Business Analytics

This Learning Path delves into data analysis and modeling, focusing on Filter and Row Contexts for data computations, and the use of functions like SUM, SUMX, and Calculate.

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 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 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. 

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 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 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 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 module discusses the different features of the Analyst Hub platform and the tips to maximize the use of tools to enhance Power BI development.

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

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

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

A detailed step-by-step process of creating high-quality Power BI reports that satisfy the requirements of real-world scenarios

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

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

In this session, you will learn how to manage Banking Transactions Directly Through Your Excel-VBA model

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Greg.

Learn how these many functions can be applied to your own data sets, to enable you to extract the insights you require very fast

Learn a range of advanced techniques in Power BI using DAX

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

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

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

Enhance your development skills by creating a supplier insights report

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.

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.

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

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