Advanced Analytics

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 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 path is similar to the Data Analyst learning path above, but is geared to building a strong and broad foundation of data analysis skills, as compared to being more specifically focused on passing the PL 300 exam.

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 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 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 in statistical analysis and inference equips learners with practical skills to conduct tests, estimate sample sizes, and understand test assumptions. 

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

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

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

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

Master key data modeling and DAX concepts and techniques to optimize performance in Power BI

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

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

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

Illustrate key techniques in Power Query/M by working through the Challenges

An overview on Azure ML and how to incorporate it with Power BI

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

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

Discovering unique and valuable insights and solve advanced analytical questions using Power BI

Develop complex Power BI solutions

Enhance your development skills by creating a supplier insights report

Challenge your data skills in creating an analysis report on substance

Use the data documenter tool to create an effective report template 

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

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

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

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.