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Katie Gaertner
In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to enhance decision-making. In the second half of the course, use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.
Read more
In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to enhance decision-making. In the second half of the course, use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.
Read more
In this course, gain experience in data visualization and cloud technologies to support business analytics. In the first half of the course, create and share compelling data visualizations to enhance decision-making. In the second half of the course, use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.
What you'll learn
You will learn to create and share compelling data visualizations and dashboards; integrate visualizations and dashboards into business functions to support decision making; explain the cloud landscape for business analytics - i.e. vendors, services and costs; setup and manage a cloud data warehouse; build and deploy a machine learning model in the cloud; and analyze big data in a cloud environment.
Register for this course and see more details by visiting:
OpenCourser.com/course/bndnea/data
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Good to know
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what to watch for , and
possible dealbreakers
Explores data visualization and cloud technologies, which are standard in the business analytics industry
Emphasizes application, with content on setting up and managing a cloud data warehouse, building and deploying machine learning, and analyzing big data
Taught by experienced instructors, whose expertise in the field helps learners apply skills and knowledge to real-world settings
Provides a comprehensive overview of data visualization and cloud technologies for business analytics, covering key concepts and tools
May be a good fit for professionals in the business analytics field looking to expand their knowledge and skillset
Save this course
Save Data Visualization & Cloud Technologies 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 Data Visualization & Cloud Technologies with these
activities:
Review concepts of data visualization
Show steps
Understanding data visualization will provide a solid foundation for understanding the first half of this course.
Browse courses on
Data Visualization
Show steps
-
Review the concepts of data visualization, charts, and graphs.
-
Practice creating different types of data visualizations.
Work on practice problems for data visualization
Show steps
Practice problems will provide an opportunity to reinforce your understanding of data visualization concepts and techniques.
Browse courses on
Data Visualization
Show steps
-
Find practice problems online or in textbooks.
-
Work through the problems and check your answers.
Follow tutorials on cloud technologies
Show steps
Tutorials will help you learn about the different cloud technologies and services that are available.
Browse courses on
Cloud Computing
Show steps
-
Find tutorials on cloud technologies that are relevant to your interests.
-
Follow the tutorials and complete the exercises.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will allow you to apply your skills and knowledge to a real-world problem.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset that you want to visualize.
-
Choose the appropriate data visualization techniques for your dataset.
-
Create a dashboard that includes your visualizations.
-
Share your dashboard with others and get feedback.
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will challenge you to apply your skills and knowledge in a competitive environment.
Browse courses on
Data Visualization
Show steps
-
Find a data visualization competition that you want to participate in.
-
Gather the data that you need to create your visualization.
-
Create your visualization and submit it to the competition.
-
Get feedback on your visualization from the judges.
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source data visualization project will allow you to learn from and collaborate with other data visualization experts.
Browse courses on
Data Visualization
Show steps
-
Find an open-source data visualization project that you want to contribute to.
-
Identify a way that you can contribute to the project.
-
Make your contributions to the project.
-
Get feedback on your contributions from the project maintainers.
Review concepts of data visualization
Show steps
Understanding data visualization will provide a solid foundation for understanding the first half of this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review the concepts of data visualization, charts, and graphs.
- Practice creating different types of data visualizations.
Work on practice problems for data visualization
Show steps
Practice problems will provide an opportunity to reinforce your understanding of data visualization concepts and techniques.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Work through the problems and check your answers.
Follow tutorials on cloud technologies
Show steps
Tutorials will help you learn about the different cloud technologies and services that are available.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Find tutorials on cloud technologies that are relevant to your interests.
- Follow the tutorials and complete the exercises.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will allow you to apply your skills and knowledge to a real-world problem.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a dataset that you want to visualize.
- Choose the appropriate data visualization techniques for your dataset.
- Create a dashboard that includes your visualizations.
- Share your dashboard with others and get feedback.
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will challenge you to apply your skills and knowledge in a competitive environment.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a data visualization competition that you want to participate in.
- Gather the data that you need to create your visualization.
- Create your visualization and submit it to the competition.
- Get feedback on your visualization from the judges.
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source data visualization project will allow you to learn from and collaborate with other data visualization experts.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find an open-source data visualization project that you want to contribute to.
- Identify a way that you can contribute to the project.
- Make your contributions to the project.
- Get feedback on your contributions from the project maintainers.
Career center
Learners who complete Data Visualization & Cloud Technologies will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
The combination of data visualization and cloud technologies can be an incredibly valuable asset to a Data Analyst. This course can help provide you with the skills necessary to gather, analyze, visualize, and present data to support decision-making within an organization. The ability to leverage cloud technologies to analyze big data and develop machine learning models can provide an even greater competitive edge.
