Advanced Analytics

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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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 delves into Power BI development, focusing on creating effective reports and visualizations. It covers parameter management, using PowerPoint and more!

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 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 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 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.

Level up your SQL query fluency even without prior SQL experience.

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

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

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

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

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

Master the ultimate tool for executing and analyzing DAX queries against various sources including Power BI and SSAS

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

Relationship best practices in Power BI

Learn about the three fundamental rules that should guide your decision on choosing the correct type of chart

Learn the best practices for transforming data in the query editor

Create compelling Power BI market reports

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

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

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.

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

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.

Deep dive into the world of F1 and create an analysis of the drivers' stats

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

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

Use the data documenter tool to create an effective report template 

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

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