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Mat Leonard,
Miguel Morales,
Chhavi Yadav,
Dana Sheahan,
Cezanne Camacho,
Alexis Cook,
Arpan Chakraborty,
Luis Serrano,
and
Juan Delgado
Register for this course and see more details by visiting:
OpenCourser.com/course/ax8kxp/computing
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Fits well with students who are new to the technical field of Udacity
Taught by recognized leaders in the technology industry, including Mat Leonard, Miguel Morales, and Chhavi Yadav
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Reviews summary
Udacity workspace onboarding
According to learners, this course serves as an essential guide for navigating Udacity's Workspaces. Students find it clear and concise, making the initial setup of computing environments straightforward for new users. While highly effective for its intended purpose of platform onboarding, some learners note its limited scope, as it focuses exclusively on Udacity-specific tools rather than broader computing concepts. It is considered a practical first step for those embarking on technical courses within the Udacity ecosystem, ensuring a smooth start by clarifying how to utilize the in-browser coding environment.
The instructions are clear, making practical application straightforward.
"The instructions were very clear and easy to follow, making the workspace setup a breeze. I appreciated the practical approach."
"It's a very practical course; it got me up and running with the Udacity workspace almost immediately. No fluff, just what you need."
"I found the step-by-step guidance invaluable. It directly addressed how to use the environment, which was exactly what I needed at that moment."
Provides crucial guidance for using Udacity's integrated workspaces.
"This course was incredibly helpful for understanding how to use the Udacity classroom environments. It's a must-do before other technical courses."
"As a newcomer to Udacity, I found this truly indispensable for setting up my computing resources. It clearly explains the workspace."
"I really needed this guide to get familiar with the coding environment. It made starting other courses much smoother for me."
The course covers platform-specific tools, not broad computing concepts.
"I was expecting a course on general computing resources, but this is solely about Udacity's internal tools. It's a bit misleading given the title."
"If you're looking for an actual 'computing' course, this isn't it. It's just a guide on how to use their workspace, which is fine, but know that going in."
"While useful for Udacity, I didn't gain any transferable computing knowledge. Its scope is very limited to the platform itself."
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 Computing Resources with these
activities:
Review Basic Statistics Concepts
Show steps
Refresh your memory on basic statistics concepts to strengthen your foundation for data analysis.
Browse courses on
Statistics
Show steps
-
Review notes or textbooks on basic statistics.
-
Solve practice problems to reinforce your understanding.
Review Workspace navigation
Show steps
Revisiting the layout and main functions of the workspace will help you become familiar with the course layout
Show steps
-
Navigate to the Workspace tab
-
Identify the sidebar menu options
-
Explore the course materials organization
Read 'Data Science for Business'
Show steps
Gain a solid foundation in data science for business by reading this introductory book.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
-
Purchase or borrow the book.
-
Read and take notes on the chapters.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Form a Study Group with Classmates
Show steps
Improve your comprehension and retention by forming a study group with classmates to discuss course topics.
Show steps
-
Reach out to classmates and find those who are interested in forming a study group.
-
Set up regular meeting times and locations.
-
Establish a structure for your study sessions.
Attend Python Data Analysis Workshop
Show steps
Reinforce the course materials by attending this workshop that will hone your Python skills in data analysis.
Show steps
-
Register for the workshop.
-
Attend the workshop and actively participate in the exercises.
-
Take notes and ask questions to enhance your understanding.
Solve Data Analysis Problems on LeetCode
Show steps
Solidify your data analysis skills by practicing on LeetCode, which offers a wide range of data analysis problems.
Show steps
-
Create an account on LeetCode.
-
Choose data analysis problems and work through them.
Participate in a Data Analytics Hackathon
Show steps
Test your skills and expand your knowledge by participating in a data analytics hackathon.
Show steps
-
Find a data analytics hackathon to participate in.
-
Form a team or work individually.
-
Develop a project that addresses the hackathon's challenge.
Write a Blog Post on Data Visualization Techniques
Show steps
Deepen your understanding of data visualization by creating a blog post that explores different techniques.
Show steps
-
Research data visualization techniques.
-
Choose a specific topic to focus on.
-
Write the blog post, including examples and explanations.
Mentor Junior Data Analysts
Show steps
Enhance your understanding by sharing your knowledge and mentoring junior data analysts.
Show steps
-
Identify opportunities to mentor junior data analysts.
-
Provide guidance and support as they work on projects.
Build a Data Analysis Dashboard
Show steps
Demonstrate your data analysis skills by creating a dashboard that visualizes and summarizes key insights.
Show steps
-
Identify the data sources and collect the necessary data.
-
Choose a data visualization tool and design the dashboard.
