Power BI and AI Course: Unlocking Advanced Analytics in Power BI

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Introduction

If you're interested in data analytics and want to take your skills to the next level, then a Power BI and AI course is the perfect fit for you. In this course, you'll learn how to use Power BI to perform advanced analytical functions, identify outliers in your data, group data together, and bin data for analysis.

But before we dive into the details of the course, let's understand what Power BI is and why it's such a powerful tool for data analytics.

What is Power BI?

Power BI is a business analytics tool by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It allows you to connect to a wide variety of data sources, clean and transform the data, and create visually stunning reports and dashboards that can be shared with others.

Now, let's take a closer look at what you'll learn in a Power BI and AI course.

Learning Objectives

Performing data analytical functions in Power BI
Identifying outliers in your data
Grouping data together for analysis
Binning data for analysis
Performing time series analysis
Working with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature

Prerequisites

Before enrolling in a Power BI and AI course, it's important to have a basic understanding of data analytics and Power BI. Familiarity with concepts like data cleaning, data transformation, and data visualization will be beneficial. Additionally, a basic understanding of machine learning concepts will also be helpful.

Why Take a Power BI and AI Course?

Now, you might be wondering why you should invest your time and money in a Power BI and AI course. Here are a few reasons:

Enhance Your Data Analytical Skills: Power BI is a powerful tool for data analytics, and by taking a course, you'll learn how to leverage its advanced features to perform complex analysis on your data.
Stay Ahead in Your Career: In today's data-driven world, organizations are constantly looking for professionals who can analyze data and derive meaningful insights. By acquiring Power BI and AI skills, you'll stay ahead of the curve and increase your career opportunities.
Improve Business Decision-Making: Power BI allows you to visualize data in a way that makes it easier to identify patterns, trends, and outliers. By analyzing data using Power BI, you'll be able to make informed business decisions that can drive growth and success.
Unlock the Power of AI: In a Power BI and AI course, you'll learn how to apply pre-trained machine learning models from AI Insights to your data in Power BI Desktop. This will enable you to harness the power of AI and make accurate predictions and recommendations based on your data.

Course Structure

The Power BI and AI course is designed to provide you with a comprehensive understanding of Power BI and its advanced analytics features. Here's a breakdown of the course structure:

Module 1: Perform Analytics in Power BI

In this module, you'll learn how to perform data analytical functions in Power BI. You'll explore techniques for identifying outliers in your data, grouping data together, and binning data for analysis. You'll also dive into time series analysis and learn how to work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.

Module 2: Use AI Insights in Power BI Desktop

In this module, you'll learn how to apply a collection of pre-trained machine learning models from AI Insights to your data in Power BI Desktop. You'll discover how to enable Text Analytics and Vision on Premium capacities, use Text Analytics and Vision functions in Power Query, and publish a report with Text Analytics or Vision functions. You'll also explore considerations and limitations of Text Analytics and learn how to grant access to an Azure Machine Learning model.

Module 3: Build a Machine Learning Model in Power BI

In this module, you'll follow a step-by-step tutorial to learn how to build and use a machine learning model in Power BI. You'll create a dataflow with the input data, create and train a machine learning model, review the model validation report, apply the model to a dataflow entity, and use the scored output from the model in a Power BI report. You'll also explore the limitations of building machine learning models in Power BI.

Conclusion

A Power BI and AI course is a great way to enhance your data analytical skills and stay ahead in your career. By learning how to use Power BI to perform advanced analytics and apply pre-trained machine learning models, you'll be able to unlock the full potential of your data. So why wait? Enroll in a Power BI and AI course today and take your data analytics skills to the next level!