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Data analysis and visualization is one of the highest-impact, most in-demand skills. In this lesson, we'll introduce you to the fundamental concepts and terms that you'll need to step into this world.
Register for this course and see more details by visiting:
OpenCourser.com/course/tzcrcr/discovering
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What's inside
Syllabus
Data analysis and visualization is one of the highest-impact, most in-demand skills. In this lesson, we'll introduce you to the fundamental concepts and terms that you'll need to step into this world.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Beginners will get a strong foundational introduction to the fundamental terms they need to step into data analysis and visualization
Examines how to analyze data and effectively visualize it, which are in high demand skill sets across many industries
Taught by Udacity, who are recognized for their work in providing online educational resources and training
Save this course
Save Discovering Data Analysis and Visualization 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 Discovering Data Analysis and Visualization with these
activities:
Watch video tutorials on data analysis
Show steps
Supplement your course materials with video tutorials tailored to your learning style.
Show steps
-
Search for video tutorials on YouTube or other online platforms.
-
Watch the tutorials and take notes on key concepts.
Solve practice problems
Show steps
Practice makes perfect! Work on practice problems to develop fluency in skills taught in this course.
Show steps
-
Find practice problems online or in textbooks.
-
Work through the problems step-by-step.
-
Check your answers against the provided solutions.
Create a data visualization dashboard
Show steps
Put your data visualization skills into practice by creating your own dashboard. It's a fun and practical way to apply what you're learning in the course.
Show steps
-
Choose a dataset that interests you.
-
Use data visualization tools to create interactive charts and graphs.
-
Present your dashboard to others and get feedback.
One other activity
Expand to see all activities and additional details
Show all four activities
Work on a data analysis project
Show steps
Challenge yourself by applying your knowledge to a real-world data analysis project. This will give you valuable hands-on experience and help you build your portfolio.
Show steps
-
Identify a problem or opportunity that can be addressed with data.
-
Collect and analyze relevant data.
-
Develop insights and recommendations based on your analysis.
-
Present your findings to stakeholders.
Watch video tutorials on data analysis
Show steps
Supplement your course materials with video tutorials tailored to your learning style.
Show steps
Show steps
Show steps
- Search for video tutorials on YouTube or other online platforms.
- Watch the tutorials and take notes on key concepts.
Solve practice problems
Show steps
Practice makes perfect! Work on practice problems to develop fluency in skills taught in this course.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Work through the problems step-by-step.
- Check your answers against the provided solutions.
Create a data visualization dashboard
Show steps
Put your data visualization skills into practice by creating your own dashboard. It's a fun and practical way to apply what you're learning in the course.
Show steps
Show steps
Show steps
- Choose a dataset that interests you.
- Use data visualization tools to create interactive charts and graphs.
- Present your dashboard to others and get feedback.
One other activity
Expand to see all activities and additional details
Show all four activities
Work on a data analysis project
Show steps
Challenge yourself by applying your knowledge to a real-world data analysis project. This will give you valuable hands-on experience and help you build your portfolio.
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed with data.
- Collect and analyze relevant data.
- Develop insights and recommendations based on your analysis.
- Present your findings to stakeholders.
Career center
Learners who complete Discovering Data Analysis and Visualization will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/tzcrcr/discovering
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
Discovering Data Analysis and Visualization.
Save
Provides a comprehensive overview of deep learning concepts and algorithms, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for learners looking to gain a deeper understanding of the theoretical foundations of deep learning.
Provides a practical guide to deep learning using Python, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for learners looking to develop their practical skills in deep learning.
Save
Provides a practical and accessible introduction to data visualization, covering the fundamental concepts and techniques used to create effective visuals. It useful resource for beginners looking to gain a solid foundation in data visualization.
Provides a comprehensive guide to machine learning using Python, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for learners looking to develop their practical skills in machine learning.
Save
Provides a comprehensive guide to data analysis using R, covering topics such as data cleaning, manipulation, and visualization. It valuable resource for learners looking to develop their practical skills in data analysis.
Provides a practical guide to machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for learners looking to develop their practical skills in machine learning.
Provides a comprehensive guide to data analysis using Python, covering data cleaning, manipulation, and visualization. It valuable resource for learners looking to develop their practical skills in data analysis.
Provides a practical guide to data science for business professionals, covering topics such as data mining, data analysis, and data visualization. It valuable resource for learners looking to gain a practical understanding of how data science can be used to solve business problems.
Provides a practical guide to big data analytics using Java, covering topics such as data mining, data visualization, and distributed computing. It valuable resource for learners looking to develop their practical skills in big data analytics.
Provides a comprehensive guide to data science, covering topics such as data cleaning, manipulation, and visualization. It valuable resource for learners looking to gain a foundational understanding of the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tzcrcr/discovering
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Effort
1 hour
Via
Udacity
Language
English
Good to know
Beginners will get a strong foundational introduction to the fundamental terms they need to step into data analysis and visualization
Examines how to analyze data and effectively visualize it, which are in high demand skill sets across many industries
Taught by Udacity, who are recognized for their work in providing online educational resources and training
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