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.
DurationMicrosoft 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
Data Acquisition, Processing, and Modeling
Modeling
Power BI and DAX
Since 1996, Technologia has been a training and skills development partner, enabling business leaders and managers to improve their performance, as well as that of their teams, through a wide variety of learner-centered training. We offer consulting and support services based on the company's business objectives.
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Support organizations in all sectors and their employees in developing their skills by offering them learning management consulting services as well as training adapted to their needs.
We firmly believe that competence is a strategic element directly linked to achieving business objectives and improving overall performance.
What We Aspire To:
Position ourselves as a leader, a strategic partner par excellence in Quebec, able to offer a global and integrated service in the field of corporate training. It is obvious to us that maintaining and developing skills is essential to the success of individuals and the performance of organizations.
This Is Why Technologia:
Advises and equips Quebec companies to promote the development of their skills and the achievement of desired performance levels
Supports individuals in updating their skills during the development of their careers.
Whether you want to land a job in data science or data analytics, become a data engineer, or get prepared for WeCloudData’s data bootcamps, SQL, Python, and basic data visualization skills are essential.
In this course, you'll use sophisticated data-visualization tools to understand data and share information with others. You'll also learn how to manage a Big Data science project from beginning to end, and that's exactly what they'll want you to be doing in your next job.
This Data Analytics Bootcamp is an intensive learning program designed to equip learners with the skills and knowledge required to kick start a career in data analytics.
Big Data SecurityOur Big Data Security course focuses on implementing effective data security in a big data environment. Learn about analytics and the big data considerations regarding volume, velocity, variety, variability, and complexity.
This course offers practical implementation of Big Data on various frameworks, such as Hadoop, Hive, Pig, Spark, Scala, etc.
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