Advanced Analytics

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

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.

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 thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

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. 

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

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

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

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

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

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

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

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

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.

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

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

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

Develop complex Power BI solutions

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

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

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

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

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

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