Business Analyst
Business Analyst
In this role, you will be responsible for analyzing data to identify and solve business problems, and creating visualizations to communicate insights to stakeholders. The skills you will gain from this course in data visualization and cloud technologies will be highly applicable here.
Data Scientist
Data Scientist
This course provides a strong foundation for a career as a Data Scientist, as it covers the essential skills of data visualization, cloud technologies, and machine learning. With these skills, you will be able to extract insights from large datasets and develop predictive models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models to solve real-world problems. The skills you will gain from this course in cloud technologies and machine learning will be highly applicable here, as you will need to be able to build and deploy models in a scalable and efficient manner.
Data Engineer
Data Engineer
This course can provide you with the skills necessary to build and manage scalable data warehouses, analyze big data, and develop and deploy machine learning models. All of these skills are essential for a successful career as a Data Engineer.
Cloud Architect
Cloud Architect
Cloud Architects are the ones who design, build, and manage cloud-based systems for organizations. The skills you will gain from this course in cloud technologies will be highly applicable, as you will need to be able to design and manage scalable and efficient cloud-based systems.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating and sharing compelling data visualizations and dashboards. This course will provide you with the skills necessary to do just that, and can help you build a successful career in this field.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis and visualization to help businesses make better decisions. This course provides the perfect foundation for a career in this field, as it covers the essential skills of data visualization, data analysis, and cloud technologies.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects are responsible for designing and building data warehouses. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of cloud technologies, data warehousing, and data analysis.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud-based systems and data. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of cloud technologies and security.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software systems. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of cloud technologies and software development.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of cloud technologies and database management.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for developing and implementing data governance policies and procedures. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of data governance and cloud technologies.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information systems from cyber attacks. This course can provide you with the skills necessary to be successful in this role, as it covers the essential skills of cloud technologies and information security.
Technical Project Manager
Technical Project Manager
Technical Project Managers are responsible for planning, executing, and monitoring technical projects. This course can provide you with the skills necessary to be successful in this role, as it covers essential skills of project management and cloud technologies.
For more career information including salaries, visit:
OpenCourser.com/course/bndnea/data
Reading list
We've selected ten 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
Data Visualization & Cloud Technologies.
Provides a comprehensive overview of data visualization techniques and best practices. It valuable resource for learners who want to gain a deeper understanding of how to create effective visualizations that communicate data insights clearly and effectively.
Provides a comprehensive overview of cloud computing technologies and their application in data analytics. It valuable resource for learners who want to gain a deeper understanding of how to use cloud computing to build and deploy data analytics solutions.
Provides a comprehensive overview of machine learning techniques and their application in data analytics. It valuable resource for learners who want to gain a deeper understanding of how to use machine learning to build and deploy predictive models.
Provides a comprehensive overview of data warehousing concepts and techniques. It valuable resource for learners who want to gain a deeper understanding of how to design and implement data warehouses.
Save
Provides a comprehensive overview of Power BI, a popular data visualization tool. It valuable resource for learners who want to gain a deeper understanding of how to use Power BI to create effective visualizations.
Provides a comprehensive overview of Amazon Web Services (AWS) services for data analytics. It valuable resource for learners who want to gain a deeper understanding of how to use AWS to build and deploy data analytics solutions.
Provides a comprehensive overview of machine learning techniques using Python. It valuable resource for learners who want to gain a deeper understanding of how to build and deploy predictive models using code.
Provides a comprehensive overview of deep learning techniques using Python. It valuable resource for learners who want to gain a deeper understanding of how to build and deploy deep learning models using code.
Provides a comprehensive overview of cloud computing concepts and technologies. It valuable resource for learners who want to gain a deeper understanding of the cloud computing landscape and its applications.
Provides a comprehensive overview of data science concepts and techniques. It valuable resource for learners who want to gain a deeper understanding of how data science can be used to solve business problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/bndnea/data
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Effort
12 to 15 hours per week for 8 weeks
Level
Introductory
Via
edX
Institution
The University of Wisconsin-Madison
Instructor
Katie Gaertner
Session
March 18, 2024
- May 13, 2024
Language
English
Transcript
English
Good to know
Explores data visualization and cloud technologies, which are standard in the business analytics industry
Emphasizes application, with content on setting up and managing a cloud data warehouse, building and deploying machine learning, and analyzing big data
Taught by experienced instructors, whose expertise in the field helps learners apply skills and knowledge to real-world settings
Provides a comprehensive overview of data visualization and cloud technologies for business analytics, covering key concepts and tools
May be a good fit for professionals in the business analytics field looking to expand their knowledge and skillset
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