Business Analytics

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

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

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

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

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

Create advanced analytical models by learning how to harness the power of DAX calculations for use within 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 comprehensive financial reports in Power BI that represent key insights in a compelling and dynamic way

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

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

Discover sample DAX techniques that enhance business insights and explore DAX formulas to leverage conditional formatting options

Review discrete events with scenario applied

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

Let's dive into historical oil drilling output globally and see how production has trended over time

The session include function Let and how to declare and using parameters in Power Query and DAX

Real-life practical application of Power Apps to drive cost & time savings by enabling the operations team more proactive in handling the problems

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

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.

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

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

Enhance your development skills by creating a supplier insights report

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

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.