Advanced Analytics

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

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 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 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. 

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

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

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

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

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

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 

Relationship best practices in Power BI

In this sessions we will start from what you need to know about Azure AD in relation to Azure data services.

Identify trends in sales and customer behavior and assess the performance of different stores or regions using the LFL Analysis in Retail

Develop advanced Power BI analytical techniques

Analyzing your data set in comprehensive way to get a better understanding

Discover various Data Time Manipulation techniques in SQL

Create compelling Power BI market reports

Dynamic data labels at the end of the line

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

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

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

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

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

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