Business Analytics

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

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 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 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 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 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.

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

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

Learn a range of advanced techniques in Power BI using DAX

The different admin roles related to Power BI

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

Learn the steps on how to collaboratively design a star schema with your business users and ensure that the schema meets the needs of the organization

Focus on financial reporting techniques in Power BI. We will be building a PnL statement from scratch, utilizing all the key features of Power BI.

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

Review a number of techniques specifically around developing high quality reporting solutions in Power BI.

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.

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.

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

Enhance your development skills by creating a supplier insights report

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.

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

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