Visualizing Data with Amazon QuickSight from Pluralsight

Amazon QuickSight is a new, cloud-based business analytics service enabling users to visualize and extract business insight from their data. This course teaches you how to connect, prepare and analyze your data inside one of Amazon's newest services.

Using data and analytics to drive decision-making ensures organizations stay competitive and efficient. In this course, Visualizing Data with Amazon QuickSight, you'll begin by learning how to create and manage a QuickSight account. From there, you'll explore the steps required to connect your data sources, both on-premises and cloud-based, to the QuickSight service. Next, you'll discover how to prepare data sets within the QuickSight interface using items like filters and calculated fields. Finally, you'll master how to analyze data sets using the features and visualizations provided by one of the newest offerings of Amazon Web Services. By the end of this course, you'll evolve from someone who has never seen QuickSight to a pro capable of analyzing your own data to drive and inform critical decision-making.

What's inside

Syllabus

Course Overview

Introduction to Amazon QuickSight

Creating Accounts and Managing Users

Connecting Your Data Sources

Preparing Your Data Sets

Visualizing and Analyzing Your Data

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Amazon QuickSight, a cloud-based analytics tool for data visualization and extraction

Covers core topics such as account setup, data source connections, data preparation, and data visualization

Instructed by Aaron Medacco, recognized for his experience in data analytics

Part of a series of courses on Amazon Web Services, indicating potential comprehensiveness

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visualizing Data with Amazon QuickSight with these activities:

Follow along with QuickStart videos demonstrating QuickSight functionality

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Reinforce your understanding of QuickSight's capabilities by watching videos created by its developers.

Browse courses on QuickSight

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Visit the QuickSight YouTube channel
Browse the QuickStart playlist
Select a video and follow along with the demonstration

Review basic data analysis concepts and techniques

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Strengthen your foundation in data analysis to enhance your understanding of QuickSight's capabilities.

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Read articles or watch videos on basic data analysis concepts
Practice data analysis techniques using online resources or sample datasets

Practice analyzing data with QuickSight visualizations

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Reinforce your understanding of the different types of visualizations available in QuickSight and how to use them effectively to communicate data insights.

Browse courses on Data Analysis

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Connect to a sample data source.
Create a variety of visualizations, such as bar charts, line charts, and pie charts.
Analyze the data and identify trends and patterns.

One other activity

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Create a data visualization project using real-world data

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Apply your QuickSight skills to a practical scenario by creating a data visualization project with real-world data.

Browse courses on Data Visualization

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Identify a dataset that you want to analyze and visualize
Import the dataset into QuickSight
Explore the data and identify trends and insights
Create visualizations to communicate the insights you discovered
Present your findings to your peers or instructors

Career center

Learners who complete Visualizing Data with Amazon QuickSight will develop knowledge and skills that may be useful to these careers:

Data Visualization Specialist

Data Visualization Specialists are responsible for creating visual representations of data. This course may be useful for Data Visualization Specialists who want to learn how to use Amazon QuickSight to create visual representations of data, which can help them communicate data more effectively.

See salaries and explore the career path for Data Visualization Specialist

Business Intelligence Analyst

Business Intelligence Analysts help businesses make better decisions by providing them with data and insights. This course may be useful for Business Intelligence Analysts who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them provide better insights to businesses.

See salaries and explore the career path for Business Intelligence Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course may be useful for Machine Learning Engineers who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them build better machine learning models and make better predictions.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

Business Analysts help businesses identify and solve problems. This course may be useful for Business Analysts who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them better understand the business and make better recommendations.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data. This course may be useful for Statisticians who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them make better inferences from data.

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Management Consultant

Management Consultants help businesses improve their performance. This course may be useful for Management Consultants who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them better understand the business and make better recommendations.

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Data Scientist

Data Scientists use data to build predictive models and solve business problems. This course may be useful for Data Scientists who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them build better models and make more accurate predictions.

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Product Manager

Product Managers are responsible for developing and launching new products. This course may be useful for Product Managers who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them better understand their customers and make better product decisions.

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Data Engineer

Data Engineers are responsible for building and maintaining data pipelines. This course may be useful for Data Engineers who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them build better data pipelines and make better use of data.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to make investment decisions. This course may be useful for Quantitative Analysts who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them build better models and make better investment decisions.

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Financial Analyst

Financial Analysts help businesses make financial decisions. This course may be useful for Financial Analysts who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them make better investment decisions.

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Marketing Analyst

Marketing Analysts help businesses understand their customers and make better marketing decisions. This course may be useful for Marketing Analysts who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them better understand their customers and make better marketing campaigns.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course may be useful for Database Administrators who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them better manage and maintain their databases.

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Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make better decisions. This course may be useful for Data Analysts who want to learn how to use Amazon QuickSight, a cloud-based business analytics service, to visualize and analyze data.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn how to use Amazon QuickSight to visualize and analyze data, which can help them build better software applications.

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