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Mat Leonard, Miguel Morales, Chhavi Yadav, Dana Sheahan, Cezanne Camacho, Alexis Cook, Arpan Chakraborty, Luis Serrano, and Juan Delgado

What's inside

Syllabus

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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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
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
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'
Gain a solid foundation in data science for business by reading this introductory book.
Show steps
  • Purchase or borrow the book.
  • Read and take notes on the chapters.
Seven other activities
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Form a Study Group with Classmates
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
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
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
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
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
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
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.

Career center

Learners who complete Computing Resources will develop knowledge and skills that may be useful to these careers:

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.
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.
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 comprehensive overview of grid computing, including the infrastructure, services, and applications.

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