Advanced Analytics

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

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

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 offers a comprehensive journey through data visualization and analysis techniques, with a special emphasis on Power BI.

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 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.

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

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

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

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

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

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

Learn valid inference techniques for two-sample and two-variable data questions.

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

Dynamic data labels at the end of the line

Learn beginner to advanced DAX function techniques

Develop complex Power BI solutions

Develop compelling dashboards within Power BI using a range of analytical and visualisation techniques

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

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

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

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

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

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

Challenge your data skills in creating an analysis report on substance

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

Enhance your development skills by creating a supplier insights report

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.