Advanced Analytics

This learning path offers a deep dive into data management and analysis, emphasizing the hands-on use of Python and Scala languages for manipulating CSV and JSON files, and the application of SQL for data querying. 

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 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 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 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 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 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.

Master the most powerful tool for data modeling and DAX calculations in Power BI and Analysis Services

The first of the two-part preparation course for the Microsoft's DP-500 Exam Certification

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

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

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

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

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

Join a casual conversation with Sam and the Power BI Challenge Winner, Brian.

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

Take a deep dive in pivot tables with Bill Jelen from MrExcel. Learn awesome pivot table techniques in both pivot cache pivot tables and data model pivot tables.

In this presentation, you will learn the new LAMBDA function in Excel. How to use this to simplify functions that do not currently exist. 

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

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

An overview on Azure ML and how to incorporate it with Power BI

Analyzing your data set in comprehensive way to get a better understanding

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

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

Use the data documenter tool to create an effective report template 

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

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

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.

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

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