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Predictive Data Analysis

Course

This course introduces students to a selection of powerful tools in Power BI Desktop that can be used for predictive analysis. Concepts such as classification, regression, and forecasting are discussed in detail, and various techniques are explored with different data sets, allowing students to practice predictive data analysis with a hands-on approach. The content covered in this course can help an enterprise to understand future risk, analyze different markets or make other decisions critical to an organization.

This course introduces students to a selection of powerful tools in Power BI Desktop that can be used for predictive analysis. Concepts such as classification, regression, and forecasting are discussed in detail, and various techniques are explored with different data sets, allowing students to practice predictive data analysis with a hands-on approach. The content covered in this course can help an enterprise to understand future risk, analyze different markets or make other decisions critical to an organization.

Beginner

4 weeks

Real-world Projects

Completion Certificate

Last Updated May 21, 2024

Skills you'll learn:
Cluster models • Time-series analysis • Automated machine learning • Power BI Data Pipeline
Prerequisites:
Data transformation • Basic descriptive statistics • Data visualization

Course Lessons

Lesson 1

Introduction to Predictive Data Analytics

This lesson will introduce predictive analytics concepts and a general overview of when to use it in your organization. We will also review the project and the primary tool we will use: Power BI.

Lesson 2

Regression

We will review one Machine Learning technique that involves numeric data: Regression. We will learn about its main features, how to interpret it and how to construct it using Power BI.

Lesson 3

Classification and Clustering

We will learn additional ML techniques: Classification and Clustering. We will review its main features, some clustering techniques, how to interpret them and how to construct clusters with Power BI.

Lesson 4

Time-Series Forecasting

We will review what a time-series is. Also, we will review deterministic and probabilistic forecasting methods, how to read and interpret time-series and how to create forecasts using Power BI.

Lesson 5

Additional Tools and Techniques

We will review additional ML and AI-powered tools using Power BI: we will focus on Power BI dataflows and its AutoML features and use two AI-powered visuals: the Q&A and the smart narratives.

Lesson 6 • Project

Commercial Flight Analysis in the State of New York

In this project, students will use the data of past flights departing from the State of New York to analyze and give recommendations about flight delays.

Lesson 7

Microsoft PowerBI Workspace

In this lesson, you'll learn how to set up a Windows desktop workspace to use Power BI

Taught By The Best

Photo of Daniel Roca

Daniel Roca

Full Stack Data Analytics Specialist

Daniel has worked for many years in business intelligence and data science and has used Power BI to find unique patterns in data to support decision-making. He is passionate about solving problems through data analytics, and loves the challenge of finding innovative ways to create efficient and impactful data-oriented solutions.

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Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

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Average time to complete a Nanodegree program

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Predictive Data Analysis

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  • Unlimited access to our top-rated courses
  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

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Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.
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