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 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 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 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 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 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 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. 

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

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

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

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

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

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

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

Create compelling Power BI market reports

Boost your productivity and performance by mastering Microsoft’s latest technology updates

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

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

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

Learn beginner to advanced DAX function techniques

Discover various Data Time Manipulation techniques in SQL

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

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

Use the data documenter tool to create an effective report template 

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

Challenge your data skills in creating an analysis report on substance

Enhance your development skills by creating a supplier insights report

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.

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

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