Advanced Analytics

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 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 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 techniques, focusing on Power BI functions. It guides learners to enhance their data insight extraction skills.

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 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 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. 

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

Implement advanced & practical analytical techniques inside of Power BI and find insights you never thought possible in an intuitive way

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

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

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

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

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

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

In this session, Celia will reveal her top list of Excel skills and features needed to automate the most common Excel reporting procedures.

Learn a range of advanced techniques in Power BI using DAX

Discover various Data Time Manipulation techniques in SQL

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

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

Discovering unique and valuable insights and solve advanced analytical questions using 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

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

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

Challenge your data skills in creating an analysis report on substance

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

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 

Enhance your development skills by creating a supplier insights report

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