-
Implement the dashboard and deploy it for others to view.
Review Basic Statistics Concepts
Show steps
Refresh your memory on basic statistics concepts to strengthen your foundation for data analysis.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review notes or textbooks on basic statistics.
- Solve practice problems to reinforce your understanding.
Review Workspace navigation
Show steps
Revisiting the layout and main functions of the workspace will help you become familiar with the course layout
Show steps
Show steps
Show steps
- Navigate to the Workspace tab
- Identify the sidebar menu options
- Explore the course materials organization
Read 'Data Science for Business'
Show steps
Gain a solid foundation in data science for business by reading this introductory book.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book.
- Read and take notes on the chapters.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Form a Study Group with Classmates
Show steps
Improve your comprehension and retention by forming a study group with classmates to discuss course topics.
Show steps
Show steps
Show steps
- Reach out to classmates and find those who are interested in forming a study group.
- Set up regular meeting times and locations.
- Establish a structure for your study sessions.
Attend Python Data Analysis Workshop
Show steps
Reinforce the course materials by attending this workshop that will hone your Python skills in data analysis.
Show steps
Show steps
Show steps
- Register for the workshop.
- Attend the workshop and actively participate in the exercises.
- Take notes and ask questions to enhance your understanding.
Solve Data Analysis Problems on LeetCode
Show steps
Solidify your data analysis skills by practicing on LeetCode, which offers a wide range of data analysis problems.
Show steps
Show steps
Show steps
- Create an account on LeetCode.
- Choose data analysis problems and work through them.
Participate in a Data Analytics Hackathon
Show steps
Test your skills and expand your knowledge by participating in a data analytics hackathon.
Show steps
Show steps
Show steps
- Find a data analytics hackathon to participate in.
- Form a team or work individually.
- Develop a project that addresses the hackathon's challenge.
Write a Blog Post on Data Visualization Techniques
Show steps
Deepen your understanding of data visualization by creating a blog post that explores different techniques.
Show steps
Show steps
Show steps
- Research data visualization techniques.
- Choose a specific topic to focus on.
- Write the blog post, including examples and explanations.
Mentor Junior Data Analysts
Show steps
Enhance your understanding by sharing your knowledge and mentoring junior data analysts.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior data analysts.
- Provide guidance and support as they work on projects.
Build a Data Analysis Dashboard
Show steps
Demonstrate your data analysis skills by creating a dashboard that visualizes and summarizes key insights.
Show steps
Show steps
Show steps
- Identify the data sources and collect the necessary data.
- Choose a data visualization tool and design the dashboard.
- Implement the dashboard and deploy it for others to view.
Career center
Learners who complete Computing Resources will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/ax8kxp/computing
Reading list
We've selected 12 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
Computing Resources.
Provides a comprehensive overview of cloud computing concepts, architectures, and applications. It valuable resource for understanding the fundamental principles and practices of cloud computing.
Provides a comprehensive introduction to distributed and cloud computing. It covers topics such as distributed systems, cloud computing architectures, and cloud applications. It useful reference for understanding the concepts and technologies of distributed and cloud computing.
Provides a hands-on approach to cloud computing. It covers topics such as cloud computing concepts, cloud services, and cloud security. It useful resource for understanding the practical aspects of cloud computing.
Provides a practical guide to cloud computing. It covers topics such as cloud computing concepts, cloud services, and cloud security. It useful resource for understanding the practical aspects of cloud computing.
Provides a comprehensive guide to cloud computing. It covers topics such as cloud computing architectures, cloud services, and cloud security. It valuable resource for understanding the concepts and technologies of cloud computing.
Save
Provides a comprehensive overview of cloud computing. It covers topics such as cloud computing architectures, cloud technologies, and cloud applications. It useful resource for understanding the concepts and technologies of cloud computing.
Save
Provides a theoretical and practical introduction to cloud computing. It covers topics such as cloud computing concepts, cloud architectures, and cloud applications.
Provides a beginner-friendly introduction to cloud computing. It covers topics such as cloud computing concepts, cloud services, and cloud security. It useful resource for understanding the basics of cloud computing.
Provides a guide to cloud computing for software architects.
Save
Provides a comprehensive overview of distributed computing principles and applications.
Save
Provides a comprehensive overview of grid computing, including the infrastructure, services, and applications.
Provides a comprehensive overview of high performance computing architectures and systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ax8kxp/computing
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Time
20 hours
Level
Advanced
Via
Udacity
Instructors
Mat Leonard
Miguel Morales
Chhavi Yadav
Dana Sheahan
Cezanne Camacho
Alexis Cook
Arpan Chakraborty
Luis Serrano
Juan Delgado
Language
English
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