Business Analytics

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

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.

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

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.

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

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

Implement selected design techniques and chat formatting options to enhance overall user experience (UX)

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

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

Learn many techniques for effective reporting around marketing & advertising campaigns effectiveness within Power BI.

Solve advanced analytical questions using Power BI

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

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

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

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

Enhance your development skills by creating a supplier insights report

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.

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

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.

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.