Advanced Analytics

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 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 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 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 build expert level skills in the implementation, monitoring and governance of Power BI, including making optimal use of the Service through dataflows, datasets, thin reports, etc.

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

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

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

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

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

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

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

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

Check the Replays of the Feb 2022 Analytics Summit Event for Analysts, Excel Users, Database Professionals, Data Enthusiasts and more.

This session will cover which Python and R packages and examples can facilitate functionalities found in Power BI

Develop advanced Power BI analytical techniques

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

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.

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

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

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.

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

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

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

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

Use the data documenter tool to create an effective report template 

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.

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