Advanced Analytics

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

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 designed to build the broad range of expert-level knowledge necessary to confidently pass the PL-300 Data Analyst certification exam (replacement for DA-100).

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

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 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.

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

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

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

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

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

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

Improve the overall performance of your DAX measures using the DAX Studio

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

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

Data story telling is an important part of the report development process. It changes the way the audience views reports.

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

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

Expert Lightning Round

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

Relationship best practices in Power BI

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

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

Enhance your development skills by creating a supplier insights report

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

Challenge your data skills in creating an analysis report on substance

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

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.