Business Analytics

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

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 Learning Path delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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 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 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 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 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.

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

Build a strong foundation on your MS Excel skills as you progress to advanced level

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

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. 

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within Power BI

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

Learn how to predict and optimize for results in the future, by utilizing 'what if' parameters and scenario analysis techniques

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

Build a comprehensive and compelling Power BI report within an hour from scratch!

In this session, Ken will show you how he can build a complex Excel BI model leveraging Power Query and Power Pivot very quickly. 

Incorporate multiple variables within function using List.Generate

Implement some creative Row-Level-Security techniques effectively and learn how to dynamically anonymize data

Extracting Records has always been an important task for Excel users. In this session, you will learn how this task evolved

It  provides visibility to a wide range of insights to the performance of a typical call centre operation.

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

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

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.

Provide a business solution by creating an intelligence tool to use by large opticians

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.

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.

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