Power BI: Advanced Level

by Technologia IT Group Inc Claim Listing

Microsoft Power BI is the best data visualization and publishing tool (business intelligence - BI). To this tool we add the most effective and popular language: Python, in its Anaconda ecosystem.

$995

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img Duration

2 Days

Course Details

Microsoft Power BI is the best data visualization and publishing tool for business intelligence (BI). In this tool, we add the most effective and popular language, Python, to its Anaconda ecosystem.

This Power BI training with Python helps you go further in your use of this tool (whether Power BI Service or Power BI Desktop) so that you master its advanced features to access and process data (relational and non-relational).

You will use Python for processing, modeling, and statistical visualization of data in Power BI. You will then be able to create dynamic and shareable dashboards to help with decision-making.

 

Training Aims

Be able to use advanced Power BI features using the Python language.

 

Target Customers

Users who must create and publish reports within their organization and who wish to master the functionalities offered by Power BI with Python (rather than M and Dax, whose mastery is not necessary for this training)

 

Prerequisites

Master Power BI 1 (Course MS421) or have a general knowledge of Power BI.

 

 

Training Architecture

For this course, you can connect to your Power BI desktop or take advantage of one of our virtual machines.

In this training, you will learn how to optimize your data using Power BI. You will know how to leverage the power of Power BI and Python to connect, retrieve, transform, and visualize data.
Once you understand how to build a dashboard with Python in Power BI, you will be able to analyze the data that will allow you to monitor the state of your service or business as well as make discoveries that will feed your future recommendations.

The combination of Python and Power BI provides the ultimate tool to connect, analyze, and visualize data in depth while remaining actionable, especially for those who don't want to use M and DAX.

The tool is part of Office 365.

 

Python and Power BI

  • Installation and configuration of Python in Anaconda (and its libraries) 
  • Getting started with Python in Jupyter Notebook 
  • Installation of Python libraries (Matplotlib, Seaborn, Numpy, Pandas, StatsModels, etc.) 
  • Integration of Python in Power BI (data sources and their manipulation) and script showcases (Python visuals) 

 

Data Acquisition, Processing, and Modeling 

  • How to import data using Python into Power BI 
  • How to clean, process, and model data using Python in the Power BI Query Editor
  • Web scraping exercise (data recovery from web pages)
  • Introduction to advanced modeling (links between tables) and introduction to forecasting models (for example, forecasting the exchange rate according to the price of the barrel)

 

Modeling 

  • How to visualize data using Python in Power BI
  • marry data tables to create a business model.
  • Fix filters with Python (rather than DAX) 

 

Power BI and DAX 

  • Advanced DAX Functions (Measures, etc.) 
  • Best Tips with DAX (show minimums and maximums, etc.) 
  • Advanced visualizations 
  • Montreal Branch

    1626, boulevard St-Laurent, Montreal

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