing strategy and decision-making.

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

Create a summary report, a task that for many data analysts will always find its way across the desk every so often

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

Analyze the data of a large insurance company who are due to undergo an internal audit with regard to its complaint’s procedure

Enhance your development skills by creating a supplier insights report

Practice your data skills and learn from what is a typical scenario faced by many businesses in various industries