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 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 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 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 will provide you in-depth knowledge of the full range of Power BI best practices, with particular emphasis on building data models specifically optimized for Power BI.

This learning path provides a thorough understanding of SQL, emphasizing key commands for data manipulation and querying. 

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 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.

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

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

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

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

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

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

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

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

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

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

Relationship best practices in Power BI

Develop advanced Power BI analytical techniques

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

Discover advanced data modeling and DAX techniques to speed up DAX query execution

Covers the use of quick measures and the features

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

Enhance your development skills by creating a supplier insights report

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

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

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.

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

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

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.