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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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/z2rjd1/introduction
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What's inside
Syllabus
Introduction to Amazon Quicksight
Good to know
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
Save this course
Save Introduction to Amazon Quicksight to your list so you can find it easily later:
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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 Introduction to Amazon Quicksight with these
activities:
Review data visualization concepts
Show steps
Reinforce your understanding of data visualization concepts before starting the course to ensure a solid foundation for learning Amazon QuickSight.
Browse courses on
Data Visualization
Show steps
-
Review basic principles of data visualization, such as choosing the right chart type and using color effectively.
-
Explore different data visualization tools and techniques.
Follow tutorials on Amazon QuickSight
Show steps
Enhance your understanding of Amazon QuickSight by following guided tutorials that provide step-by-step instructions on using its features and functionalities.
Browse courses on
Amazon QuickSight
Show steps
-
Identify tutorials relevant to your learning goals.
-
Follow the steps outlined in the tutorials to build visualizations and analyze data.
-
Experiment with different options and settings to customize your visualizations.
Attend industry meetups or webinars on data analytics
Show steps
Connect with professionals in the field of data analytics to gain insights and expand your knowledge beyond the classroom.
Browse courses on
Data Analytics
Show steps
-
Research upcoming industry meetups or webinars.
-
Register for events that align with your learning goals.
-
Attend the events and actively participate in discussions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Build visualizations in Amazon QuickSight
Show steps
Solidify your skills in using Amazon QuickSight by practicing building visualizations with real-world datasets.
Browse courses on
Data Visualization
Show steps
-
Import a dataset into Amazon QuickSight.
-
Create visualizations using different chart types and options.
-
Analyze the visualizations and identify insights.
Participate in a data visualization workshop
Show steps
Accelerate your learning by attending a data visualization workshop led by experienced professionals.
Browse courses on
Data Visualization
Show steps
-
Identify workshops that align with your learning goals.
-
Register for a workshop and prepare for the session.
-
Actively participate in the workshop activities and discussions.
Develop a data visualization dashboard
Show steps
Demonstrate your understanding of Amazon QuickSight by creating a comprehensive data visualization dashboard that addresses a specific business problem.
Browse courses on
Data Visualization
Show steps
-
Identify a business problem that can be addressed with data visualization.
-
Gather and prepare the necessary data.
-
Design and build the dashboard using Amazon QuickSight.
-
Present your dashboard and insights to stakeholders.
Volunteer as a data analyst
Show steps
Gain hands-on experience and apply your skills in a real-world setting by volunteering as a data analyst.
Browse courses on
Data Analysis
Show steps
-
Identify organizations that accept volunteers with data analytics skills.
-
Apply for volunteer positions and submit your resume and cover letter.
-
Complete the volunteer training and orientation.
-
Work on data analysis projects and contribute to the organization's goals.
Contribute to open-source data visualization projects
Show steps
Contribute to the open-source community by collaborating on data visualization projects.
Browse courses on
Data Visualization
Show steps
-
Identify open-source data visualization projects on platforms like GitHub.
-
Review the project documentation and identify areas where you can contribute.
-
Submit a pull request with your contributions.
-
Collaborate with other developers to improve the project.
Review data visualization concepts
Show steps
Reinforce your understanding of data visualization concepts before starting the course to ensure a solid foundation for learning Amazon QuickSight.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review basic principles of data visualization, such as choosing the right chart type and using color effectively.
- Explore different data visualization tools and techniques.
Follow tutorials on Amazon QuickSight
Show steps
Enhance your understanding of Amazon QuickSight by following guided tutorials that provide step-by-step instructions on using its features and functionalities.
Browse courses on
Amazon QuickSight
Show steps
Show steps
Show steps
- Identify tutorials relevant to your learning goals.
- Follow the steps outlined in the tutorials to build visualizations and analyze data.
- Experiment with different options and settings to customize your visualizations.
Attend industry meetups or webinars on data analytics
Show steps
Connect with professionals in the field of data analytics to gain insights and expand your knowledge beyond the classroom.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Research upcoming industry meetups or webinars.
- Register for events that align with your learning goals.
- Attend the events and actively participate in discussions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Build visualizations in Amazon QuickSight
Show steps
Solidify your skills in using Amazon QuickSight by practicing building visualizations with real-world datasets.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Import a dataset into Amazon QuickSight.
- Create visualizations using different chart types and options.
- Analyze the visualizations and identify insights.
Participate in a data visualization workshop
Show steps
Accelerate your learning by attending a data visualization workshop led by experienced professionals.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify workshops that align with your learning goals.
- Register for a workshop and prepare for the session.
- Actively participate in the workshop activities and discussions.
Develop a data visualization dashboard
Show steps
Demonstrate your understanding of Amazon QuickSight by creating a comprehensive data visualization dashboard that addresses a specific business problem.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a business problem that can be addressed with data visualization.
- Gather and prepare the necessary data.
- Design and build the dashboard using Amazon QuickSight.
- Present your dashboard and insights to stakeholders.
Volunteer as a data analyst
Show steps
Gain hands-on experience and apply your skills in a real-world setting by volunteering as a data analyst.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify organizations that accept volunteers with data analytics skills.
- Apply for volunteer positions and submit your resume and cover letter.
- Complete the volunteer training and orientation.
- Work on data analysis projects and contribute to the organization's goals.
Contribute to open-source data visualization projects
Show steps
Contribute to the open-source community by collaborating on data visualization projects.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify open-source data visualization projects on platforms like GitHub.
- Review the project documentation and identify areas where you can contribute.
- Submit a pull request with your contributions.
- Collaborate with other developers to improve the project.
Career center
Learners who complete Introduction to Amazon Quicksight will develop knowledge and skills
that may be useful to these careers:
Business Analyst
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 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 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
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 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 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 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 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 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 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 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 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 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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/z2rjd1/introduction
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.
Save
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.
Provides a comprehensive overview of machine learning with R. It covers a wide range of topics, including how to build machine learning models, train machine learning models, and evaluate machine learning models. It good resource for anyone who wants to learn more about machine learning with R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z2rjd1/introduction
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Time
18 hours
Level
Introductory
Via
Pluralsight
Instructor
AWS
Language
English
Good to know
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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