Advanced Analytics

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

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 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 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.

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

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

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

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

Amplify your Power BI visualizations with R's comprehensive statistical analysis and graphics language

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

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

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

Covers the use of quick measures and the features

Learn the best practices for transforming data in the query editor

Master complex data model techniques especially when running forecasting analysis

Learn how simple resources can generate amazing results in the charts, applicable to any analysis.

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

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

Using visual layering and transparency masks to improve data storytelling Advanced tricks for conditional formatting icons

Develop an analysis report about the Football/Soccer Players Summer Transfers Season 2022-23

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

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 in creating an analysis report on substance

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

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

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.