Guided Project
Secure Analysis of a Credit Card Dataset V2
One of the most commonly used tools in data science, pandas is a Python library used to load, process, and analyze datasets using SQL-like queries. Pandas offers several advantages, such as data representation, simpler lines of code, and the ability to handle large sets of data. A number of academic and commercial domains, including finance, economics, statistics, web analytics, and other entities, use pandas as part of their data analytics toolkit.
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One of the most commonly used tools in data science, pandas is a Python library used to load, process, and analyze datasets using SQL-like queries. Pandas offers several advantages, such as data representation, simpler lines of code, and the ability to handle large sets of data. A number of academic and commercial domains, including finance, economics, statistics, web analytics, and other entities, use pandas as part of their data analytics toolkit.
One of the most commonly used tools in data science, pandas is a Python library used to load, process, and analyze datasets using SQL-like queries. Pandas offers several advantages, such as data representation, simpler lines of code, and the ability to handle large sets of data. A number of academic and commercial domains, including finance, economics, statistics, web analytics, and other entities, use pandas as part of their data analytics toolkit.
In this hands-on guided project, you will learn to perform preliminary data analysis and credit risk analysis on a credit card client dataset using the Python library pandas. You will learn how to import required libraries, explore datasets, analyze data, and visualize the dataset. By the end of this project, you will have learned the fundamentals of data analysis using pandas and developed job-ready skills.
You will be provided with access to a Cloud based-IDE which has all of the required software, including Python pandas, pre-installed. All you need is a recent version of a modern web browser to complete this project.
What's inside
Learning objectives
- After completing this hands-on guided project, you’ll be able to:
- Explore a dataset and perform calculations using its data
- Build dependencies among existing attributes of a dataset
- Visualize the results of data analysis with various plot types
- After completing this hands-on guided project, you’ll be able to:
- Explore a dataset and perform calculations using its data
- Build dependencies among existing attributes of a dataset
- Visualize the results of data analysis with various plot types
Good to know
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Activities
Read 'Python Data Science Handbook' by Jake VanderPlas
Show steps
Provides a comprehensive overview of data science concepts and techniques using Python, reinforcing the course material and expanding your knowledge base.
View
Python Data Science Handbook: Essential Tools...
on Amazon
Show steps
-
Obtain a copy of the book.
-
Read the book thoroughly, taking notes and highlighting key concepts.
-
Complete the exercises and practice problems provided in the book.
Complete the Pandas Tutorial on TutorialsPoint
Show steps
Provides a structured and hands-on approach to learning Pandas, enhancing your understanding of its capabilities and practical applications.
Browse courses on
Pandas
Show steps
-
Visit the TutorialsPoint website.
-
Follow the Pandas Tutorial step-by-step.
-
Implement the examples provided in the tutorial.
Join a Pandas study group
Show steps
Facilitates collaboration, knowledge sharing, and peer support, enhancing your learning experience and deepening your understanding of Pandas.
Browse courses on
Pandas
Show steps
-
Identify or create a study group.
-
Set regular meeting times.
-
Discuss topics, share resources, and work on projects together.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Work through Pandas exercises on LeetCode
Show steps
Provides a platform for practicing Pandas skills, reinforcing your understanding and improving your problem-solving abilities.
Browse courses on
Pandas
Show steps
-
Create a LeetCode account.
-
Filter the problems by the 'Pandas' tag.
-
Solve the exercises, debugging and optimizing your code.
Mentor a beginner in Pandas
Show steps
Reinforces your understanding by explaining concepts to others, improves your communication skills, and contributes to the community.
Browse courses on
Pandas
Show steps
-
Identify or recruit a mentee.
-
Meet regularly to provide guidance and support.
-
Review their progress and offer constructive feedback.
Attend a Pandas workshop or conference
Show steps
Provides an immersive learning experience, allowing you to connect with experts, learn about the latest advancements, and expand your professional network.
Browse courses on
Pandas
Show steps
-
Research and identify relevant workshops or conferences.
-
Register and attend the event.
-
Actively participate in sessions and networking opportunities.
Write a blog post on Pandas data analysis techniques
Show steps
Encourages you to synthesize your knowledge, improve your communication skills, and share your understanding of Pandas with a broader audience.
Browse courses on
Pandas
Show steps
-
Choose a specific Pandas technique or application.
-
Research and gather relevant information.
-
Write the blog post, including code examples and clear explanations.
-
Publish your blog post on an appropriate platform.
Participate in a Pandas-based data analysis competition
Show steps
Challenges your skills, encourages problem-solving, and provides an opportunity to showcase your expertise and win recognition.
Browse courses on
Pandas
Show steps
-
Identify and register for a relevant competition.
-
Study the competition guidelines and data.
-
Develop and implement your data analysis approach.
-
Submit your solution and await the results.
Read 'Python Data Science Handbook' by Jake VanderPlas
Show steps
Provides a comprehensive overview of data science concepts and techniques using Python, reinforcing the course material and expanding your knowledge base.
View
Python Data Science Handbook: Essential Tools...
on Amazon
Show steps
- Obtain a copy of the book.
- Read the book thoroughly, taking notes and highlighting key concepts.
- Complete the exercises and practice problems provided in the book.
Complete the Pandas Tutorial on TutorialsPoint
Show steps
Provides a structured and hands-on approach to learning Pandas, enhancing your understanding of its capabilities and practical applications.
Browse courses on
Pandas
Show steps
- Visit the TutorialsPoint website.
- Follow the Pandas Tutorial step-by-step.
- Implement the examples provided in the tutorial.
Join a Pandas study group
Show steps
Facilitates collaboration, knowledge sharing, and peer support, enhancing your learning experience and deepening your understanding of Pandas.
Browse courses on
Pandas
Show steps
- Identify or create a study group.
- Set regular meeting times.
- Discuss topics, share resources, and work on projects together.
Work through Pandas exercises on LeetCode
Show steps
Provides a platform for practicing Pandas skills, reinforcing your understanding and improving your problem-solving abilities.
Browse courses on
Pandas
Show steps
- Create a LeetCode account.
- Filter the problems by the 'Pandas' tag.
- Solve the exercises, debugging and optimizing your code.
Mentor a beginner in Pandas
Show steps
Reinforces your understanding by explaining concepts to others, improves your communication skills, and contributes to the community.
Browse courses on
Pandas
Show steps
- Identify or recruit a mentee.
- Meet regularly to provide guidance and support.
- Review their progress and offer constructive feedback.
Attend a Pandas workshop or conference
Show steps
Provides an immersive learning experience, allowing you to connect with experts, learn about the latest advancements, and expand your professional network.
Browse courses on
Pandas
Show steps
- Research and identify relevant workshops or conferences.
- Register and attend the event.
- Actively participate in sessions and networking opportunities.
Write a blog post on Pandas data analysis techniques
Show steps
Encourages you to synthesize your knowledge, improve your communication skills, and share your understanding of Pandas with a broader audience.
Browse courses on
Pandas
Show steps
- Choose a specific Pandas technique or application.
- Research and gather relevant information.
- Write the blog post, including code examples and clear explanations.
- Publish your blog post on an appropriate platform.
Participate in a Pandas-based data analysis competition
Show steps
Challenges your skills, encourages problem-solving, and provides an opportunity to showcase your expertise and win recognition.
Browse courses on
Pandas
Show steps
- Identify and register for a relevant competition.
- Study the competition guidelines and data.
- Develop and implement your data analysis approach.
- Submit your solution and await the results.
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