Advanced Analytics

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.

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 comprehensive journey through advanced data analysis and modeling techniques all illustrated through practical scenarios.

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 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 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!

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

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

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

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

Expand Power BI's capabilities in accessing a wide range of data using APIs

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

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

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

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

In this presentation, we would be developing a solution a simple solution to bulk rename files and folders in a folder.

Discover advanced data modeling and DAX techniques to speed up DAX query execution

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

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

Let's go beyond the thrills and glamour of Excel tricks. This session explores the dark side--the sexy features in Excel that can burn your fingers if you're not careful.

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

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

Challenge your data skills in creating an analysis report on substance

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

Use the data documenter tool to create an effective report template 

Enhance your development skills by creating a supplier insights report

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

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

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

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