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Introduction to Amazon Quicksight

AWS

This is an introductory video on Amazon QuickSight – the cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

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This is an introductory video on Amazon QuickSight – the cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

This is an introductory video on Amazon QuickSight – the cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this course, we will discuss the benefits of using Amazon QuickSight and how the service works. The course will also include a demonstration so you can see what Amazon QuickSight looks like in action.

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What's inside

Syllabus

Introduction to Amazon Quicksight

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces Amazon QuickSight, an industry standard cloud-powered business analytics service
Taught by AWS, recognized for their work in cloud computing
Explores ad-hoc analysis and visualizations, core skills for data analytics

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Activities

Coming soon We're preparing activities for Introduction to Amazon Quicksight. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introduction to Amazon Quicksight will develop knowledge and skills that may be useful to these careers:
Business Analyst
Business Analysts are strategy-led professionals who identify business needs and create solutions to meet those needs. They help translate qualitative and quantitative data into actionable insights for stakeholders. Amazon QuickSight provides the basics of data visualization as well as how to create actionable insights from business data. This course may be useful to someone who wishes to build a career in this field.
Data Analyst
Data Analysts mine and clean data to find trends that can drive business objectives. They analyze both qualitative and quantitative data sources to do so. Amazon QuickSight teaches the basics of data visualization and helps to build a foundation in business insights analysis. This course may be useful to someone who wishes to build a career in this field.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They ensure that data is clean, accurate, and accessible for analysis. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Statistician
Statisticians collect, analyze, interpret, and present data. They use models and techniques to draw conclusions and make predictions. Amazon QuickSight provides the basics of data visualization. Statisticians can use this to present their findings in a more visually compelling way. This course may be useful to someone who wishes to build a career in this field.
Data Scientist
Data Scientists apply computational, analytical, and modeling techniques to large, complex data sources. They uncover patterns, trends, and anomalies to solve business problems. Amazon QuickSight can help Data Scientists gain a foundation in business analytics and visualization. This course may be useful to someone who wishes to build a career in this field.
Market Researcher
Market Researchers gather and analyze market data to gain insights into customer behavior and preferences. They use this information to develop marketing campaigns and strategies. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Financial Analyst
Financial Analysts provide insights into the financial performance of companies and make recommendations for investment. They use various data sources to create financial models and reports. Amazon QuickSight provides the basics of data visualization and helps to build a foundation in business insights analysis. This course may be useful to someone who wishes to build a career in this field.
Product Manager
Product Managers are responsible for the conception, development, and launch of new products or features. They work with engineers, designers, and marketers to bring products to market. Amazon QuickSight teaches the basics of data visualization and helps to build a foundation in business insights analysis. Product Managers can use this foundation to make informed decisions about product development. This course may be useful to someone who wishes to build a career in this field.
Sales Manager
Sales Managers are responsible for leading and motivating sales teams to achieve revenue targets. They analyze sales data to identify trends and opportunities. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. They use data to identify inefficiencies and make improvements. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They use data to track the effectiveness of their campaigns and make adjustments as needed. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Human Resources Manager
Human Resources Managers are responsible for the management of employees within an organization. They use data to identify trends and make decisions about hiring, training, and development. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They use data to track progress and make decisions about resource allocation. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Accountant
Accountants are responsible for the preparation and analysis of financial statements. They use data to ensure that financial records are accurate and compliant with regulations. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.
Consultant
Consultants provide advice to clients on a variety of business issues. They use data to identify problems and develop solutions. Amazon QuickSight provides a solid foundation in data visualization as well as putting data into context through business insights. This course may be useful to someone who wishes to build a career in this field.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Amazon Quicksight.
Provides a comprehensive introduction to data visualization. It covers topics such as data types, chart types, and design principles. It valuable resource for anyone who wants to learn more about data visualization or who is looking to improve their skills in this area.
Provides a comprehensive introduction to data analysis with Python. It covers topics such as data cleaning, data manipulation, and data visualization. It valuable resource for anyone who wants to learn more about data analysis or who is looking to use Python for this purpose.
Provides a comprehensive introduction to data mining with R. It covers topics such as data preparation, data analysis, and model building. It valuable resource for anyone who wants to learn more about data mining or who is looking to use R for this purpose.
Provides a comprehensive introduction to deep learning with Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning or who is looking to use Python for this purpose.
Provides a comprehensive overview of Hadoop. It covers a wide range of topics, including how to install Hadoop, configure Hadoop, and use Hadoop to process big data. It good resource for anyone who wants to learn more about Hadoop.
Provides a comprehensive overview of Spark. It covers a wide range of topics, including how to install Spark, configure Spark, and use Spark to process big data. It good resource for anyone who wants to learn more about Spark.

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