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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use an AI Platform Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches data retrieval for visualization from a cloud platform, making it relevant to back-end web developers and business analysts
Uses a hands-on approach with a self-paced lab
Develops skills highly relevant to cryptocurrency exchanges and Bitcoin economy
Requires ability to navigate the Google Cloud console and knowledge of Python for the lab, which may be a barrier for complete beginners

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Reviews summary

Bigquery & ai notebooks data viz lab

According to learners, this course offers a highly practical and engaging experience for visualizing data using BigQuery and AI Platform Notebooks. Many praise the clear, step-by-step instructions and the unique Bitcoin Pizza transaction theme, finding it a valuable hands-on opportunity to apply cloud data services. While generally well-received for its relevance and hands-on labs, some students highlight that it can be challenging for absolute beginners due to assumptions about prior Google Cloud Platform (GCP) familiarity, particularly regarding initial setup. The course is best suited for those with some existing technical background, providing a solid foundation for data analysis and visualization.
The lab's instructions are clear, and the unique topic keeps learners engaged.
"The step-by-step instructions were clear and easy to follow, even for someone who isn't a daily BigQuery user."
"Fantastic lab for anyone wanting to dive into BigQuery and AI Platform Notebooks. The instructions were crystal clear, making complex tasks straightforward."
"Visualizing the Bitcoin network was a unique and engaging application of the tools. The Bitcoin Pizza theme is a great hook."
Provides a highly practical and relevant experience with real-world application.
"This lab was incredibly insightful! I learned so much about querying large datasets in BigQuery and then using AI Notebooks for visualization."
"Excellent hands-on lab! The content is highly relevant for anyone working with Google Cloud data services."
"Loved this lab! Very practical and hands-on. It provided a clear path to understanding how to leverage Google Cloud tools for data analysis and visualization."
Some found the pacing quick, potentially requiring external research.
"I found some parts a bit fast-paced, especially if you're not familiar with GCP, but generally manageable."
"The instructions often felt incomplete or rushed, especially regarding BigQuery syntax and some of the data processing steps. I needed to do a lot of external research."
The course can be challenging for beginners, requiring some Google Cloud familiarity.
"I struggled with the initial setup in Google Cloud. It felt like some prerequisite knowledge was missing, or the steps assumed too much."
"I found this course quite challenging. While the topic is intriguing... Not for absolute beginners."
"Decent lab for BigQuery and AI Notebooks... However, I agree with others that it might be too advanced for complete novices in cloud computing."

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 Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks with these activities:
Find a Mentor in Data Visualization
Enhance your learning journey by finding a mentor who can provide guidance and support in data visualization.
Browse courses on Data Visualization
Show steps
  • Identify individuals in your network or online communities who have expertise in data visualization.
  • Reach out to potential mentors and express your interest in learning from them.
  • Establish regular communication and seek their guidance on your data visualization projects.
Identify a mentor in the field
Seek guidance and support from an experienced professional in the field to enhance your learning journey.
Show steps
  • Network with professionals in the industry.
  • Attend industry events and conferences.
  • Reach out to potential mentors and request their guidance.
Visualize the Bitcoin Pizza Transactions
Improve your understanding of data visualization by completing this practice exercise focused on visualizing Bitcoin Pizza Transactions.
Browse courses on Data Visualization
Show steps
  • Start an AI Platform Notebook instance in the Google Cloud console.
  • Load the Bitcoin pizza transaction dataset into BigQuery.
  • Create a graph of the transactions using NetworkX.
  • Visualize the graph using matplotlib.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Discuss Bitcoin Pizza Transactions with Peers
Improve your understanding of the topic by discussing Bitcoin Pizza Transactions with your peers.
Browse courses on Data Visualization
Show steps
  • Find a study group or online forum for discussing data visualization.
  • Share your insights and ask questions about Bitcoin pizza transactions.
  • Collaborate with others to create a group visualization.
Complete Google's tutorial on BigQuery
Supplement your learning by exploring Google's comprehensive BigQuery tutorial.
Browse courses on BigQuery
Show steps
  • Follow the tutorial's step-by-step instructions.
  • Complete the hands-on exercises.
  • Review the provided code samples.
Build a Bitcoin Pizza Transaction Visualizer
Learn how to build a Bitcoin Pizza Transaction Visualizer to enhance your data visualization skills.
Browse courses on Data Visualization
Show steps
  • Follow a tutorial on building a data visualization tool.
  • Apply the techniques to the Bitcoin pizza transaction dataset.
  • Create a visualization of the transactions.
Write a Blog Post about Visualizing Bitcoin Pizza Transactions
Improve your written communication and data visualization skills by creating a blog post on Bitcoin Pizza Transactions.
Browse courses on Data Visualization
Show steps
  • Research the topic of Bitcoin pizza transactions.
  • Create a visual representation of the data.
  • Write a blog post that explains the data and the visualization.
Solve practice problems on graph theory
Reinforce your understanding of graph theory through dedicated practice.
Browse courses on Graph Theory
Show steps
  • Find a set of practice problems.
  • Attempt to solve the problems on your own.
  • Review solutions to identify areas for improvement.
Create a Presentation on Bitcoin Pizza Transactions
Enhance your communication skills by creating a presentation on Bitcoin Pizza Transactions.
Browse courses on Data Visualization
Show steps
  • Gather information about the Bitcoin pizza transactions.
  • Organize the information into a logical flow.
  • Create visual aids to illustrate the data.
  • Practice presenting the information clearly and concisely.
Contribute to an Open-Source Data Visualization Project
Gain practical experience and contribute to the data visualization community by participating in open-source projects.
Browse courses on Data Visualization
Show steps
  • Identify open-source data visualization projects that align with your interests.
  • Review the project documentation and codebase.
  • Identify areas where you can contribute.
  • Make changes to the codebase and submit pull requests.
Write a summary of the course material
Reinforce your understanding by creating a concise summary of the key concepts covered in the course.
Show steps
  • Review your notes and course materials.
  • Identify the most important concepts.
  • Write a clear and well-organized summary.
Build a graph visualization tool
Apply your learning by creating a tool that visualizes graphs in an interactive way.
Browse courses on Data Visualization
Show steps
  • Design the user interface and functionality of your tool.
  • Implement the tool using a suitable programming language.
  • Test and refine your tool based on user feedback.
Participate in a hackathon
Challenge yourself by applying your skills in a competitive environment.
Show steps
  • Find a hackathon that aligns with your interests.
  • Form a team or work individually.
  • Develop a solution to the proposed problem.

