Advanced 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 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 Learning Path offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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 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 Learning Path delves into data analysis and visualization using both R and Python, covering data cleaning, data frames, and the use of packages like dplyr, tidyverse, skim R, and seaborn. It offers hands-on examples, such as creating various plots, performing group-based operations, and utilizing descriptive statistics for effective data interpretation.

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.

A practical guide to recognizing, understanding, and managing uncertainty in data 

Enhance your Power BI reports and analysis with R's visualization, text analysis and statistical modeling capabilities.

Dramatically enhance Power BI's capabilities by incorporating Python's flexible and powerful data wrangling, data analysis and data visualization functionality

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

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

Learn valid inference techniques for two-sample and two-variable data questions.

Clean data and perform Natural Language Processing through Python's functions, algorithms and programming methods

Improve the overall performance of your DAX measures using the DAX Studio

Learn the best practices for transforming data in the query editor

Expert walk-through of week #1 solution with Sam McKay and Brian Julius

What should you consider when putting your carefully-researched data together for an audience? Get the tips for using the right tools for each job.

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

Showcase the best techniques around bookmarks, tooltips, selections, drillthrough & theming

Illustrate key techniques in Power Query/M by working through the Challenges

Covers the use of quick measures and the features

Create an analysis report on environmental data and potentially impact how this data is visualized and recorded

Enhance your development skills by creating a supplier insights report

An excellent opportunity for you to create a one-page data report for Covid-19 analysis

Challenge your data skills in creating an analysis report on substance

Jump into this twitter related dataset and showcase some interesting insights based on the text of the tweet and the stock reference or tagged within the tweet itself.

Challenge your data skills by creating a report on transport and shipping data 

Take a deep dive into the world of utilisation and timesheet data

Use the data documenter tool to create an effective report template 

This Excel formulas cheat sheet covers advanced forecasting formulas, statistical analysis, data manipulation functions, error handling, and more.