Career center

Learners who complete Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses AI and Machine Learning to help organizations take advantage of data in new ways. This course may be helpful to a Data Scientist because it teaches how to use BigQuery and AI Notebooks to visualize and analyze large datasets. This is a valuable skill for Data Scientists, as it allows them to quickly and easily identify trends and patterns in data.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help organizations make better decisions. This course may be helpful to a Data Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze large datasets. This is a valuable skill for Data Analysts, as it allows them to quickly and easily identify trends and patterns in data.
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing data and identifying opportunities for improvement. This course may be helpful to a Business Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze large datasets. This is a valuable skill for Business Analysts, as it allows them to quickly and easily identify trends and patterns in data.
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course may be helpful to a Statistician because it teaches how to use BigQuery and AI Notebooks to visualize and analyze large datasets. This is a valuable skill for Statisticians, as it allows them to quickly and easily identify trends and patterns in data.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be helpful to a Software Engineer because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Software Engineers, as it allows them to quickly and easily identify bugs and performance issues in software applications.
Database Administrator
A Database Administrator manages and maintains databases. This course may be helpful to a Database Administrator because it teaches how to use BigQuery to visualize and analyze data. This is a valuable skill for Database Administrators, as it allows them to quickly and easily identify performance issues in databases.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. This course may be helpful to a Data Engineer because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Data Engineers, as it allows them to quickly and easily identify performance issues in data pipelines.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models. This course may be helpful to a Machine Learning Engineer because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Machine Learning Engineers, as it allows them to quickly and easily identify performance issues in machine learning models.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical techniques to help organizations improve their efficiency and effectiveness. This course may be helpful to an Operations Research Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Operations Research Analysts, as it allows them to quickly and easily identify opportunities for improvement in organizations.
Financial Analyst
A Financial Analyst helps organizations make informed decisions about their finances. This course may be helpful to a Financial Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Financial Analysts, as it allows them to quickly and easily identify trends and patterns in financial data.
Actuary
An Actuary uses mathematical and statistical techniques to assess and manage risk. This course may be helpful to an Actuary because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Actuaries, as it allows them to quickly and easily identify and quantify risks.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data. This course may be helpful to a Quantitative Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Quantitative Analysts, as it allows them to quickly and easily identify trends and patterns in financial data.
Risk Analyst
A Risk Analyst identifies and assesses risks to an organization. This course may be helpful to a Risk Analyst because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Risk Analysts, as it allows them to quickly and easily identify and quantify risks.
Data Manager
A Data Manager plans, develops, and maintains data assets. This course may be helpful to a Data Manager because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Data Managers, as it allows them to quickly and easily identify trends and patterns in data.
Auditor
An Auditor examines and verifies financial records. This course may be helpful to an Auditor because it teaches how to use BigQuery and AI Notebooks to visualize and analyze data. This is a valuable skill for Auditors, as it allows them to quickly and easily identify discrepancies and errors in financial records.

Reading list

We've selected eight 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 Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks.
Provides a comprehensive overview of Bitcoin, its history, technology, and use cases. It valuable resource for anyone who wants to learn more about Bitcoin and its potential impact on the future of money.
Examines the economic and social implications of Bitcoin, arguing that it superior form of money to fiat currencies. It thought-provoking read for anyone who is interested in the future of money and finance.
Provides a comprehensive overview of the cryptocurrency market, including Bitcoin, Ethereum, and other altcoins. It valuable resource for investors who are looking to learn more about cryptocurrencies and how to invest in them.
Provides a comprehensive overview of the technical aspects of Bitcoin and other cryptocurrencies. It valuable resource for anyone who wants to learn more about the underlying technology of cryptocurrencies.
Provides a simple and easy-to-understand guide to investing in cryptocurrencies. It valuable resource for beginners who are looking to learn more about cryptocurrencies and how to invest in them.
Provides a comprehensive overview of blockchain technology and its potential applications in business and industry. It valuable resource for business leaders and professionals who are looking to learn more about blockchain technology and how it can be used to improve their businesses.
Provides a comprehensive guide to blockchain technology and its applications. It valuable resource for developers, architects, and business leaders who are looking to learn more about blockchain technology.

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